Assessment of proactive transmission power control for wireless sensor networks

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

5 Citaten (Scopus)
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In order to prolong lifetime of Wireless Sensor Networks (WSN), Transmission Power Control (TPC) techniques are employed. The existing TPC schemes adjust the transmission power mostly reacting to changes at link quality between communicating nodes. Proactive TPC has been proposed in the recent past as reactivity does not address the need for reliability. Efficiency of a proactive TPC is determined by its prediction accuracy to link quality, ease of configuration and energy efficiency. Current state-of-the-art does not argue about proactive TPC methods on those requirements. This paper provides a targeted analysis of four prominent algorithms such as Discrete Kalman Filter (DKF), Exponentially Weighted Moving Average (EWMA), Simple Moving Average (SMA), Weighted Moving Average (WMA), and Linear Regression (LR) that could be employed in a proactive low-power TPC technique. Our experiments indicate that prediction accuracy of DKF has the least forecasting error and outperforms the prediction accuracy of all other algorithms under discussion. Amongst the Moving Average algorithms, the prediction accuracy of WMA is significantly better and linear regression algorithm has the worst performance. Evaluating the cost involved in terms of radio power and ease of configuration, WMA is the best algorithm for implementing proactive TPC.
Originele taal-2Engels
TitelProceedings of the 9th International Conference on Body Area Networks, 29 September - 1 October 2014, London, Great Britain, BodyNets 2014
Plaats van productieBrussels
UitgeverijInstitute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST)
Aantal pagina's7
ISBN van elektronische versie978-1-63190-047-1
StatusGepubliceerd - 29 sep. 2014
Evenement9th International Conference on Body Area Networks, BodyNets 2014 - London, Verenigd Koninkrijk
Duur: 29 sep. 20141 okt. 2014
Congresnummer: 9


Congres9th International Conference on Body Area Networks, BodyNets 2014
Verkorte titelICST 2014
Land/RegioVerenigd Koninkrijk


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