CN114339935B - Wireless energy supply communication network data transmission method based on K-Means - Google Patents
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Abstract
The invention discloses a wireless energy supply communication network data transmission method based on K-Means, in the control stage, 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, the state of the data receiving point and the energy source is determined, the node sends control information containing self energy value to the data receiving point, the data receiving point carries out clustering treatment, the cluster center value of each cluster is initialized, the node calculates the difference value between the self energy value and all the cluster center values in the receiving range of the data receiving point, and adds the cluster with the minimum absolute value of the difference value, randomly selects one node from the clusters with the highest cluster center value, and the data receiving point sends control feedback information to the selected node. In the data transmission stage, the node receiving the control feedback information and the data receiving point perform data transmission. 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
Technical Field
The application belongs to the technical field of wireless transmission, and particularly relates to a data transmission method of a wireless energy supply communication network based on K-Means, which is a communication design among nodes in the wireless energy supply communication network and mainly comprises wireless energy capture and wireless data transmission.
Background
Currently, a wireless power communication network (Wireless Poweres Communication Network, WPCN) generally adopts a Harvest-then-transmission (HTT) mode, a node captures energy first and stores the captured energy, and when the node has a communication requirement and the energy is sufficient, the node uses the captured energy to perform data transmission. In wireless powered communication networks, energy conservation is an important issue to consider, as employing an energy-efficient data transmission scheme can extend the operating time of the node. In addition, the number of transmission nodes to be selected is increased in data transmission, so that the possibility of transmission failure due to sudden failure of the nodes is reduced, namely the possibility of successful data transmission is improved.
Based on the wireless energy supply communication condition in practical application, the data communication is performed by adopting an effective energy-saving method, which is very significant. The ability of a wireless powered communication network to still successfully perform data transmission in the event of a node having a sudden failure is referred to as the robustness of the wireless powered communication network. How nodes perform wireless energy capture and wireless data transmission to improve the robustness of wireless powered communication networks has not been well studied.
Disclosure of Invention
The purpose of the application is to provide a data transmission method of a wireless energy supply communication network based on K-Means, so that the wireless energy supply communication network can still successfully perform data transmission under the condition that a node has sudden faults.
In order to achieve the above purpose, the technical scheme of the application is as follows:
a wireless energy supply communication network data transmission method based on K-Means, the wireless energy supply communication network including nodes, data receiving points and energy sources, the wireless energy supply communication network data transmission method based on K-Means comprising:
in the control phase:
determining states of the data receiving points and the energy sources according to the energy values of the nodes in the data receiving range and the distances between the data receiving points and the energy sources;
the method comprises the steps that in a data receiving point receiving range, a node with an energy value larger than or equal to an energy threshold value sends control information containing an energy value to the data receiving point, the data receiving point performs clustering processing, and a cluster center value of each cluster is initialized;
respectively calculating the difference value between the self energy value and all cluster center values at the nodes with the energy value larger than or equal to the energy threshold value in the receiving range of the data receiving points, and adding the cluster with the smallest absolute value of the difference value;
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 stage:
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 points are smaller than the energy threshold value, the data receiving points are in a dormant state, and the energy source is in a working state;
if the energy value of the node is larger than or equal to the energy threshold value in the receiving range of the data receiving point, the data receiving point is in a working state when the distance between the data receiving point and the energy source is not larger than the first distance threshold value, the energy source is in a dormant state, 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 a working state, energy capturing is performed on nodes, except for the nodes performing data transmission, the distance between the nodes and the energy source is not greater than a first distance threshold.
Further, in the control stage, the node with the energy value larger 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 a working state, nodes, except for the nodes for data transmission, with the distance from the energy source being greater than a first distance threshold value are dormant.
Further, in the data transmission stage, if the energy source is in a dormant state, nodes except for the nodes for data transmission are dormant.
