Simulation Study of a Coverage Enhancement Scheme in Directional Sensor Network Based on Particle Swarm Algorithm

Authors

Juwei Zhang, 1. Henan University of Science and Technology, Luoyang 471023, China; ;2. Power Electronics Device and System Engineering Laboratory of Henan, Luoyang 471023, China;
Wang Yu, 1. Henan University of Science and Technology, Luoyang 471023, China; ;

Abstract

Abstract: A Dezert-Smarandache theory (DSmT) data fusion scheme was proposed based on the probability sensing model of directional sensor. In order to enhance the coverage ratio of directional sensor network, a sensor node deployment strategy was presented based on particle swarm optimization algorithm. Overlap rate was reduced by iteratively adjusting the sensing direction, which was regarded as fitness function in the algorithm, and the reliability of data was enhanced. The simulation results show that this algorithm has a fast convergence speed for the random deployment of sensor network nodes with continuously adjustable sensing direction, can effectively enhance the utilization rate of network nodes, and improve the coverage rate of the sensor network.

Recommended Citation

Zhang, Juwei and Yu, Wang (2020) "Simulation Study of a Coverage Enhancement Scheme in Directional Sensor Network Based on Particle Swarm Algorithm," Journal of System Simulation: Vol. 29: Iss. 1, Article 24.
DOI: 10.16182/j.issn1004731x.joss.201701024
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss1/24

First Page

181

Revised Date

2016-07-31

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201701024

Last Page

189

CLC

TP393

Recommended Citation

Zhang Juwei, Wang Yu. Simulation Study of a Coverage Enhancement Scheme in Directional Sensor Network Based on Particle Swarm Algorithm[J]. Journal of System Simulation, 2017, 29(1): 181-189.

DOI

10.16182/j.issn1004731x.joss.201701024