Statistical analysis to extract effective parameters on overall energy consumption of Wireless Sensor Network (WSN)

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Parallel and Distributed Computing, Applications and Technologies, PDCAT Proceedings, 2012, pp. 20 - 23
Issue Date:
2012-12-01
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In this paper, we use statistical tools to analysis dependency between Wireless Sensor Network (WSN) parameters and overall Energy Consumption (EC). Our approach has two key steps: profiling, and effective parameter extraction. In former step, a sensor network simulator is re-run 800 times with different values of the WSN parameters to profile the average residual energy in nodes. In latter step, three statistical analyses (p-value, linear and non-linear correlation) are applied to the outcome of profiled experiments to extract the most effective parameters on WSN residual energy.
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