CN105682012A - Data transmission method, mobile sensing node and data transmission system - Google Patents

Abstract

The present application provides a data transmission method, system and mobile sensor node. In the method, the user receives and processes the first target data to be received on the moving path through the user's mobile sensor device, and when moving to the wireless When within the wireless range of the access point, the wireless access point is used to send the data to be uploaded stored in the mobile sensing device to the server node. It can be seen that when this application is applied, the user's mobile sensing device can exchange data between mobile sensing devices, transmission, and when moving to the corresponding wireless access point, the wireless access point can be used to deliver data to the server node. Therefore, this application implements a data transmission scheme based on a free opportunistic network, which can effectively improve user participation Enthusiasm for providing information, thereby improving the application quality of mobile crowd sensing.

Description

A data transmission method, mobile sensor node and data transmission system

technical field

The invention belongs to the application field of mobile group intelligence sensing, and in particular relates to a data transmission method, a mobile sensor node and a data transmission system.

Background technique

Mobile crowd sensing is human-centered perception, which uses mobile users with sensing, computing and communication capabilities to perceive, collect and deliver information to provide universal services.

Nowadays, with the development and popularization of mobile terminals such as smart phones, the application of mobile crowd sensing is rising day by day. Using mobile sensing devices with good perception and wireless communication capabilities such as smart phones and vehicle-mounted sensor devices, people can Large-scale distributed information collection is carried out in the center, and a steady stream of data information is provided for a large number of applications and decisions. For example, use the relevant information provided by participants to predict and plan traffic congestion, predict bus arrival information, monitor urban carbon dioxide, and construct urban noise distribution maps. The realization of mobile crowd sensing applications requires the use of smart phones and other mobile sensing devices carried by people to collect information, and then transmit the collected information to the data service center through the wireless network. On this basis, the data service center analyzes and processes the data and make decisions.

At present, point-to-point data transmission methods based on 3G/4G (3rd-Generation/4th-Generation, third/fourth generation mobile communication technology) mobile networks are generally used to upload and deliver data collected by terminals to data service centers. /4G network is currently a non-free service, and information providers need to consume their customized network traffic based on a certain fee when submitting information, which will reduce the enthusiasm of information providers to participate in information provision, thereby affecting the application quality of mobile crowd sensing.

Contents of the invention

In view of this, the purpose of the present invention is to provide a data transmission method, a mobile sensor node and a data transmission system, aiming at increasing the user's enthusiasm for participating in information provision by implementing a data transmission scheme based on a free opportunistic network, and further Improve the application quality of mobile crowd sensing.

For this reason, the present invention discloses following technical scheme:

A data transmission method comprising:

Obtain the source location and destination location of the user of the mobile sensing device;

determining a target path between the source location and the destination location, and displaying the target path; the target path includes a wireless access point;

judging whether the user of the mobile sensing device moves using the target path;

If so, receiving and processing the first target data to be received on the target path, and using the wireless access point when the user of the mobile sensing device moves within the wireless range of the wireless access point Sending the second target data to be uploaded in the mobile sensing device to the server node.

In the above method, preferably, the target path is: the shortest path between the source location and the destination location including a wireless access point.

In the above method, preferably, the first target data includes: the data to be sensed on the target path and the data to be forwarded by other mobile sensing devices on the target path; the second target data includes: the The sensing data of the mobile sensing device itself and the forwarding data from other mobile sensing devices.

In the above method, preferably, the first target data includes encoding vectors and first generation information, then the receiving and processing the to-be-received first target data on the target path includes:

When the preset condition is met, receiving the first target data on the target path; wherein the preset condition is: the encoding vector of the first target data is nonlinearly related to the coefficient matrix of the second contemporary information, Wherein, the second contemporaneous information is information stored in the mobile sensing device in the same generation as the first target data;

Predetermined network coding processing is performed on the first target data to obtain corresponding coded data, and the coded data is stored.

In the above method, preferably, the network coding process is random linear network coding.

