CN114339935A - Wireless energy supply communication network data transmission method based on K-Means - Google Patents

Wireless energy supply communication network data transmission method based on K-Means Download PDF

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CN114339935A
CN114339935A CN202111480110.9A CN202111480110A CN114339935A CN 114339935 A CN114339935 A CN 114339935A CN 202111480110 A CN202111480110 A CN 202111480110A CN 114339935 A CN114339935 A CN 114339935A
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energy
value
node
data receiving
receiving point
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CN114339935B (en
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刘晓莹
王奥迪
郑可琛
池凯凯
朱艺华
朱文博
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Zhejiang University of Technology ZJUT
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Zhejiang University of Technology ZJUT
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The invention discloses a wireless energy supply communication network data transmission method based on K-Means, which comprises the steps that in the control stage, the states of a data receiving point and an energy source are determined according to the energy value of a node in the receiving range of the data receiving point and the distance between the data receiving point and the energy source, the node sends control information containing the self energy value to the data receiving point, the data receiving point carries out clustering processing, the cluster center value of each cluster is initialized, the node in the receiving range of the data receiving point calculates the difference value between the self energy value and all the cluster center values, the cluster with the minimum absolute difference value is added, a node is randomly selected from the cluster with the highest cluster center value, and the data receiving point sends control feedback information to the selected node. And in the data transmission stage, the node receiving the control feedback information performs data transmission with the data receiving point. The invention reduces the time consumption in the control stage, and achieves the purposes of saving energy and improving the robustness of the wireless energy supply communication network.

Description

Wireless energy supply communication network data transmission method based on K-Means
Technical Field
The application belongs to the technical field of wireless transmission, and particularly relates to a wireless energy supply communication network data transmission method based on K-Means, which is a communication design between nodes in a wireless energy supply communication network and mainly comprises wireless energy capture and wireless data transmission.
Background
At present, a Wireless Power Communication Network (WPCN) generally adopts a Harvest-then-transmission (HTT) mode, a node captures energy and stores the captured energy, and when the node has a Communication demand and the energy is sufficient, the captured energy is used for data transmission. In wireless powered communication networks, energy saving is an important consideration, as energy saving data transmission schemes can extend the operating time of the nodes. In addition, the number of the transmission nodes which can be selected is increased in data transmission, so that the probability of transmission failure caused by sudden node failure is reduced, namely the probability of successful data transmission is improved.
Based on the wireless energy supply communication condition in practical application, the data communication is carried out by adopting an effective energy-saving method, which is very significant. The capability of the wireless energy-supplying communication network to successfully transmit data under the condition that the nodes have sudden failures is called the robustness of the wireless energy-supplying communication network. How to perform wireless energy capture and wireless data transmission by the nodes to improve the robustness of the wireless energy-supplying communication network has not been well researched.
Disclosure of Invention
The data transmission method of the wireless energy supply communication network based on the K-Means is provided, so that the wireless energy supply communication network can still successfully transmit data under the condition that sudden faults exist in the nodes.
In order to achieve the purpose, the technical scheme of the application is as follows:
a data transmission method of a wireless energy supply communication network based on K-Means, wherein the wireless energy supply communication network comprises nodes, data receiving points and energy sources, and the data transmission method of the wireless energy supply communication network based on K-Means comprises the following steps:
in the control phase:
determining the states of the data receiving points and the energy source according to the energy values of the nodes in the receiving range of the data receiving points and the distance between the data receiving points and the energy source;
the method comprises the steps that a node which is in a receiving range of a data receiving point and has an energy value larger than or equal to an energy threshold value sends control information containing the energy value of the node to the data receiving point, the data receiving point carries out clustering processing, and a cluster center value of each cluster is initialized;
respectively calculating the difference between the energy value of the node and all cluster center values by the nodes with the energy values of the nodes being more than or equal to the energy threshold value within the receiving range of the data receiving point, and adding the cluster with the minimum absolute value of the difference;
randomly selecting a node from the cluster with the highest cluster center value, and sending control feedback information to the selected node by the data receiving point;
in the data transmission phase:
and the node receiving the control feedback information performs data transmission with the data receiving point.
