Method for combining data collection and energy supply in WRSNs (Wireless Rechargeable Sensor Networks)

A technology of energy supply and joint data, applied in power management, electrical components, transmission systems, etc., to achieve the effect of energy supply balance and burden reduction

Active Publication Date: 2018-01-23
HOHAI UNIV CHANGZHOU
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] (3) Charging delay problem

Method used

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  • Method for combining data collection and energy supply in WRSNs (Wireless Rechargeable Sensor Networks)
  • Method for combining data collection and energy supply in WRSNs (Wireless Rechargeable Sensor Networks)
  • Method for combining data collection and energy supply in WRSNs (Wireless Rechargeable Sensor Networks)

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Experimental program
Comparison scheme
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Embodiment 1

[0068] Such as figure 1 As shown, a method for joint data collection and energy supply in WRSNs, comprising the following steps:

[0069] (1) Determine the communication radius r of the node and the charging radius R of the mobile charger;

[0070] (2) Determine the number C of clusters in the network according to the charging radius R of the mobile charger, use the K-means method to cluster the network, and determine the node that serves as the first round of cluster heads, and the first round of parking in each cluster The point is also the aforementioned cluster head node;

[0071] Wherein, the calculation formula of the number C of the clusters is:

[0072]

[0073] Among them, L is the side length of the monitoring area, R is the charging radius of the mobile charger, and r is the communication radius of the node.

[0074] The method for determining the node serving as the cluster head in the first round is: selecting the node closest to the cluster center in each c...

Embodiment 2

[0120] In the case that the node communication radius is r and the charging range of the charger is R, the network adopts the K-means method to cluster, and the number of clusters is according to the formula: Obtained, the result of clustering is as follows figure 2 shown.

[0121] During the first round of data collection, the cluster head of each cluster is assumed by the node closest to the cluster center. After one round, the cluster head node of each cluster is selected according to the formula:

[0122]

[0123] where E resi (n) is the remaining energy of node n, E aver is the average remaining energy of the nodes in the cluster, d aver is the average distance from the nodes in the cluster to the parking point of the charger, d(n) is the distance from node n to the parking point, and α represents a threshold; after one round, the one with the larger value of C(n) is selected as the cluster head.

[0124] For data collection, a greedy routing and forwarding mecha...

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Abstract

The invention discloses a method for combining data collection and energy supply in WRSNs (Wireless Rechargeable Sensor Networks), and aims to simultaneously take a charging process and a data collecting process into consideration, balance network energy and prolong the life cycle of a network. In conjunction with the charging characteristic of a wireless charger, a K-means clustering algorithm isadopted to partition a network into a plurality of clusters; a greedy data collecting method, the same cluster head selecting mechanism and the same charger parking point selecting mechanism are adopted for each cluster; and position information and energy consumption information of nodes in the cluster are taken into consideration in the cluster head selecting mechanism and the parking point selecting mechanism. Through adoption of the method, data collection and energy supply can be performed effectively.

Description

technical field [0001] The invention belongs to the field of wireless sensor network charging, in particular to a joint data collection and energy supply method in WRSNs. Background technique [0002] WSNs are data-centric networks with the characteristics of large network scale, dynamic network topology changes, limited node energy, data-centricity, and application-related characteristics. There is a major constraint in the development of WSNs: energy limitation. Sensor nodes are generally powered by batteries, and the size of the battery is limited by the size of the sensor nodes, so the energy of the battery is limited. Once the sensor nodes in the network fail due to energy exhaustion, it not only restricts the performance of the nodes in communication, routing, data management and fusion, query processing, etc., but also affects the continuous operation of the entire network. In most cases, especially in large-scale WSNs, it is very difficult or even impossible to rep...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/38H04W52/02H04B5/00
Inventor 韩光洁杨璇刘立王皓
Owner HOHAI UNIV CHANGZHOU
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