Tracking with sleepy sensors

Venugopal V. Veeravalli, Jason A. Fuemmeler, Arun Visvanathan

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

Abstract

We study the problem of tracking an object that is moving randomly through a dense network of wireless sensors. We assume that each sensor has a limited range for detecting the presence of the object, and that the network is sufficiently dense so that the sensors cover the area of interest. In order to conserve energy the sensors may be put into a sleep mode with a timer that determines the sleep duration. We assume that a sensor that is asleep cannot be communicated with or woken up. Thus the sleep duration needs to be determined at the time the sensor goes to sleep based on all the information available to the sensor. The objective is to track the location of the object to within the accuracy of the range of the sensor. However, having sleeping sensors in the network could result in tracking errors, and hence there is a tradeoff between the energy savings and the tracking error that results from the sleeping actions at the sensors. We consider the design of sleeping policies that optimize this tradeoff.

Original languageEnglish (US)
Title of host publicationConference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers
Pages1546-1550
Number of pages5
StatePublished - Dec 1 2005
Event39th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Oct 28 2005Nov 1 2005

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2005
ISSN (Print)1058-6393

Other

Other39th Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period10/28/0511/1/05

Keywords

  • Dynamic programming
  • Random walk
  • Sleep mode
  • Wireless sensors

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Tracking with sleepy sensors'. Together they form a unique fingerprint.

  • Cite this

    Veeravalli, V. V., Fuemmeler, J. A., & Visvanathan, A. (2005). Tracking with sleepy sensors. In Conference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers (pp. 1546-1550). [1600026] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2005).