Further, the determining the states of the data receiving point and the energy source according to the energy values of the nodes in the receiving range of the data receiving point includes:
if the energy values of the nodes in the receiving range of the data receiving point are all smaller than the energy threshold value, the data receiving point is in a dormant state, and the energy source is in a working state;
if the energy value of a node is larger than or equal to the energy threshold value within the receiving range of the data receiving point, the data receiving point is in a working state and the energy source is in a dormant state when the distance between the data receiving point and the energy source is not larger than a first distance threshold value, and the data receiving point and the energy source are both in the working state when the distance between the data receiving point and the energy source is larger than the first distance threshold value.
Further, in the data transmission stage, if the energy source is in the working state, except for the node performing data transmission, the node whose distance from the energy source is not greater than the first distance threshold performs energy capture.
Further, in the control stage, the node with the energy value greater than or equal to the energy threshold value sends control information, otherwise, the node sleeps.
Further, in the data transmission stage, if the energy source is in the working state, except for the node performing data transmission, the node whose distance from the energy source is greater than the first distance threshold sleeps.
Further, in the data transmission phase, if the energy source is in the dormant state, the nodes except the node performing data transmission are dormant.
Further, the step of sending control information containing the energy value of the node to the data receiving point by the node within the receiving range of the data receiving point and the energy value of the node being greater than or equal to the energy threshold, and performing clustering processing on the data receiving point to update the cluster center value of each cluster includes:
step F1, the energy value of the node with the highest energy value is taken as the first cluster center value and is taken as the current cluster center value to carry out the next iteration;
f2, subtracting the parameter for adjusting the range of the energy value of the node in a single cluster from the current cluster center value to obtain the expected value of the next cluster center;
and F3, searching whether a node with the energy value not larger than the next cluster center expected value exists, if so, taking the energy value of the node with the highest energy value as the next cluster center value and the current cluster center value, returning to the step F2, and continuing iteration until the next cluster center expected value is smaller than the preset clustering threshold value, and ending.
Further, the step of calculating the difference between the energy value of the node and all cluster center values respectively by the nodes which are in the receiving range of the data receiving point and the energy value of the node is greater than or equal to the energy threshold value, and adding the cluster with the minimum absolute value of the difference, further comprises:
and taking the average value of the energy values of the nodes in each cluster as a new cluster center value, returning to calculate the difference value between the energy value of the node and all the cluster center values again, adding the cluster with the minimum absolute value of the difference value, and continuously and iteratively updating the cluster center value until the cluster center value is not changed any more.
According to the data transmission method of the wireless energy supply communication network based on the K-Means, a reasonable threshold value can be set according to the energy state and the number of the nodes in the wireless energy supply communication network, the number of the nodes sending control information to the data receiving points is reduced, and the purpose of reducing the time consumption in the control stage is achieved; the appropriate value of s can be set according to the requirements of the wireless energy supply communication network on robustness and throughput, and finally, the purposes of saving energy and improving the robustness of the wireless energy supply communication network are achieved at the cost of sacrificing a small amount of throughput.