A mobile sensor node having mobility synchronized with a moving user, said node comprising:

A location acquisition module, configured to acquire the user's source location and destination location;

a path determination module, configured to determine a target path between the source location and the destination location, and display the target path; the target path includes a wireless access point;

A judging module, configured to judge whether the user uses the target path to move;

A data transmission processing module, configured to receive and process the first target data to be received on the target path when the judgment result is yes, and when the user moves to the wireless range of the wireless access point, use the The wireless access point sends the second target data to be uploaded in the mobile sensor node to the server node.

For the above-mentioned mobile sensor node, preferably, the first target data includes encoding vectors and first generation information, then the data transmission processing module includes:

A data receiving unit, configured to receive the first target data on the target path when a preset condition is met; wherein, the preset condition is: the coding vector of the first target data and the code vector of the second contemporary information The coefficient matrix is non-linearly correlated, wherein the second contemporaneous information is information of the same generation as the first target data stored in the mobile sensing device;

The data encoding unit is configured to perform predetermined network encoding processing on the first target data to obtain corresponding encoded data, and store the encoded data.

A data transmission system, including a wireless access point, a server node, and a mobile sensor node as described above, wherein:

The mobile sensor node uploads data to the server node through the wireless access point.

In the above system, preferably, the data uploaded by the mobile sensor node is: coded data processed by preset network coding, and the server node is used for:

Decoding the coded data to obtain readable sensing data; performing required analysis and decision-making on the readable sensing data.

In the above system, preferably, the wireless access point is a Wi-Fi hotspot.

It can be seen from the above scheme that in the data transmission method disclosed in this application, the user receives and processes the first target data to be received on the moving path through his mobile sensing device, and when moving to the wireless range of the wireless access point , using the wireless access point to send the data to be uploaded stored in the mobile sensing device to the server node. It can be seen that when this application is applied, the user's mobile sensing device can exchange data between mobile sensing devices, transmission, and when moving to the corresponding wireless access point (such as WiFi hotspot, etc.), the wireless access point can be used to deliver data to the server node, thus, this application realizes a data transmission scheme based on free opportunistic network , which can effectively enhance the enthusiasm of users to participate in information provision, thereby improving the application quality of mobile crowd sensing.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only It is an embodiment of the present invention, and those skilled in the art can also obtain other drawings according to the provided drawings without creative work.

FIG. 1 is a flowchart of a data transmission method provided by Embodiment 1 of the present invention;

FIG. 2 is a flow chart of a data transmission method provided by Embodiment 2 of the present invention;

3-4 are schematic structural diagrams of a mobile sensor node provided by Embodiment 3 of the present invention.

detailed description

For the sake of reference and clarity, the technical terms, abbreviations or abbreviations used in the following text are summarized as follows:

Weak security network coding: It is a technology that uses network coding to achieve weak security privacy protection. It can realize privacy protection for information providers with low computing consumption, while improving the success rate of information transmission and reducing network transmission overhead.

Map-based Dijkstra algorithm: Let G=(L, E) be a weighted directed graph, L represents the location set of road inflection points and intersections in the map, and the vertex set L in the graph is divided into two groups, the first group is already Find the vertex set S of the shortest path. Initially, there is only one source point in S. After finding a shortest path P, add the corresponding vertices of P to the set S until all vertices are added to S. The second group For the rest of the vertex set U whose shortest path has not been determined, add the vertices of the second group into S in the ascending order of the shortest path length. In the process of joining, always keep the shortest path length from the source point to each vertex in S not greater than the shortest path length from the source point to any vertex in U. In addition, each vertex corresponds to a distance, the distance of the vertex in S is the shortest path length from the source point to this vertex, and the distance of the vertex in U is from the source point to this vertex, only including the vertex in S as the intermediate vertex The current shortest path length of .

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

In order to solve the above-mentioned problems existing in the application of mobile crowdsensing in the prior art, this application provides a data transmission scheme based on free opportunistic networks to enhance users' enthusiasm for participating in information provision, thereby improving the application quality of mobile crowdsensing . Next, the scheme of the present application will be described in detail through multiple embodiments.

Embodiment one

Embodiment 1 of the present invention discloses a data transmission method, which can be applied to mobile sensing devices with good perception and wireless communication capabilities, such as smart phones and vehicle-mounted sensor devices.

