The art of sleeping in wireless sensing systems

J. F. Chamberland, V. V. Veeravalli

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


This article studies energy-aware design strategies in the context of wireless sensor networks. Sensor networks provide an efficient means to collect, analyze, and transmit environmental data. Since wireless sensor nodes are normally powered by small batteries, the performance and viability of such systems rely strongly on energy conservation. In this work, an energy-efficient scheme by which sensor nodes go to sleep periodically is proposed. The duration of a sleep interval is determined dynamically based on past observations and prior knowledge about the statistics of the stochastic process being observed. For the problem of detecting level crossings in a Poisson arrival process, dynamic programming is employed to obtain an optimal average power versus detection delay tradeoff curve. This problem serves as an illustrative example to show how a small increase in expected detection delay can result in substantial energy savings.

Original languageEnglish (US)
Title of host publicationProceedings of the 2003 IEEE Workshop on Statistical Signal Processing, SSP 2003
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)0780379977
StatePublished - 2003
EventIEEE Workshop on Statistical Signal Processing, SSP 2003 - St. Louis, United States
Duration: Sep 28 2003Oct 1 2003

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings


OtherIEEE Workshop on Statistical Signal Processing, SSP 2003
Country/TerritoryUnited States
CitySt. Louis


  • Art
  • Batteries
  • Delay
  • Energy conservation
  • Energy efficiency
  • Sensor systems
  • Sleep
  • Statistics
  • Stochastic processes
  • Wireless sensor networks

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Signal Processing
  • Computer Science Applications


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