Adaptive radio modes in sensor networks

how deep to sleep?

Raja Jurdak*, Antonio G. Ruzzelli, Gregory M P O'Hare

*Corresponding author for this work

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

30 Citations (Scopus)

Abstract

Energy-efficient performance is a central challenge in sensor network deployments, and the radio is a major contributor to overall energy node consumption. Current energyefficient MAC protocols for sensor networks use a fixed low power radio mode for putting the radio to sleep. Fixed low power modes involve an inherent tradeoff: deep sleep modes have low current draw and high energy cost and latency for switching the radio to active mode, while light sleep modes have quick and inexpensive switching to active mode with a higher current draw. This paper proposes adaptive radio low power sleep modes based on current traffic conditions in the network, as an enhancement to our recent RFIDImpulse low power wake-up mechanism. The paper also introduces a comprehensive node energy model, that includes energy components for radio switching, transmission, reception, listening, and sleeping, as well as the often disregarded microcontroller energy component to evaluate energy performance for both MicaZ and TelosB platforms, which use different MCU's. We then use the model for comparing the energy-related performance of RFIDImpulse enhanced with adaptive low power modes with BMAC and IEEE 802.15.4 for the two node platforms under varying data rates. The comparative analysis confirms that RFIDImpulse with adaptive low power modes provides up to 20 times lower energy consumption than IEEE 802.15.4 in low traffic scenario. The evaluation also yields the optimal settings of low power modes on the basis of data rates for each node platform, and it provides guidelines for the selection of appropriate MAC protocol, low power mode, and node platform for a given set of traffic requirements of a sensor network application.

Original languageEnglish
Title of host publication2008 5th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks
Subtitle of host publicationSan Francisco, California USA 16 – 20 June 2008
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages386-394
Number of pages9
ISBN (Print)9781424417773
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event5th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2008 - San Francisco, CA, United States
Duration: 16 Jun 200820 Jun 2008

Other

Other5th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2008
CountryUnited States
CitySan Francisco, CA
Period16/06/0820/06/08

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