The implementation of the solution of this application by the mobile sensor device needs to be based on the corresponding mobile sensor network. This embodiment specifically provides a mobile sensor network based on opportunistic networks and the Internet, wherein the opportunistic network is the mobile sensor device during the mobile process In the short-range sensing network formed by corresponding wireless communication technologies, such as Bluetooth and other short-range wireless communication technologies and other mobile sensing devices, the network uses Wi-Fi (Wireless Fidelity, wireless security) set in the moving path The combination of wireless access points such as real) hotspots and the Internet can constitute the mobile sensor network required for the implementation of the application scheme.

This embodiment first defines various types of nodes included in the mobile sensor network:

1) Mobile sensor node:

V＝{v _i |1≤i≤ω,i∈N ₊ ,ω∈N+};

Among them, V represents the set of mobile sensor nodes, v _i represents the mobile sensor nodes, ω represents the number of mobile sensor nodes in the mobile sensor network, and N ₊ represents a natural number.

The mobile sensor node may specifically be a mobile sensor device with good perception and wireless communication capabilities, such as a smart phone and a vehicle-mounted sensor device described above.

2) Wireless access point:

W＝{w _i |1≤i≤δ, i∈N ₊ ,δ∈N ₊ };

Wherein, W represents a set of wireless access points, w _i represents a wireless access point, and δ represents the number of wireless access points. The wireless access point may specifically be a Wi-Fi hotspot for accessing the Internet.

3) Server node:

F = {f};

Wherein, F represents a set of server nodes, f represents a server node, and the server node may specifically be a server with corresponding data processing capabilities in the network.

On the basis of defining the mobile sensor network and its nodes, the following continues to describe the data transmission method applicable to mobile sensor nodes provided by this application. Referring to the flow chart of the data transmission method shown in Figure 1, the method may include The following steps:

S101: Obtain a source location and a destination location of a mobile sensing device user.

Specifically, the user can submit the source location and destination location corresponding to his movement to the mobile sensing device by using position setting or input on the screen interface of the mobile sensing device such as a smart phone.

S102: Determine a target path between the source location and the destination location, where the target path includes a wireless access point.

In this embodiment, the target path is the shortest path between the source location and the destination location including Wi-Fi hotspots.

Specifically, this embodiment proposes a H-SPMBM (HotShortestPathMapBasedMovement) mobility model in combination with the characteristics of people's mobility and the widespread popularity of Wi-Fi hotspots. The shortest path for the Wi-Fi node to reach the destination, so that the quality of data transmission is greatly enhanced while increasing the moving distance of people as little as possible, and the efficiency of data transmission is improved.

In this model, the shortest path length between any two points A and B on the map calculated by the map-based Dijkstra algorithm is recorded as D(A,B), the source location of the user is recorded as L _s , and the destination location Denote it as L _e , let D ₀ =D(L _s ,L _e ). And calculate the shortest path D _min including the Wi-Fi hotspot between the user's source location L _s and destination location L _e through the following equations (1) and (2):

D _i ＝D(L _s ,L(w _i ))+D(L(w _i ),L _e )(1)

D _min ＝Min(D _i ), 1≤i≤δ, (2)

Among them, D _i represents the shortest path length between the user source location L _s and the destination location L _e calculated by using the map-based Dijkstra algorithm through the Wi-Fi hotspot w _i , and δ represents the Wi-Fi hotspot in the mobile sensor network The number of Fi hotspots, Min(D _i ) refers to the minimum value among all D _i .

After calculating the shortest path _Dmin including the Wi-Fi hotspot between the user's source location and the destination location, the shortest path can be displayed on the mobile sensing device for the user's reference, so that the user can selectively decide whether to use The target path moves to a destination.

In order to prevent D _min -D ₀ from being too large, a distance threshold β can be set. When the difference between the length of the target path and the D ₀ does not exceed the distance threshold, that is, D _min -D ₀ ≤ β, it can be It is recommended that the user choose the target path to move to the destination; on the contrary, if the difference between the length of the target path and the D ₀ exceeds the distance threshold, that is, D _min −D ₀ >β, the user may be advised to give up using The target path, while the selected path D ₀ moves to the destination.

S103: Determine whether the user of the mobile sensing device moves by using the target path.

