Paper Info
Title
Adaptive directed evolved NSGA2 based node placement optimization for wireless sensor networks
Abstract
Wireless sensor network (WSN) is a wireless network composed of a large number of static or mobile sensors in a self-organizing and multi-hop manner. In WSN research, node placement is one of the basic problems. In view of the coverage, energy consumption and the distance of node movement, an improved multi-objective optimization algorithm based on NSGA2 is proposed in this paper. The proposed algorithm is used to optimize the node placement of WSN. The proposed algorithm can optimize both the node coverage and lifetime of WSN while also considering the moving distance of nodes, so as to optimize the node placement of WSN. The experiments show that the improved NSGA2 has improvements in both searching performance and convergence speed when solving the node placement problem.
Year
DOI
Venue
2020
10.1007/s11276-020-02279-2
Wireless Networks
Keywords
DocType
Volume
Wireless sensor networks, Node placement, NSGA2, Directed evolution, Adaptive
Journal
26
Issue
ISSN
Citations 
5
1022-0038
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Yijie Zhang101.69
Mandan Liu243.44