Algorithms for the m-coverage problem and k-connected m-coverage problem in wireless sensor networks

  • Authors:
  • Deying Li;Jiannong Cao;Dongsheng Liu;Ying Yu;Hui Sun

  • Affiliations:
  • School of Information, Renmin University of China, Beijing, China and Key Laboratory of Data Engineering and Knowledge Engineering, MOE;Department of Computing, The Hong Kong Polytechnic University, HongKong;School of Information, Renmin University of China, Beijing, China;School of Information Engineering, University of Science and Technology of Beijing;School of Information, Renmin University of China, Beijing, China

  • Venue:
  • NPC'07 Proceedings of the 2007 IFIP international conference on Network and parallel computing
  • Year:
  • 2007

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Abstract

An important issue in deploying a wireless sensor network (WSN) is to provide target coverage with high energy efficiency and fault-tolerance. In this paper, we study the problem of constructing energy-efficient and faulttolerant target coverage with the minimal number of active nodes which form an m-coverage for targets and a k-connected communication subgraph. We propose two heuristic algorithms for m-coverage problem, and get the performance ratio of one heuristic. Then two heuristic algorithms are further proposed to solve the k-connected m-coverage problem. The simulation results demonstrate the desired efficiency of the proposed algorithms.