S104: If yes, receive and process the first target data to be received on the target path, and use the wireless access point when the user of the mobile sensing device moves within the wireless range of the wireless access point The entry point sends the second target data to be uploaded in the mobile sensing device to the server node.

Wherein, the first target data includes: the data to be sensed on the target path and the data to be forwarded by other mobile sensing devices on the target path; the second target data includes: the mobile sensing device itself sensor data and forwarded data from other mobile sensor devices.

After displaying the calculated target route and giving corresponding suggestions, it may continue to determine whether the user finally chooses to use the target route to go to the destination.

If so, during the user's movement, mobile sensing devices such as smart phones and vehicle-mounted sensor devices as mobile sensing nodes collect and receive the sensing data on the target path in real time. Receive forwarding data from other mobile sensor nodes on the target path, and forward it to other mobile sensor nodes on the target path when necessary (for example, the amount of currently stored sensing data/forwarding data reaches the set threshold) data.

That is, as a mobile sensor node, the mobile sensor device of the user uses the opportunistic network formed by it and other mobile sensor nodes on the mobile path to send data to other mobile sensor nodes or receive forwarded data from other mobile sensor nodes .

When the user's mobile sensing device as a mobile sensor node moves to the wireless range of the Wi-Fi hotspot on the target path, the node delivers its stored sensing data/forwarded data through the Wi-Fi hotspot To the server node in the network, so as to realize the upload of sensing data/forwarding data.

If the user does not finally adopt the target path with a Wi-Fi hotspot, that is, the moving path adopted by the user does not include a Wi-Fi hotspot, then the user's mobile sensing device collects the sensing data in the current moving path in real time, and similarly Use the predetermined data sending and receiving strategy to forward the required data with other mobile sensing devices in the path.

In order to encourage users carrying mobile sensing devices to pass through Wi-Fi hotspots as much as possible, the H-SPMBM mobile model in this embodiment provides an incentive mechanism. Specifically, since the purpose of the crowd sensing application is to provide users with diversified service, under the condition that enjoying the service does not harm their own interests, users should also undertake certain obligations to participate in providing information. Based on this, this embodiment defines an incentive parameter reward. Initially, a certain reward value is assigned to each user. When Users are rewarded with a certain reward value when participating in information provision through Wi-Fi hotspots, and a certain reward value is consumed when users use the services provided by crowd sensing, and only when they have enough reward value can users enjoy the system The provided service thus, through a balance of obligation and power, can incentivize participants to pass Wi-Fi hotspots during the movement process.

It can be seen from the above scheme that in the data transmission method disclosed in this application, the user receives and processes the first target data to be received on the moving path through his mobile sensing device, and when moving to the wireless range of the wireless access point , using the wireless access point to send the data to be uploaded stored in the mobile sensing device to the server node. It can be seen that when this application is applied, the user's mobile sensing device can exchange data between mobile sensing devices, transmission, and when moving to the corresponding wireless access point (such as WiFi hotspot, etc.), the wireless access point can be used to deliver data to the server node, thus, this application realizes a data transmission scheme based on free opportunistic network , which can effectively enhance the enthusiasm of users to participate in information provision, thereby improving the application quality of mobile crowd sensing.

Embodiment two

The data collected in crowd sensing, that is, the data collected by using the mobile sensor network provided in the first embodiment may contain sensitive information such as the location, time, and personal identity of the information provider. When such information is transmitted to other mobile sensor The privacy of the information provider may be exposed when the node is connected, which poses a serious threat to the security and privacy of the information provider.

In order to solve this problem, this embodiment proposes an information transmission mechanism that integrates weak security network coding into the routing policy, so as to protect the privacy of the information provider during the process of crowd sensing information transmission.

Based on this, in this embodiment, referring to the flow chart of the data transmission method shown in FIG. 2, the step S104 can be specifically implemented through the following steps:

S201: Receive the first target data on the target path when a preset condition is met; wherein, the preset condition is: the encoding vector of the first target data is nonlinear to the coefficient matrix of the second contemporary information correlation, wherein the second contemporaneous information is information of the same generation as the first target data stored in the mobile sensing device;

S202: Perform predetermined network coding processing on the first target data to obtain corresponding coded data, and store the coded data;

S203: When the user of the mobile sensing device moves within the wireless range of the wireless access point, use the wireless access point to send the second target data to be uploaded in the mobile sensing device to a server node .