Further, the node in the receiving range of the data receiving point and having the energy value greater than or equal to the energy threshold value sends control information including the energy value to the data receiving point, the data receiving point performs clustering processing to update the cluster center value of each cluster, and the method includes:
step F1, taking the energy value of the node with the highest energy value as a first cluster center value, and taking the energy value as a current cluster center value to carry out the next iteration;
f2, subtracting a parameter for adjusting the energy value range of the node in the single cluster from the current cluster core value to obtain a next cluster core expected value;
and F3, searching whether a node with the energy value not larger than the expected value of the next cluster core exists, if so, taking the energy value of the node with the highest energy value as the next cluster core value and the current cluster core value, returning to the step F2, and continuing iteration until the expected value of the next cluster core is smaller than a preset clustering threshold value and ending.
Further, the node in the receiving range of the data receiving point and having the energy value greater than or equal to the energy threshold calculates the difference between the energy value of the node and all cluster center values, and adds the cluster with the smallest absolute value of the difference, and the method further includes:
taking the average value of the node energy values in each cluster as a new cluster core value, returning to calculate the difference value between the energy values and all the cluster core values again, adding the cluster with the smallest absolute value of the difference value, and continuously and iteratively updating the cluster core value until the cluster core value is not changed.
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 states and the number of nodes in the wireless energy supply communication network, and the number of nodes for transmitting control information to a data receiving point is reduced, so that the purpose of reducing the time consumption in a control stage is achieved; the method can set a proper value of s according to the requirements of the wireless energy supply communication network on the robustness and the throughput, and finally achieves 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.
Drawings
FIG. 1 is a schematic diagram of a wireless energy supply communication network structure of the present application;
FIG. 2 is a schematic diagram of a single slot of the present application;
FIG. 3 is a flow chart of a data transmission method of the wireless energy supply communication network based on K-Means;
fig. 4 is a flowchart of an embodiment of a data transmission method of the wireless power supply communication network of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In order to effectively utilize node energy to perform data transmission and reduce transmission failure probability caused by burst faults of a single node, the application provides a data transmission method of a wireless energy supply communication network based on K-Means, and robustness of the wireless energy supply communication network is considered. Wherein d is due to communication reasons such as channel gain d Indicating the furthest distance a node can communicate with a data receiving point, d e Representing the furthest distance a node can capture energy from an energy source, e represents the energy value of the node, s represents a parameter in K-Means that adjusts the range of energy values of nodes within a single cluster upon initialization of the cluster center. The method and the device are used for wireless energy capture and wireless data transmission in a wireless energy supply communication network, and the emphasis is that the node capable of carrying out data transmission is selected according to the energy value of the node, and then one node is randomly selected from the node to carry out data transmission. The states of the data receiving points and the energy sources are determined by the positional relationship of the data receiving points and the energy sources and the energy value of the node which is not more than the farthest distance from the data receiving points. The energy can be captured at the node which is not more than the furthest distance from the energy source and can receive signals from the energy source, and only one point can transmit data after the node which is not more than the furthest distance from the data receiving point passes through the algorithm. The method and the device can cope with sudden faults of a single node, and achieve the aims 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 environmentThe wireless energy supply communication network comprises nodes, data receiving points and energy sources, wherein 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 acquired by the node, and the energy source transmits a radio frequency signal to enable the node to capture energy. The data receiving points are present in FIG. 1 at a distance from the energy source of no greater than d e The distance between the data receiving point and the energy source is larger than d e In both cases, the technical scheme is applicable to both cases.
As shown in fig. 2, the present application divides a single time slot into two phases of a control phase (duration τc) in which a node transmits control information to a data receiving point, receives control feedback information of the data receiving point, and a data transmission phase (duration τt) in which the node transmits data to the data receiving point or captures energy from an energy source. The control phase duration τc decreases with increasing energy threshold, and may be set to a suitable energy threshold based on the energy status and number of nodes in the wireless powered communication network.
