Adaptive k-coverage contour evaluation and deployment in wireless sensor networks

  • Authors:
  • Jang-Ping Sheu;Guey-Yun Chang;Shan-Hung Wu;Yen-Ting Chen

  • Affiliations:
  • National Tsing Hua University;National Central University;National Tsing Hua University;National Central University

  • Venue:
  • ACM Transactions on Sensor Networks (TOSN)
  • Year:
  • 2013

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Abstract

The problem of coverage is a fundamental issue in wireless sensor networks. In this article, we consider two subproblems: k-coverage contour evaluation and k-coverage rate deployment. The former aims to evaluate, up to k, the coverage level of any location inside a monitored area, while the latter aims to determine the locations of a given set of sensors to guarantee the maximum increment of k-coverage rate when they are deployed into the area. For the k-coverage contour evaluation problem, a nonuniform-grid-based approach is proposed. We prove that the computation cost of our approach is at most the square root of existing solutions. Based on our k-coverage contour evaluation scheme, a greedy k-coverage rate deployment scheme (k-CRD) is proposed, which is shown to be an order faster than existing studies for k-coverage rate deployment. The k-CRD can incorporate two different heuristics to further reduce its running time. Simulation results show that k-CRD with these heuristics can be significantly more time efficient without causing much degradation in the coverage rate of final deployment.