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On power control for wireless sensor networks: System model, middleware component and experimental evaluation
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES).
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9810-3478
KTH, School of Electrical Engineering (EES), Automatic Control.
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2015 (English)In: 2007 European Control Conference, ECC 2007, 2015, 4293-4300 p.Conference paper (Refereed)
Abstract [en]

In this paper, we investigate strategies for radio power control for wireless sensor networks that guarantee a desired packet error probability. Efcient power control algorithms are of major concern for these networks, not only because the power consumption can be signicantly decreased but also because the interference can be reduced, allowing for higher throughput. An analytical model of the Received Signal Strength Indicator (RSSI), which is link quality metric, is proposed. The model relates the RSSI to the Signal to Interference plus Noise Ratio (SINR), and thus provides a connection between the powers and the packet error probability. Two power control mechanisms are studied: a Multiplicative-Increase Additive-Decrease (MIAD) power control described by a Markov chain, and a power control based on the average packet error rate. A component-based software implementation using the Contiki operating system is provided for both the power control mechanisms. Experimental results are reported for a test-bed with Telos motes.

Place, publisher, year, edition, pages
2015. 4293-4300 p.
Keyword [en]
Power Control, Wireless Sensor Networks, Networked
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-81331ScopusID: 2-s2.0-84927728895ISBN: 9783952417386OAI: diva2:497337
2007 9th European Control Conference, ECC 2007; Kos International Convention Center (KICC)Kos; Greece; 2 July 2007 through 5 July 2007

QC 20120216

Available from: 2012-02-16 Created: 2012-02-10 Last updated: 2015-06-01Bibliographically approved

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