In one embodiment, as shown in fig. 3, there is provided a data transmission method of a wireless energy supply communication network based on K-Means, the wireless energy supply communication network including nodes, data receiving points and energy sources, the data transmission method of the wireless energy supply communication network based on K-Means comprising:
in the control stage, determining states of the data receiving points and the energy sources according to the energy values of the nodes in the data receiving range and the distances between the data receiving points and the energy sources;
the method comprises the steps that in a data receiving point receiving range, a node with an energy value larger than or equal to an energy threshold value sends control information containing an energy value to the data receiving point, the data receiving point performs clustering processing, and a cluster center value of each cluster is initialized;
respectively calculating the difference value between the self energy value and all cluster center values at the nodes with the energy value larger than or equal to the energy threshold value in the receiving range of the data receiving points, and adding the cluster with the smallest absolute value of the difference value;
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 stage, the node receiving the control feedback information and the data receiving point perform data transmission.
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 points are smaller than the energy threshold, the data receiving points are in a dormant state, and the energy sources are in a working state;
if the energy value of the node is larger than or equal to the energy threshold value in the receiving range of the data receiving point, the data receiving point is in a working state when the distance between the data receiving point and the energy source is not larger than the first distance threshold value, the energy source is in a dormant state, 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 d d Is considered as a node within the reception range of the data reception point. And a proper energy threshold value is preset, and when the energy values of the nodes in the receiving range of the data receiving point are smaller than the energy threshold value, the data are not suitable for transmitting data, so that the data receiving point is in a dormant state, and the energy source is in a working state, so that the energy is conveniently supplied to the nodes in the subsequent data transmission stage.
If the energy value of the node is larger than or equal to the energy threshold value, the data transmission can be considered, and the state of the data receiving point and the energy source is determined at the moment, so that 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 greater than a first distance threshold d e When the data receiving point is in a working state, the energy source is in a dormant state, and the energy source is set to be in the dormant state so that the data receiving point and the energy source are not interfered, and the data receiving point is in the working state to receive data. At the position ofThe distance between the data receiving point and the energy source is greater than a first distance threshold d e When the data receiving point and the energy source are in working states, the data receiving point and the energy source can receive data in the subsequent data transmission stage conveniently, and the energy source supplies energy.
The distance from the data receiving point is not more than d d And (3) screening out nodes with energy values not smaller than a given energy threshold value from the nodes (nodes in the receiving range of the data receiving points), and clustering the nodes.
In a specific embodiment, the node in the receiving range of the data receiving point and having an energy value greater than or equal to the energy threshold sends control information including an energy value of the node to the data receiving point, the data receiving point performs clustering processing, and initializes a cluster center value of each cluster, including:
step F1, taking the energy value of the node with the highest energy value as a first cluster center value, and taking the energy value as a current cluster center value to carry out the next iteration;
f2, subtracting a parameter for adjusting the energy value range of the node in the single cluster from the current cluster core value to obtain a next cluster core expected value;
and F3, searching whether a node with the energy value not larger than the expected value of the next cluster core exists, if so, taking the energy value of the node with the highest energy value as the next cluster core value and the current cluster core value, returning to the step F2, and continuing iteration until the expected value of the next cluster core is smaller than a preset clustering threshold value and ending.
After the cluster center values of all the clusters are determined, respectively calculating the difference values between the self energy value and all the cluster center values at the nodes with the energy values larger than or equal to the energy threshold value in the receiving range of the data receiving points, and adding the cluster with the smallest absolute value of the difference value, thereby completing the clustering.
The application traverses that the distance between the data receiving points and the data receiving points is not more than d d And dividing the nodes into clusters whose energy values are closest to cluster center values. It should be noted that there are some more mature techniques related to clustering in the prior art, and the present application is not limited to the specific method of clustering described above.
In a specific embodiment, the nodes in the receiving range of the data receiving point and having the energy value greater than or equal to the energy threshold respectively calculate the difference between the self energy value and all cluster center values, and add the cluster with the smallest absolute value of the difference, and further include:
taking the average value of the node energy values in each cluster as a new cluster core value, returning to calculate the difference value between the energy values and all the cluster core values again, adding the cluster with the smallest absolute value of the difference value, and continuously and iteratively updating the cluster core value until the cluster core value is not changed.
