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(to be completed)

 


ThinkMind // International Journal On Advances in Networks and Services, volume 2, number 1, 2009 // View article netser_v2_n1_2009_5


Selection of Computing Elements for Energy Efficiency inWireless Sensor Networks using a Statistical Estimation Method

Authors:
Steven Corroy
Jan Beiten
Junaid Ansari
Heribert Baldus
Petri Mähönen

Keywords: Wireless sensor networks; energy efficiency; energy consumption estimation.

Abstract:
A wide range of wireless sensor network applications are characterized by local processing of the sensed data and only meager data communication requirements. Since sensor nodes are battery powered and wireless communication bears a high energy cost, data transmission can be traded for on-node-computing in order to extend the lifetime of a node as well as the network. Furthermore, the energy consumption can be reduced significantly by selecting and realizing the application on an appropriate processing element. In this article, we propose a new statistical technique for energy consumption estimation for a specific application on various platforms. We have empirically verified the methodology on various classes of embedded processors commonly used for sensor nodes. The methodology is also applicable to multiprocessor platforms. Our solution is not only capable of achieving high degree of accuracy but also facilitates the application developer to evaluate different platforms without actually implementing the application on each of these platforms. Our experimental evaluation results on different platforms will help understand the implications of using different processing elements and their effects on the lifetime of a wireless sensor network.

Pages: 53 to 62

Copyright: Copyright (c) to authors, 2009. Used with permission.

Publication date: June 7, 2009

Published in: journal

ISSN: 1942-2644

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