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Balance-based energy-efficient communication protocols for wireless sensor networks

  • Yu Wang
  • , Hongyi Wu
  • , Ravi Nelavelli
  • , Nian Feng Tzeng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Energy efficiency is a critical design issue in wireless sensor networks, where each sensor node relies on its limited battery power for data acquisition, processing, transmission, and reception. In this paper, we propose several energy-efficient communication schemes based on power control and load balancing, aiming at even distribution of the residual energy of the sensors and thus prolonging the lifetime of overall wireless sensor networks. More specifically, an Integer Linear Programming (ILP) algorithm and a Distributed Energy Efficient Routing (DEER) protocol are proposed for time-driven sensor networks. A Residual Energy-based Traffic Splitting (RETS) protocol is introduced for event-driven sensor networks. We have carried out extensive simulations to evaluate the proposed protocols. Our simulation results show that most heuristic approaches yield network lifetimes far smaller than the upper bound obtained from the ILP algorithm. The proposed DEER and RETS approaches can effectively distribute energy consumption evenly among the sensor nodes to prolong the network lifetime by up to 200% or more, when compared with other approaches in the literature.

Original languageEnglish (US)
Title of host publication26th IEEE International Conference on Distributed Computing Systems Workshops, ICDCS 2006
DOIs
StatePublished - 2006
Externally publishedYes
Event26th IEEE International Conference on Distributed Computing Systems Workshops, ICDCS 2006 - Lisboa, Portugal
Duration: Jul 4 2006Jul 7 2006

Publication series

NameProceedings - International Conference on Distributed Computing Systems

Conference

Conference26th IEEE International Conference on Distributed Computing Systems Workshops, ICDCS 2006
Country/TerritoryPortugal
CityLisboa
Period7/4/067/7/06

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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