The embodiment continuously and iteratively updates the cluster center value, so that the cluster is more accurate.
After the clustering is completed, 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 so as to determine the selected node, and in the data transmission stage, the node and the data receiving point perform data transmission.
It should be noted that, the parameter s in the K-Means, which adjusts the range of the node energy values in a single cluster during the initialization of the cluster center, is an important factor affecting the final clustering result, the robustness increases with the increase of s, the throughput decreases with the increase of s, and the appropriate value of s can be selected according to the requirements of the wireless energy supply communication network for the robustness and throughput, which is not described here again.
In a specific embodiment, as shown in fig. 4, a data transmission method of a wireless energy supply communication network based on K-Means includes:
step 1: the control phase starts, if the distance from the node which is already arranged in the wireless energy supply communication network to the data receiving point is not more than d d The nodes of the node (C) have energy values smaller than the threshold value, and the step 2 is skipped, otherwise, the step 4 is skipped.
Step 2: the data receiving point is in a dormant state, the energy source is in a working state, and the control phase is finished.
Step 3: the data transmission stage begins and the distance from the energy source is not more than d e Is energy captured, and jumps to step 14.
Step 4: if the data is received from a point and an energy sourceDistance is not greater than d e The data receiving point is in a working state, the energy source is in a dormant state, and if the distance between the data receiving point and the energy source is greater than d e The data receiving point and the energy source are both in an operating state.
The following steps are not particularly described, and only the distance from the data receiving point is considered to be not more than d d Is a node of (a).
Step 5: the node sends control information containing self energy value to the data receiving point, the data receiving point takes the energy value e of the node with the highest energy value as the first cluster center value.
Step 6: update the value of e: e=e-s.
Step 7: if there is a node with energy value e and e is not less than the clustering threshold, let e be the next cluster center value and jump to step 6, otherwise jump to step 8.
Step 8: 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, the step 6 is skipped, otherwise, the cluster heart initialization is completed, and the step 9 is skipped.
Step 9: and each node calculates the difference value between the self energy value and all cluster center values respectively, and selects the cluster center with the smallest absolute value of the difference value to add into the cluster.
Step 10: 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 the step 11, otherwise, the data receiving point randomly selects one node from the cluster with the highest average energy value of the nodes to send control feedback information, ending the control stage, and jumping to the step 12.
Step 11: 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 transmitting data by using all the energy of the node and the data receiving point by the node which receives the control feedback information.
Step 13: if the energy source is in an operating state, the distance from the energy source except for the nodes for data transmission is not more than d e Energy capture by the node of (a), other nodes are dormantAnd if the energy source is in the dormant state, the nodes except the nodes for data transmission are in the dormant state.
Step 14: the data transfer phase ends.
In this embodiment, after the above steps are finished, the data receiving point and the energy source state are determined, and each node is determined to perform data transmission, energy charging or dormancy.
In a specific embodiment, during the data transmission phase, if the energy source is in an operating state, energy capturing is performed on nodes, except for the nodes performing data transmission, whose distance from the energy source is not greater than a first distance threshold.
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 d e The nodes of the system can capture energy and charge energy.
In a specific embodiment, during the data transmission phase, if the energy source is in an operating state, nodes, except for the nodes performing data transmission, having a distance from the energy source greater than a first distance threshold are dormant.
In this embodiment, the distance from the energy source, except for the node performing the data transmission, is greater than the first distance threshold d e Cannot capture energy, and enters a dormant state.
In a specific embodiment, during the control phase, the node with energy value greater than or equal to the energy threshold sends control information, otherwise dormancy is performed.
In this embodiment, as long as the energy value is greater than or equal to the energy threshold, the node will send control information in the control stage, so that the data receiving point can receive the control information sent by the data receiving point. If the energy value is less than the energy threshold, a sleep state is entered.
