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Home > Archive>Volume 27, Issue 5, 2016 >1285-1300. DOI:10.13328/j.cnki.jos.004824
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Optimized Coverage Algorithm in Probability Model
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National Natural Science Foundation of China (61170245); National High-Tech R&D Program of China (863) (2012AA01A306); Key Natural Science Foundation of Education Department of He’nan Province of China (2014B520099); Natural Science Foundation Young Talent Project of Shaanxi Province of China (2013JQ8024); Key Science and Technology Program of He’nan Province of China (142102210471, 162102210113); China Postdoctoral Science Foundation (2014M562153)

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    Abstract:

    Coverage rate is not only an important criteria to assess wireless sensor network but also a key research subject. An optimized coverage algorithm driven by probability model is proposed in this paper. The solution of expectation value of sensor nodes coverage and tolerance as well as the verification process of expectation value of first coverage of concerned target nodes are obtained by calculation of probability coverage model. Regarding network energy, communication path is optimized by means of scheduling policy of node state. As for decrement in node energy, the significance of existence for fitting functional limit is proven. Thus, the energy of sensor nodes matches effectively and the consumption of node energy is restrained. The relationship among coverage functions of sensor nodes in the optimized monitoring area is proven. The simulation experiment shows the proposed algorithm can improve the quality of coverage and the service of network, restrain the consumption of network energy, and prolong the network lifetime.

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孙泽宇,伍卫国,王换招,邢萧飞,陈衡.概率模型下的一种优化覆盖算法.软件学报,2016,27(5):1285-1300

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History
  • Received:July 20,2014
  • Revised:January 22,2015
  • Online: May 06,2016
Links:Institute of Software, CASChina Computer FederationCASNSFC
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