Paper Info
Title
A Two-Phase Coverage-Enhancing Algorithm for Hybrid Wireless Sensor Networks.
Abstract
Providing field coverage is a key task in many sensor network applications. In certain scenarios, the sensor field may have coverage holes due to random initial deployment of sensors; thus, the desired level of coverage cannot be achieved. A hybrid wireless sensor network is a cost-effective solution to this problem, which is achieved by repositioning a portion of the mobile sensors in the network to meet the network coverage requirement. This paper investigates how to redeploy mobile sensor nodes to improve network coverage in hybrid wireless sensor networks. We propose a two-phase coverage-enhancing algorithm for hybrid wireless sensor networks. In phase one, we use a differential evolution algorithm to compute the candidate's target positions in the mobile sensor nodes that could potentially improve coverage. In the second phase, we use an optimization scheme on the candidate's target positions calculated from phase one to reduce the accumulated potential moving distance of mobile sensors, such that the exact mobile sensor nodes that need to be moved as well as their final target positions can be determined. Experimental results show that the proposed algorithm provided significant improvement in terms of area coverage rate, average moving distance, area coverage-distance rate and the number of moved mobile sensors, when compare with other approaches.
Year
DOI
Venue
2017
10.3390/s17010117
SENSORS
Keywords
Field
DocType
hybrid wireless sensor network,differential evolution,area coverage,mobile sensor,static sensor
Key distribution in wireless sensor networks,Software deployment,Visual sensor network,Brooks–Iyengar algorithm,Algorithm,Real-time computing,Differential evolution,Mobile wireless sensor network,Engineering,Wireless sensor network,Area coverage
Journal
Volume
Issue
Citations 
17
1.0
5
PageRank 
References 
Authors
0.48
15
2
Name
Order
Citations
PageRank
Qingguo Zhang1241.90
Mable P. Fok276.12