Paper Info
Title
Virtual Force and Glowworm Swarm Optimization Based Node Deployment Strategy for WSNs.
Abstract
Wireless Sensor Networks (WSNs) can be viewed as a network with hundreds or thousands of randomly deployed sensors, whose coverage control problem has the characteristics of self-organized groups. This paper studies the coverage optimization strategy based on swarm intelligence for wireless sensor networks. In WSNs, the random deployment of nodes causes the coverage of the blind area and the redundancy of the coverage. We propose a new algorithm based on virtual force and glowworm swarm optimization algorithm. Firstly, the utilization rate of the nodes and the effective coverage of the network are the optimization objectives and the corresponding mathematical model is established. Then, the virtual force algorithm and the glowworm swarm optimization algorithm are used to solve the problem of modeling, and the optimal coverage scheme for WSNs is obtained. Simulation results show that the virtual force and glowworm swarm optimization algorithm can effectively improve the coverage of WSNs nodes, reduce the redundancy of sensor nodes, and reduce the cost of network effectively. Besides, the network survival time can get prolonged.
Year
DOI
Venue
2016
10.1007/978-981-10-3023-9_71
ADVANCES IN COMPUTER SCIENCE AND UBIQUITOUS COMPUTING
Keywords
DocType
Volume
Wireless Sensor Network,Coverage optimization,Glowworm swarm optimization algorithm,Virtual force algorithm
Conference
421
ISSN
Citations 
PageRank 
1876-1100
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
jin wang124336.79
Yiquan Cao2362.29
Jiayi Cao3663.22
Huan Ji401.01
Xiaofeng Yu511.02