Coverage and Detection of a Randomized Scheduling Algorithm in Wireless Sensor Networks

  • Authors:
  • Yang Xiao;Hui Chen;Kui Wu;Bo Sun;Ying Zhang;Xinyu Sun;Chong Liu

  • Affiliations:
  • The University of Alabama, Tuscaloosa;Virginia State University, Petersburg;University of Victoria, Victoria;Lamar University, Beaumont;Soochow University, Suzhou;Tulane University, New Orleans;University of Victoria, Victoria and Research In Motion Limited, Ontario

  • Venue:
  • IEEE Transactions on Computers
  • Year:
  • 2010

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Abstract

In wireless sensor networks, some sensor nodes are put in sleep mode while other sensor nodes are in active mode for sensing and communication tasks in order to reduce energy consumption and extend network lifetime. This approach is a special case (k=2) of a randomized scheduling algorithm, in which k subsets of sensors work alternatively. In this paper, we first study the randomized scheduling algorithm via both analysis and simulations in terms of network coverage intensity, detection delay, and detection probability. We further study asymptotic coverage and other properties. Finally, we analyze a problem of maximizing network lifetime under Quality of Service constraints such as bounded detection delay, detection probability, and network coverage intensity. We prove that the optimal solution exists, and provide conditions of the existence of the optimal solutions.