Efficient data collection for wireless networks: delay and energy tradeoffs

  • Authors:
  • Chao Ren;XuFei Mao;Xiang-Yang Li;Ping Xu;GuoJun Dai

  • Affiliations:
  • Northwestern Polytechnical University, Xi'an, China;Illinois Institute of Technology, Chicago;Hangzhou Dianzi University, Hangzhou, PRC;Illinois Institute of Technology, Chicago;Hangzhou Dianzi University, Hangzhou, PRC

  • Venue:
  • GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
  • Year:
  • 2009

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Abstract

In this paper, we study efficient data collection in wireless sensor networks. We present efficient distributed algorithms with approximately the minimum delay, or the minimum number of messages to be sent by all nodes, or the minimum total energy costs by all nodes. We analytically prove that all proposed methods are either optimum or within constants factor of the optimum. We then investigate the possibility of designing one universal method such that the delay, the messages sent by nodes, and the total energy costs by all nodes are all optimum or within constants factor of optimum. Given a method A for data collection let ϱT, ϱM, and ϱE be the approximation ratios of A in terms of time complexity, message complexity, and energy complexity respectively. We show that, for data collection, there are networks of n nodes and maximum degree Δ, such that ϱM ϱE = Ω(Δ) for any algorithm.