Sensor Node Deployment in Wireless Sensor Networks based on Ionic Bond-Directed Particle Swarm Optimization

Authors

Haiping Huang, College of Computer, Nanjing University of Posts and Telecommunications, 210003, Nanjing, China\\ Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, 210003, Nanjing, China\\ Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education, Nanjing University of Posts and Telecommunications, 210003, Nanjing, ChinaFollow

Author Country (or Countries)

China

Abstract

Sensor node deployment is one of the critical topics addressed in wireless sensor networks (WSNs) research, which determines coverage efficiency of WSNs. This paper proposes a self-organizing algorithm for enhancing the coverage for WSNs, which is so-called Ionic bond-directed particle swarm optimization (IBPSO). The proposed algorithm combines the ionic bond method with particle swarm optimization (PSO), where ionic bond method uses a judicious ionic bond between two sensor nodes to determine which node needs to move and also the path and direction of the movement and PSO is suitable for solving multi-dimension function optimization in continuous space. Simulation results demonstrate that IBPSO has more satisfactory performance on regional convergence and global searching than PSO algorithm and can implement dynamic deployment of WSNs more efficiently and rapidly.

Suggested Reviewers

N/A

Digital Object Identifier (DOI)

http://dx.doi.org/10.12785/amis/080217

Recommended Citation

Huang, Haiping (2014) "Sensor Node Deployment in Wireless Sensor Networks based on Ionic Bond-Directed Particle Swarm Optimization," Applied Mathematics & Information Sciences: Vol. 08: Iss. 2, Article 17.
DOI: http://dx.doi.org/10.12785/amis/080217
Available at: https://digitalcommons.aaru.edu.jo/amis/vol08/iss2/17