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FIG. 1 is a schematic diagram of a wireless power communication network according to the present application;
FIG. 2 is a schematic diagram of a single timeslot of the present application;
FIG. 3 is a flow chart of a data transmission method of a wireless energy supply communication network based on K-Means in the application;
fig. 4 is a flowchart of an embodiment of a data transmission method of a wireless power communication network according to the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In order to effectively utilize node energy to carry out data transmission and reduce the transmission failure probability caused by sudden failure of a single node, the application provides a wireless energy supply communication network data transmission method based on K-Means, and the robustness of the wireless energy supply communication network is considered. Wherein d is a channel gain or the likedRepresenting the maximum distance at which the node can communicate with the data receiving point, deThe maximum distance that the node can capture energy from the energy source is represented, e represents the energy value of the node, and s represents a parameter for adjusting the energy value range of the node in a single cluster when the cluster center is initialized in K-Means. The present application will find use in wireless energy capture and wireless in a wirelessly powered communications networkAnd data transmission, wherein the emphasis is to select nodes capable of performing data transmission according to the energy values of the nodes and then randomly select one node from the nodes to perform data transmission. The states of the data receiving point and the energy source are determined by the relation between the data receiving point and the position of the energy source and the energy value of the node which is not more than the farthest distance of communication with the data receiving point. Energy capture can be performed at a node which is not more than the farthest distance from the energy source at which the node can receive signals from the energy source, and only one node which is not more than the farthest distance from the data receiving point can perform data transmission after the algorithm is performed. The method and the device can deal with the sudden failure of a single node, and achieve the purposes of saving energy and improving the robustness of the wireless energy supply communication network at the cost of sacrificing a small amount of throughput.
As shown in fig. 1, in a practical application environment, the wireless energy-supplying communication network includes nodes, data receiving points and energy sources, the nodes collect data and transmit the data to the data receiving points, and the energy sources supply energy. The data receiving point and the energy source keep a certain relative distance to move together in the network, the data receiving point receives data collected by the node, and the energy source transmits a radio frequency signal to enable the node to capture energy. In FIG. 1, the distance between the data receiving point and the energy source is not more than deAnd the distance between the data receiving point and the energy source is more than deThe technical scheme of the application is suitable for the two situations.
As shown in fig. 2, the present application divides a single timeslot into a control phase (duration τ c) in which a node transmits control information to a data receiving point, receives control feedback information from the data receiving point, and a data transmission phase (duration τ t) in which the node transmits data to the data receiving point or captures energy from an energy source. The duration time τ c of the control phase is reduced along with the increase of the energy threshold, and a proper energy threshold can be set according to the energy state and the number of the nodes in the wireless energy supply communication network.
In one embodiment, as shown in fig. 3, there is provided a data transmission method for a wireless energy-supplying communication network based on K-Means, the wireless energy-supplying communication network comprises nodes, data receiving points and energy sources, the data transmission method for the wireless energy-supplying communication network based on K-Means comprises:
in the control stage, the states of the data receiving points and the energy source are determined according to the energy values of the nodes in the receiving range of the data receiving points and the distances between the data receiving points and the energy source;
the method comprises the steps that a node which is in a receiving range of a data receiving point and has an energy value larger than or equal to an energy threshold value sends control information containing the energy value of the node to the data receiving point, the data receiving point carries out clustering processing, and a cluster center value of each cluster is initialized;
respectively calculating the difference between the energy value of the node and all cluster center values by the nodes with the energy values of the nodes being more than or equal to the energy threshold value within the receiving range of the data receiving point, and adding the cluster with the minimum absolute value of the difference;
randomly selecting a node from the cluster with the highest cluster center value, and sending control feedback information to the selected node by the data receiving point;
and in the data transmission stage, the node receiving the control feedback information performs data transmission with the data receiving point.
In this embodiment, first, in the control stage, the states of the data receiving point and the energy source are determined according to the energy value of the node in the receiving range of the data receiving point and the distance between the data receiving point and the energy source.
Specifically, if the energy values of the nodes in the receiving range of the data receiving point are all smaller than the energy threshold, the data receiving point is in a dormant state, and the energy source is in a working state;
if the energy value of a node is larger than or equal to the energy threshold value within the receiving range of the data receiving point, the data receiving point is in a working state and the energy source is in a dormant state when the distance between the data receiving point and the energy source is not larger than a first distance threshold value, and the data receiving point and the energy source are both in the working state when the distance between the data receiving point and the energy source is larger than the first distance threshold value.
