Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (6): 1466-1476.doi: 10.13229/j.cnki.jdxbgxb20210021

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Nodes scheduling algorithm based on dynamic cluster in wireless sensor network

Qiang GUO(),Yu-qiang CUI,Yong WANG   

  1. College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China
  • Received:2021-01-11 Online:2022-06-01 Published:2022-06-02

Abstract:

To make a reasonable cooperation mode between nodes, reduce the activation time of nodes, balance the energy consumption between nodes and prolong the network lifetime while ensuring the target tracking accuracy, a nodes scheduling algorithm is formed based on the residual energy and PCRLB information of nodes in the target tracking system of wireless sensor network. First, the proposed algorithm uses particle filter to predict the position of the target at the next time. Based on the predicted position and the prediction covariance matrix, the ellipse area of the target at the next time is determined, and then the candidate nodes region at the next time is determined. Then,in the candidate nodes region, based on the information of PCRLB and the residual energy of nodes, several sensor nodes are selected to form a cluster to track the target. Simulation results show that the proposed algorithm can not only reduce the tracking error, but also balance the energy consumption of nodes and prolong the network lifetime.

Key words: communication technology, wireless sensor network(WSN), target tracking, nodes scheduling, residual energy, posterior Carmér-rao lower bound

CLC Number: 

  • TN915

Fig.1

Radio energy model"

Fig.2

Node in dynamic cluster can not perceive target"

Fig.3

Error ellipse"

Fig.4

Region of candidate nodes"

Fig.5

Simulation result of nodes dynamic clustering"

Fig.6

Comparison of energy consumption"

Fig.7

Comparison of the number of dead nodes"

Fig.8

Comparison of tracking error"

Table 1

Performance comparison of different algorithms with different number of nodes"

节点数算法首个节点消亡时间生存期跟踪误差
500EWPCRLB5245420.5644
AASA4414800.5989
PBCA4344680.5965
600EWPCRLB5355600.5603
AASA4715110.5889
PBCA4645060.5856
700EWPCRLB5635770.5516
AASA4925290.5802
PBCA4765140.5749
800EWPCRLB6186200.5503
AASA5155640.5778
PBCA5055640.5716
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