Towards Energy-Efficient Algorithm-Based Estimation in Wireless Sensor Networks

Alia Ghaddar 1, 2 Tahiry Razafindralambo 1 Isabelle Simplot-Ryl 1 David Simplot-Ryl 1 Samar Tawbi 2
1 POPS - System and Networking for Portable Objects Proved to be Safe
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe, IRCICA
Abstract : A primary purpose of sensing in a sensor network is to collect and aggregate information about a phenomenon of interest. The batteries on today's wireless sensor barely last a few days, and nodes typically expend a lot of energy in computation and wireless communication. Hence, the energy efficiency of the system is a major issue. Different representa- tive mechanisms has been proposed to achieve a long- lived sensors such as “clustering mechanisms” as well as Aggregation techniques to reduce the amount of data communication generated by sensors. Depending on the data type, ARMA series and forecasting are possible ways to reduce data transmission. In this work, we adopt single-hop clustering mechanism where all sensor nodes in a cluster communicate with their Cluster-Head (or sink) via single hop (such as In/On- body sensors for personal health monitoring,..). We propose different data aggregation algorithms based on the AutoRegressive model, to predict local readings and reduce the communication traffic. We evaluate the performance of our work in terms of communication cost and energy consumption. We also extend our work to enhance the prediction accuracy by estimating dynamic prediction threshold. Our simulation shows that depending on data type, communication overhead and rate can be reduced and a considerable accuracy prediction can be obtained.
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Conference papers
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Alia Ghaddar, Tahiry Razafindralambo, Isabelle Simplot-Ryl, David Simplot-Ryl, Samar Tawbi. Towards Energy-Efficient Algorithm-Based Estimation in Wireless Sensor Networks. Proc. 6th International Conference on Mobile Ad-hoc and Sensor Networks (MSN'10), Dec 2010, Hangzhou, China. pp.39 -- 46, ⟨10.1109/MSN.2010.12⟩. ⟨inria-00563420⟩



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