Among them, the information of the same generation refers to the information that can participate in the encoding of each other, that is to say, only the information in the same generation can be encoded with each other. In this embodiment, the mobile sensor node specifically adopts the random linear network coding method to realize the sensing of the received The data/forwarded data is encoded with weak security network to hide the original information and ensure the security of user sensitive information.

This embodiment specifically provides the following weak security network coding process:

1) Mobile sensor nodes receive and cache data based on the defined information receiving model and cache strategy.

Among them, the defined information receiving model of mobile sensor node u receiving message m is as follows:

For node u∈V, assume that u is currently sensing or receiving information m=(α ₁ ,α ₂ ,…,a _n )(x ₁ ,x ₂ ,…,x _n ) ^T.

Among them, (x ₁ , x ₂ ,…,x _n ) is the set of information of the same generation in m, write X=(x ₁ ,x ₂ ,…,x _n ) ^T , (α ₁ ,α ₂ ,…,a _n ) is the encoding vector, denoted as A ₀ , then m=A ₀ X, at this time, the information packet stored in u and m in the same generation is denoted as M, Its i-th line is the i-th information packet, denoted as M _i , the message set contained in each information packet is the information sensed or forwarded by the participant at any time, and the coefficient matrix of M is denoted as A, then M=AX. Now connect A and A ₀ into a new matrix, denoted as

On this basis, the following caching strategy is set: when the encoding vector in m is linearly related to the coefficient matrix A in M, since the rank of A△Rank(A△)≠t+1, m is useless for the final decoding, Thus node u refuses to receive m; otherwise, if the encoded vector in m is nonlinearly related to the coefficient matrix A in M, node u receives and caches m.

2) The mobile sensor node encodes the received message.

Specifically, divide M into two sets M={C, D}, record C _i as the i-th information in C, and record the number of information in C as |C|, and the number of information in D as |D|. Put the encoded information in M into C, and put the unencoded information into D. At this time, if Then store m in u, conversely, if According to whether m is generated by u sensor or not, there are two situations for discussion:

<1> For the situation where the information m is generated by the sensing of the sensor node u, if Then store D, m, and C _i in a new set H each time, and then use the coding function Code(H) to perform random linear network coding on H, record the number of elements in C as |C|, then pass |C |time encoding, you can get |C| pieces of new information; if Then merge D and m into H, and then use the encoding function Code(H) to encode, encode |D| times in total, and get |D| messages.

<2> For the case where m is the forwarding information of sensor node u, if Then merge D and m into H, and then use the encoding function Code(H) to encode, encode |D| times in total, and get |D| messages. like Store m and C _i in a new set H each time, and then use the coding function Code(H) to perform random linear network coding, record the number of elements in C as |C|, then pass |C| times of coding, you can Get |C| new messages.

Finally, the original information in M is deleted, and the encoded information is saved in u.

Among them, the encoding algorithm corresponding to the encoding function Code(H) is specifically:

Code(H) is a linear combination of information using random linear network coding in a finite field, and all operations are completed in F _q (F _q represents a finite field). like

Then when performing random linear network coding, l coefficients k ₁ ,k ₂ ,…,k _l are randomly taken out from the finite field, and the information packet obtained after encoding is

The information transmission mechanism based on weak security network coding proposed in this embodiment integrates network coding into the routing protocol, realizes the protection of privacy in the process of information transmission with less calculation consumption, and improves the efficiency of information transmission Success rate.

Embodiment Three

Embodiment 3 of the present invention discloses a mobile sensor node, which has the mobility synchronized with the moving user. The node can be a mobile sensor device with good perception and wireless communication capabilities, such as a smart phone and a vehicle-mounted sensor device. , referring to the schematic structural diagram of the mobile sensor node shown in Figure 2, the node specifically includes:

The location acquisition module 100 is configured to acquire the source location and the destination location of the user.

The path determination module 200 is configured to determine a target path between the source location and the destination location, and display the target path; the target path includes a wireless access point.

