Duty cycle scheduling in dynamic sensor networks for controlling event detection probabilities

Hassan Jaleel, Amir Rahmani, Magnus Egerstedt

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

6 Scopus citations

Abstract

A sensor network comprising of RF or radar-based sensors has a deteriorating performance in that the effective sensor footprint shrinks as the power level decreases. Power is typically only drawn from the sensor nodes when they are turned on, and as a consequence, the power consumption can be controlled by controlling the duty cycle of the sensors. In this paper, we provide a probabilistic scheduling of the duty cycles in a sensor network deployed in an area of interest based on a Poisson distribution which ensures that a performance measure, e.g., the probability of event detection, is achieved throughout the lifetime of the network. Upper bounds on the performance of the network are given in terms of the decay rates, the spatial distribution intensity, and the desired performance of the network.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 American Control Conference, ACC 2011
Pages3233-3238
Number of pages6
StatePublished - Sep 29 2011
Event2011 American Control Conference, ACC 2011 - San Francisco, CA, United States
Duration: Jun 29 2011Jul 1 2011

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2011 American Control Conference, ACC 2011
CountryUnited States
CitySan Francisco, CA
Period6/29/117/1/11

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Jaleel, H., Rahmani, A., & Egerstedt, M. (2011). Duty cycle scheduling in dynamic sensor networks for controlling event detection probabilities. In Proceedings of the 2011 American Control Conference, ACC 2011 (pp. 3233-3238). [5991165] (Proceedings of the American Control Conference).