Journal
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Volume -, Issue -, Pages -Publisher
HINDAWI PUBLISHING CORPORATION
DOI: 10.1155/2014/976307
Keywords
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Funding
- National 863 High Technology Research and Development plans to fund Projects [2011A01A204, 2012AA01A306]
- National Natural Science Foundation of China [61170245]
- Science of Technology Research of Foundation Project of Henan Province Education Department [2014B520099]
- Natural Science and Technology Research of Foundation Project of Henan Province Department of Science [142102210471]
- Natural Science Foundation for Young Scientists of Shanxi Province [2013JQ8024]
- Scientific Research Program by Shaanxi Provincial Education Department [2013JK1139]
- China Postdoctoral Science Foundation [2013M542370]
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The problem of using lesser wireless sensor network nodes to achieve coverage and connection of certain areas under given coverage conditions is a priority and hotspot issue of WSN. For this reason, in this paper, an optimized strategy coverage control (OSCC) algorithm is proposed. First of all, a relation mapping model of sensor nodes and target nodes is established by OSCC which is based on geometric figure and related theories, probability theory, converge property, and so forth to complete effective reasoning and calculate certain network models. Secondly, OSCC makes efficient analysis of the calculating results figure out the least number of sensor nodes to cover specific monitoring area. Thirdly, OSCC picks out the optimal routing solution while conducting combinatorial optimization of routing path using ant colony optimization (ACO) algorithm, thus reducing the energy spending of whole network. In the end, this paper verifies OSCC algorithm by simulation experiment and proves it can use least sensor nodes to effectively cover target area. Also, OSCC helps greatly reduce network energy consuming, minimize network resources layout costs, and enhance network life cycle, simultaneously.
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