The distance between the data receiving point and the data receiving point is not more than ddIs considered to be a node within reception range of the data reception point. And preset a suitable energy thresholdWhen the energy values of the nodes in the receiving range of the data receiving point are all smaller than the energy threshold value, the nodes are not suitable for data transmission, so that the data receiving point is in a dormant state at the moment, and the energy source is in a working state, so that the nodes can be conveniently supplied with energy in the subsequent data transmission stage.
If the energy value of a node is larger than or equal to the energy threshold value, data transmission is considered to be possible, at the moment, the state of the data receiving point and the state of the energy source are determined, and the distance between the data receiving point and the energy source needs to be considered. The distance between the data receiving point and the energy source is not more than a first distance threshold deAnd at the moment, in order to facilitate the data receiving point not to interfere with the energy source, the energy source is set to be in the dormant state, and the data receiving point is in the working state to receive data. The distance between the data receiving point and the energy source is larger than a first distance threshold value deAnd the data receiving points and the energy source are both in working states, so that the data receiving points receive data and the energy source supplies energy in the subsequent data transmission stage.
The distance between the data receiving point and the data receiving point is not more than ddThe nodes (nodes within the receiving range of the data receiving point) are screened out nodes with energy values not less than a given energy threshold value, and the nodes are clustered.
In a specific embodiment, the sending, by a node within the receiving range of a data receiving point and having an energy value of the node greater than or equal to an energy threshold, control information including an energy value of the node to the data receiving point, performing clustering processing on the data receiving point, and initializing a cluster center value of each cluster includes:
step F1, the energy value of the node with the highest energy value is taken as the first cluster center value and is taken as the current cluster center value to carry out the next iteration;
f2, subtracting the parameter for adjusting the range of the energy value of the node in a single cluster from the current cluster center value to obtain the expected value of the next cluster center;
and F3, searching whether a node with the energy value not larger than the next cluster center expected value exists, if so, taking the energy value of the node with the highest energy value as the next cluster center value and the current cluster center value, returning to the step F2, and continuing iteration until the next cluster center expected value is smaller than the preset clustering threshold value, and ending.
After the cluster center value of each cluster is determined, the difference value between the energy value of each node and all the cluster center values is calculated by the nodes in the receiving range of the data receiving point, wherein the energy value of each node is larger than or equal to the energy threshold value, and the cluster with the minimum absolute difference value is added, so that clustering is completed.
The distance between the data receiving points and all the traversal points is not more than ddThe node (b) is divided into clusters having energy values closest to the cluster center value. It should be noted that there are some more mature techniques related to clustering, and the present application is not limited to the specific clustering method.
In a specific embodiment, the calculating, by the node in the receiving range of the data receiving point and having an energy value of the node greater than or equal to the energy threshold, the difference between the energy value of the node and all cluster center values, and adding the cluster with the smallest absolute difference value, further includes:
and taking the average value of the energy values of the nodes in each cluster as a new cluster center value, returning to calculate the difference value between the energy value of the node and all the cluster center values again, adding the cluster with the minimum absolute value of the difference value, and continuously and iteratively updating the cluster center value until the cluster center value is not changed any more.
The cluster center value is continuously updated in an iterative manner, so that clustering is more accurate.
After the clustering is finished, a node is randomly selected from the cluster with the highest cluster center value, the data receiving point sends control feedback information to the selected node so as to determine the selected node, and the node and the data receiving point perform data transmission in a data transmission stage.
It should be noted that the parameter s for adjusting the energy value range of the node in a single cluster during initialization of the cluster center in K-Means is an important factor influencing the final clustering result, robustness increases with the increase of s, throughput decreases with the increase of s, and a proper value of s can be selected according to the requirements of the wireless energy supply communication network on robustness and throughput, which is not described herein again.