In one embodiment, during the data transfer phase, if the energy source is in a dormant state, nodes other than the node performing the data transfer are dormant.
It is easy to understand that when the energy source is dormant, the nodes except the node for data transmission cannot capture energy, and enter the dormant state at this time, so as to save energy consumption.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (8)
1. The wireless energy supply communication network data transmission method based on the K-Means comprises nodes, data receiving points and energy sources, and is characterized by comprising the following steps:
in the control phase:
determining states of the data receiving points and the energy sources according to the energy values of the nodes in the data receiving range and the distances between the data receiving points and the energy sources;
the method comprises the steps that in a data receiving point receiving range, a node with an energy value larger than or equal to an energy threshold value sends control information containing an energy value to the data receiving point, the data receiving point performs clustering processing, and a cluster center value of each cluster is initialized;
respectively calculating the difference value between the self energy value and all cluster center values at the nodes with the energy value larger than or equal to the energy threshold value in the receiving range of the data receiving points, and adding the cluster with the smallest absolute value of the difference value;
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 stage:
and the node receiving the control feedback information performs data transmission with the data receiving point.
2. The method for data transmission in a K-Means based wireless power communication network according to claim 1, wherein 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 comprises:
if the energy values of the nodes in the receiving range of the data receiving points are smaller than the energy threshold value, the data receiving points are in a dormant state, and the energy source is in a working state;
if the energy value of the node is larger than or equal to the energy threshold value in the receiving range of the data receiving point, the data receiving point is in a working state when the distance between the data receiving point and the energy source is not larger than the first distance threshold value, the energy source is in a dormant state, 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 method for data transmission in a K-Means based wireless power supply communication network according to claim 2, wherein in the data transmission stage, if the energy source is in an operating state, energy capturing is performed on nodes apart from the node on which data transmission is performed, the distance between the node and the energy source being not greater than a first distance threshold.
4. The method for data transmission in a K-Means based wireless power communication network according to claim 1, wherein in the control phase, nodes with energy values greater than or equal to an energy threshold send control information, otherwise sleep.
5. A method for data transmission in a K-Means based wireless power communication network according to claim 3, wherein during the data transmission phase, if the energy source is in an active state, nodes having a distance to the energy source greater than a first distance threshold are dormant except for the nodes performing the data transmission.
6. The method of claim 2, wherein during the data transmission phase, nodes other than the node transmitting data are dormant if the energy source is dormant.
7. The method for data transmission in a K-Means based wireless energy supply communication network according to claim 1, wherein the node in the receiving range of the data receiving point and having an energy value greater than or equal to an energy threshold value transmits control information including its own energy value to the data receiving point, the data receiving point performs clustering processing, updates a cluster center value of each cluster, and includes:
step F1, taking the energy value of the node with the highest energy value as a first cluster center value, and taking the energy value as a current cluster center value to carry out the next iteration;
f2, subtracting a parameter for adjusting the energy value range of the node in the single cluster from the current cluster core value to obtain a next cluster core expected value;
and F3, searching whether a node with the energy value not larger than the expected value of the next cluster core exists, if so, taking the energy value of the node with the highest energy value as the next cluster core value and the current cluster core value, returning to the step F2, and continuing iteration until the expected value of the next cluster core is smaller than a preset clustering threshold value and ending.
8. The method for data transmission in a wireless energy-supplying communication network based on K-Means according to claim 1, wherein the nodes in the receiving range of the data receiving point and having energy values greater than or equal to the energy threshold respectively calculate differences between the energy values of the nodes and all cluster center values, and add clusters with the smallest absolute value of the differences, further comprising:
taking the average value of the node energy values in each cluster as a new cluster core value, returning to calculate the difference value between the energy values and all the cluster core values again, adding the cluster with the smallest absolute value of the difference value, and continuously and iteratively updating the cluster core value until the cluster core value is not changed.
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