Energy consumption in wireless sensor networks under varying sensor node traffic

Abraham O. Fapojuwo, Chi Kong Tse, Chung Ming Lau

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

6 Citations (Scopus)


This paper studies the problem of energy consumption minimization in wireless sensor networks (WSNs) under uncertainty in sensor node generated traffic. It is important to consider traffic uncertainty because WSNs designed for surveillance and monitoring applications typically operate in event-driven and query-driven modes for which the node generated traffic changes from instant to instant. The problem is formulated as a two-stage stochastic linear program with recourse where the objective is to minimize the sum of the energy cost expended on the carried traffic and the average energy cost of blocked traffic, under the constraint of a fixed energy budget at each node. The stochastic programming formulation lends to the consideration of two approaches for handling the randomly generated traffic: a deterministic approach in which all future generated random traffic are constrained by the link flows determined for the nominal traffic, and a stochastic approach where the link flows are adapted as the node generated traffic changes. Numerical results show that, compared to the deterministic approach, the stochastic approach provides up to 10% savings in network-level energy consumption and this is achieved without a loss in received data quality. The network-level energy savings translate to a prolonged network lifetime.
Original languageEnglish
Title of host publication2010 IEEE Wireless Communications and Networking Conference, WCNC 2010 - Proceedings
Publication statusPublished - 3 Aug 2010
EventIEEE Wireless Communications and Networking Conference 2010, WCNC 2010 - Sydney, NSW, Australia
Duration: 18 Apr 201021 Apr 2010


ConferenceIEEE Wireless Communications and Networking Conference 2010, WCNC 2010
CitySydney, NSW


  • Energy efficiency
  • Stochastic programming
  • Traffic uncertainty
  • Wireless sensor networks

ASJC Scopus subject areas

  • General Engineering


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