A judging module 300, configured to judge whether the user uses the target path to move.

The data transmission processing module 400 is configured to receive and process the first target data to be received on the target path when the judgment result is yes, and when the user moves to the wireless range of the wireless access point, use the The wireless access point sends the second target data to be uploaded in the mobile sensor node to the server node.

Wherein, referring to FIG. 4 , the data transmission processing module 400 specifically includes a data receiving unit 401 and a data encoding unit 402 .

The data receiving unit 401 is configured to receive the first target data on the target path when a preset condition is met; wherein, the preset condition is: the encoding vector of the first target data and the second generation information The coefficient matrix is non-linearly correlated, wherein, the second generation information is information of the same generation as the first target data stored in the mobile sensing device;

The data encoding unit 402 is configured to perform predetermined network encoding processing on the first target data to obtain corresponding encoded data, and store the encoded data.

For the mobile sensor node disclosed in Embodiment 3 of the present invention, since it corresponds to the data transmission method disclosed in Embodiment 1 and Embodiment 2, the description is relatively simple. For related similarities, please refer to Embodiment 1 and Implementation The description of the data transmission method in Example 2 is sufficient, and will not be described in detail here.

Embodiment Four

Embodiment 4 of the present invention discloses a data transmission system. The system includes a wireless access point, a server node, and a mobile sensor node as described in Embodiment 3, wherein the mobile sensor node uses the wireless access Click to upload data to the server node.

The wireless access point is specifically a Wi-Fi hotspot.

The data transmission system is specifically a system composed of various types of nodes based on the mobile sensor network in Embodiment 1. The system may include one or more mobile sensor nodes, Wi-Fi nodes, and server nodes. Mobile sensor nodes can use the data transmission scheme and network coding scheme disclosed in Embodiment 1 and Embodiment 2 to perform data transmission and network coding, so that in an opportunistic network composed of multiple mobile sensor nodes, between mobile sensor nodes During data interaction, the received data can be network encoded to protect the user privacy contained in the received data.

In this system, only the server node can decode the data delivered by the mobile sensor node. Next, the decoding process of the server node is described.

The decoding steps of server node f are as follows:

Specifically, the server node f decodes through the Gaussian elimination method, and the information can be restored to the original data after decoding. For the same generation of data packets X=(x ₁ ,x ₂ ,…,x _n ), if the data received by f Pack for

$\left\{\begin{array}{c}{\mathrm{<span\; class="notranslate">\; z</span>}}^{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}^{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}^{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span><span\; class="notranslate">\; ...</span><span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}^{\mathrm{<span\; class="notranslate">\; 1</span>}}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}\\ {\mathrm{<span\; class="notranslate">\; z</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span><span\; class="notranslate">\; ...</span><span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}^{\mathrm{<span\; class="notranslate">\; 2</span>}}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}\\ \mathrm{<span\; class="notranslate">\; ...</span>}\\ {\mathrm{<span\; class="notranslate">\; z</span>}}^{\mathrm{<span\; class="notranslate">\; the\; s</span>}}<span\; class="notranslate">\; =</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}^{\mathrm{<span\; class="notranslate">\; the\; s</span>}}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}^{\mathrm{<span\; class="notranslate">\; the\; s</span>}}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; +</span><span\; class="notranslate">\; ...</span><span\; class="notranslate">\; +</span>{\mathrm{<span\; class="notranslate">\; \&alpha;</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}^{\mathrm{<span\; class="notranslate">\; the\; s</span>}}{\mathrm{<span\; class="notranslate">\; x</span>}}_{\mathrm{<span\; class="notranslate">\; no</span>}}\end{array}\right.$

make Its coefficient matrix is recorded as A, then Z=AX.

Assume that the message m received by the server node f has been processed by the cache policy, and only consider the information packets of the same generation as m in f. First, the information decoded by m and f and the undecoded message in f are added to Z, and the information decoded by f is marked. Z=AX, then perform Gaussian elimination on Z to get Z'=A'X, for each row vector A' _i of A', when x _j is not solved, if A' _ij =1 and Then the information x _j can be solved, x _j =Z' _i .

After decoding, the server node can obtain readable data information, and subsequent server nodes can analyze and process the decoded data and make decisions.