In a specific embodiment, as shown in fig. 4, a data transmission method for a wireless power supply communication network based on K-Means includes:
step 1: the control phase is started, and if the distance between the nodes already arranged in the wireless energy supply communication network and the data receiving point is not more than ddThe nodes of (4) have energy values smaller than the threshold value, and jump to the step (2), otherwise, jump to the step (4).
Step 2: the data receiving point is in a dormant state, the energy source is in a working state, and the control stage is finished.
And step 3: the data transmission stage begins, and the distance from the energy source is not more than deThe node(s) perform energy capture and jump to step 14.
And 4, step 4: if the distance between the data receiving point and the energy source is not more than deIf the distance between the data receiving point and the energy source is greater than deThe data receiving point and the energy source are both in working state.
The following steps are not particularly explained, but only the distance from the data receiving point is considered to be not more than ddThe node of (2).
And 5: the node sends control information containing the energy value of the node to the data receiving point, and the data receiving point takes the energy value e of the node with the highest energy value as a first cluster center value.
Step 6: update the value of e: e-s.
And 7: and if the node with the energy value of e exists and the e is not smaller than the clustering threshold value, enabling the e to be the next cluster heart value, and jumping to the step 6, otherwise, jumping to the step 8.
And 8: and if the node with the energy value lower than e exists and the energy value is not smaller than the threshold value, the energy value of the node with the highest energy value lower than e is the next cluster heart value, e is set as the cluster heart value, and the step 6 is skipped, otherwise, the step 9 is skipped after the cluster heart initialization is finished.
And step 9: and each node respectively calculates the difference between the energy value of the node and all the cluster center values, and selects the cluster center with the minimum absolute difference value to join the cluster.
Step 10: and if the cluster center value of each cluster is not equal to the average value of the energy values of all the nodes in the cluster, jumping to step 11, otherwise, randomly selecting a node from the cluster with the highest average energy value of the nodes by the data receiving point to send control feedback information, ending the control stage, and jumping to step 12.
Step 11: and updating the cluster center value of each cluster to be the average value of the energy values of all nodes in the cluster, and jumping to the step 9.
Step 12: and starting a data transmission stage, and carrying out data transmission by the nodes receiving the control feedback information by using all self energy and data receiving points.
Step 13: if the energy source is in a working state, the distance between the energy source and the nodes except the nodes for data transmission is not more than deThe nodes are used for capturing energy, other nodes are in a dormant state, and if the energy source is in the dormant state, the nodes except the nodes used for transmitting data are in the dormant state.
Step 14: the data transfer phase ends.
In this embodiment, after the above steps are completed, the states of the data receiving point and the energy source are determined, the actions of each node are determined, and data transmission, energy charging or dormancy is performed respectively.
In a specific embodiment, in the data transmission phase, if the energy source is in the working state, except for the node performing data transmission, the node whose distance from the energy source is not greater than the first distance threshold performs energy capture.
In this embodiment, when the energy source is in the working state, the distance from the energy source is not greater than the first distance threshold deThe nodes can capture energy and charge energy.
In a specific embodiment, in the data transmission phase, if the energy source is in the working state, except for the node performing data transmission, the node whose distance from the energy source is greater than the first distance threshold sleeps.
In this embodiment, except for the node performing data transmission, the distance from the energy source is greater than the first distance threshold deThe node (2) can not capture energy and enters a dormant state.
In a specific embodiment, in the control phase, the node with the energy value greater than or equal to the energy threshold sends control information, otherwise, the node sleeps.
In this embodiment, the node sends the control information in the control phase as long as the energy value is greater than or equal to the energy threshold, so that the data receiving point can receive the control information sent by the node. If the energy value is less than the energy threshold, then a sleep state is entered.
In a specific embodiment, during the data transmission phase, if the energy source is in the dormant state, the nodes except the node performing the data transmission are dormant.
