A coverage-preserving node scheduling scheme for large wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Grid Coverage for Surveillance and Target Location in Distributed Sensor Networks
IEEE Transactions on Computers
The coverage problem in a wireless sensor network
WSNA '03 Proceedings of the 2nd ACM international conference on Wireless sensor networks and applications
An energy aware coverage-preserving scheme for wireless sensor networks
PE-WASUN '05 Proceedings of the 2nd ACM international workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
Genetic Algorithm for Energy Efficient Clusters in Wireless Sensor Networks
ITNG '07 Proceedings of the International Conference on Information Technology
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Recent years, coverage has been widely investigated as one of the fundamental quality measurements of wireless sensor networks. In order to maintaining the coverage while saving energy of networks, algorithms have been developed to keep a minimum cover set of sensors working and turn off the redundant sensors. Generally, centralized algorithms can give a better result than distributed algorithms in terms of the number of active sensors. However, the heavy computation requirements and message overhead for collecting geographical location data keep centralized algorithms out of most distributed scenarios. In this article, Based on the idea of coverage compensation a distributed node partition algorithm for random deployments is presented to generate a minimum cover set by using the optimal node distributions created by the centralized algorithms such as GA. A Genetic Algorithm for coverage is proposed too to demonstrate how an optimal coverage node distribution created by GA can be used in a distributed scenario. Ours works are simulated on JGAP and NS2. The simulation result shows that our partition algorithm based on coverage compensation can achieve the same performance as OCOPS in terms of coverage and number of active sensors while using less control messages.