It should be noted that each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. For the same and similar parts in each embodiment, refer to each other, that is, Can.

For the convenience of description, when describing the above system or device, functions are divided into various modules or units and described separately. Of course, when implementing the present application, the functions of each unit can be implemented in one or more pieces of software and/or hardware.

It can be known from the above description of the implementation manners that those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general-purpose hardware platform. Based on this understanding, the essence of the technical solution of this application or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products can be stored in storage media, such as ROM/RAM, disk , CD, etc., including several instructions to make a computer device (which may be a personal computer, server, or network device, etc.) execute the methods described in various embodiments or some parts of the embodiments of the present application.

Finally, it should also be noted that in this text, relational terms such as first, second, third, and fourth, etc. are only used to distinguish one entity or operation from another entity or operation, and not Any such actual relationship or order between these entities or operations is necessarily required or implied. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

The above is only a preferred embodiment of the present invention, it should be pointed out that, for those of ordinary skill in the art, without departing from the principle of the present invention, some improvements and modifications can also be made, and these improvements and modifications can also be made. It should be regarded as the protection scope of the present invention.

Claims (10)

1. A data transmission method, characterized in that, comprising: Obtain the source location and destination location of the user of the mobile sensing device; determining a target path between the source location and the destination location, and displaying the target path; the target path includes a wireless access point; judging whether the user of the mobile sensing device moves using the target path; If so, receiving and processing the first target data to be received on the target path, and using the wireless access point when the user of the mobile sensing device moves within the wireless range of the wireless access point Sending the second target data to be uploaded in the mobile sensing device to the server node. 2. The method according to claim 1, wherein the target path is: the shortest path between the source location and the destination location including a wireless access point. 3. The method according to claim 2, wherein the first target data comprises: data to be sensed on the target path and data to be forwarded by other mobile sensing devices on the target path; The second target data includes: the sensing data of the mobile sensing device itself and forwarded data from other mobile sensing devices. 4. The method according to claim 3, wherein the first target data includes encoding vectors and first contemporaneous information, and then the receiving and processing the first target data to be received on the target path include: When the preset condition is met, receiving the first target data on the target path; wherein the preset condition is: the encoding vector of the first target data is nonlinearly related to the coefficient matrix of the second contemporary information, Wherein, the second contemporaneous information is information stored in the mobile sensing device in the same generation as the first target data; Predetermined network coding processing is performed on the first target data to obtain corresponding coded data, and the coded data is stored. 5. The method according to claim 4, wherein the network coding process is random linear network coding. 6. A mobile sensor node, characterized in that it has the mobility synchronized with the mobile user, and the node comprises: A location acquisition module, configured to acquire the user's source location and destination location; a path determination module, configured to determine a target path between the source location and the destination location, and display the target path; the target path includes a wireless access point; A judging module, configured to judge whether the user uses the target path to move; A data transmission processing module, configured to receive and process the first target data to be received on the target path when the judgment result is yes, and when the user moves to the wireless range of the wireless access point, use the The wireless access point sends the second target data to be uploaded in the mobile sensor node to the server node. 7. The mobile sensor node according to claim 6, wherein the first target data includes encoding vectors and first generation information, and then the data transmission processing module includes: A data receiving unit, configured to receive the first target data on the target path when a preset condition is met; wherein, the preset condition is: the coding vector of the first target data and the code vector of the second contemporary information The coefficient matrix is non-linearly correlated, wherein the second contemporaneous information is information of the same generation as the first target data stored in the mobile sensing device; The data encoding unit is configured to perform predetermined network encoding processing on the first target data to obtain corresponding encoded data, and store the encoded data. 8. A data transmission system, comprising a wireless access point, a server node, and a mobile sensor node according to any one of claims 6-7, wherein: The mobile sensor node uploads data to the server node through the wireless access point. 9. The system according to claim 8, wherein the data uploaded by the mobile sensor node is: coded data processed by preset network coding, and the server node is used for: Decoding the coded data to obtain readable sensing data; performing required analysis and decision-making on the readable sensing data. 10. The system according to claim 8, wherein the wireless access point is a Wi-Fi hotspot.