Energy-efficient coverage based on probabilistic sensing model in wireless sensor networks

Jiming Chen, Junkun Li, Shibo He, Youxian Sun, Hsiao Hwa Chen

Research output: Contribution to journalArticlepeer-review

73 Citations (Scopus)


Network coverage is one of the most critical issues to implement Wireless Sensor Networks (WSNs). It is important to find out a sensor set with maximal residual energy to cover all points of interest (PoIs). This issue was named as minimum weight sensor coverage problem (MWSCP) based on a boolean disc model and a probabilistic sensing model in the literature. In this paper, we introduce intelligent algorithms to solve this problem, yielding a better solution to MWSCP to extend network lifetime. Simulation results are conducted to demonstrate the effectiveness of our proposed algorithm in terms of network lifetime over existing algorithms.

Original languageEnglish
Article number5547597
Pages (from-to)833-835
Number of pages3
JournalIEEE Communications Letters
Issue number9
Publication statusPublished - 2010 Sep

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering


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