Paper Info
Title
An Area Coverage Algorithm For Wireless Sensor Networks Based On Differential Evolution
Abstract
Lifetime requirements and coverage demands are emphasized in wireless sensor networks. An area coverage algorithm based on differential evolution is developed in this study to obtain a given coverage ratio epsilon. The proposed algorithm maximizes the lifetime of wireless sensor networks to monitor the area of interest. To this end, we translate continuous area coverage into classical discrete point coverage, so that the optimization process can be realized by wireless sensor networks. Based on maintaining the epsilon-coverage performance, area coverage algorithm based on differential evolution takes the minimal energy as optimization objective. In area coverage algorithm based on differential evolution, binary differential evolution is redeveloped to search for an improved node subset and thus meet the coverage demand. Taking into account that the results of binary differential evolution are depended on the initial value, the resulting individual is not an absolutely perfect node subset. A compensation strategy is provided to avoid unbalanced energy consumption for the obtained node subset by introducing the positive and negative utility ratios. Under the helps of those ratios and compensation strategy, the resulting node subset can be added additional nodes to remedy insufficient coverage, and redundancy active nodes can be pushed into sleep state. Furthermore, balance and residual energy are considered in area coverage algorithm based on differential evolution, which can expand the scope of population exploration and accelerate convergence. Experimental results show that area coverage algorithm based on differential evolution possesses high energy and computation efficiencies and provides 90% network coverage.
Year
DOI
Venue
2018
10.1177/1550147718796734
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Keywords
Field
DocType
Wireless sensor networks, differential evolution, node subset of coverage, minimal cost, maximal lifetime
Computer science,Algorithm,Computer network,Differential evolution,Wireless sensor network,Area coverage
Journal
Volume
Issue
ISSN
14
8
1550-1477
Citations 
PageRank 
References 
2
0.39
11
Authors
2
Name
Order
Citations
PageRank
Ning-ning Qin1111.98
Jia-le Chen220.39