Minimum power configuration for wireless communication in sensor networks

  • Authors:
  • Guoliang Xing;Chenyang Lu;Ying Zhang;Qingfeng Huang;Robert Pless

  • Affiliations:
  • City University of Hong Kong, Hong Kong;Washington University, St. Louis, MO;Palo Alto Research Center (PARC), Inc., Palo Alto, CA;Palo Alto Research Center (PARC), Inc., Palo Alto, CA;Washington University in St. Louis, St. Louis, MO

  • Venue:
  • ACM Transactions on Sensor Networks (TOSN)
  • Year:
  • 2007

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Abstract

This article proposes the minimum power configuration (MPC) approach to power management in wireless sensor networks. In contrast to earlier research that treats different radio states (i.e., transmission/reception/idle) in isolation, MPC integrates them in a joint optimization problem that depends on both the set of active nodes and the transmission power. We propose four approximation algorithms with provable performance bounds and two practical routing protocols. Simulations based on realistic radio models show that the MPC approach can conserve more energy than existing minimum power routing and topology control protocols. Furthermore, it can flexibly adapt to network workload and radio platforms.