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An Adaptive Low-Power Listening Protocol for Wireless Sensor Networks in Noisy Environments
School of Electronic Engineering, Soongsil University, Seoul 06978, South Korea.
School of Electronic Engineering, Soongsil University, Seoul 06978, South Korea.
School of Computer Science, Royal Melbourne Institute of Technology University, Melbourne.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1902-9877
2017 (English)In: IEEE Systems Journal, ISSN 1932-8184, E-ISSN 1937-9234Article in journal (Refereed) Epub ahead of print
Abstract [en]

This paper investigates the energy consumption minimizationproblem for wireless sensor networks running low-powerlistening (LPL) protocols in noisy environments. We observe thatthe energy consumption by false wakeups (i.e., wakeup without receivingany packet) of a node in noisy environments can be a dominantfactor in many cases while the false wakeup rate is spatiallyand temporarily dynamic. Based on this observation, without carefullyconsidering the impact of false wakeups, the energy efficientperformance of LPL nodes in noisy environments may significantlydeviate from the optimal performance. To address this problem,we propose a theoretical framework incorporating LPL temporalparameters with the false wakeup rate and the data rate. We thenformulate an energy consumption minimization problem of LPLin noisy environments and address the problem by a simplifiedand practical approach. Based on the theoretical framework, wedesign an efficient adaptive protocol for LPL (APL) in noisy environments.Through extensive experimental studies with Telosbnodes in real environments, we show that APL achieves 20%–40%energy efficient improvement compared to existing LPL protocolsunder various network conditions.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017.
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-64866DOI: 10.1109/JSYST.2017.2720781OAI: oai:DiVA.org:ltu-64866DiVA: diva2:1124492
Available from: 2017-07-13 Created: 2017-07-13 Last updated: 2017-11-24

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Vasilakos, Athanasios

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