It is easy to understand that when the energy source is in a sleep state, the nodes except the node performing data transmission cannot perform energy capture, and then the sleep state is entered to save energy consumption.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (8)

1. A data transmission method of a wireless energy supply communication network based on K-Means, the wireless energy supply communication network comprises nodes, data receiving points and energy sources, and the data transmission method of the wireless energy supply communication network based on K-Means comprises the following steps:
in the control phase:
determining the states of the data receiving points and the energy source according to the energy values of the nodes in the receiving range of the data receiving points and the distance between the data receiving points and the energy source;
the method comprises the steps that a node which is in a receiving range of a data receiving point and has an energy value larger than or equal to an energy threshold value sends control information containing the energy value of the node to the data receiving point, the data receiving point carries out clustering processing, and a cluster center value of each cluster is initialized;
respectively calculating the difference between the energy value of the node and all cluster center values by the nodes with the energy values of the nodes being more than or equal to the energy threshold value within the receiving range of the data receiving point, and adding the cluster with the minimum absolute value of the difference;
randomly selecting a node from the cluster with the highest cluster center value, and sending control feedback information to the selected node by the data receiving point;
in the data transmission phase:
and the node receiving the control feedback information performs data transmission with the data receiving point.
2. The method of claim 1, wherein determining the status of the data sink and the energy source based on the energy values of the nodes within the receiving range of the data sink comprises:
if the energy values of the nodes in the receiving range of the data receiving point are all smaller than the energy threshold value, the data receiving point is in a dormant state, and the energy source is in a working state;
if the energy value of a node is larger than or equal to the energy threshold value within the receiving range of the data receiving point, the data receiving point is in a working state and the energy source is in a dormant state when the distance between the data receiving point and the energy source is not larger than a first distance threshold value, and the data receiving point and the energy source are both in the working state when the distance between the data receiving point and the energy source is larger than the first distance threshold value.
3. The data transmission method of the K-Means-based wireless energy supply communication network according to claim 2, wherein in the data transmission stage, if the energy source is in the working state, except the node for data transmission, the nodes which are not more than the first distance threshold value away from the energy source capture energy.
4. The method of claim 1 wherein during the control phase, nodes with energy values greater than or equal to the energy threshold send control messages, and otherwise go to sleep.
5. The data transmission method of the K-Means-based wireless energy supply communication network is characterized in that in the data transmission stage, if the energy source is in the working state, except for the node for data transmission, the nodes which are far away from the energy source and are larger than the first distance threshold are dormant.
6. The data transmission method of the K-Means-based wireless energy supply communication network is characterized in that in the data transmission phase, if the energy source is in a dormant state, nodes except the node for data transmission are dormant.
7. The data transmission method of claim 1, wherein the nodes which are in the receiving range of the data receiving point and have the energy value of the node greater than or equal to the energy threshold value send control information containing their own energy value to the data receiving point, and the data receiving point performs clustering processing to update the cluster center value of each cluster, including:
step F1, the energy value of the node with the highest energy value is taken as the first cluster center value and is taken as the current cluster center value to carry out the next iteration;
f2, subtracting the parameter for adjusting the range of the energy value of the node in a single cluster from the current cluster center value to obtain the expected value of the next cluster center;
and F3, searching whether a node with the energy value not larger than the next cluster center expected value exists, if so, taking the energy value of the node with the highest energy value as the next cluster center value and the current cluster center value, returning to the step F2, and continuing iteration until the next cluster center expected value is smaller than the preset clustering threshold value, and ending.
8. The data transmission method of K-Means-based wireless energy supply communication network of claim 1, wherein the nodes which are in the receiving range of the data receiving point and have the energy value of the node greater than or equal to the energy threshold value respectively calculate the difference value between the self energy value and all the cluster center values, and add the cluster with the smallest absolute difference value, further comprising:
and taking the average value of the energy values of the nodes in each cluster as a new cluster center value, returning to calculate the difference value between the energy value of the node and all the cluster center values again, adding the cluster with the minimum absolute value of the difference value, and continuously and iteratively updating the cluster center value until the cluster center value is not changed any more.
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