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
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3233-3238
Number of pages6
ISBN (Print)9781457700804
DOIs
StatePublished - 2011

Publication series

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    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). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/acc.2011.5991165