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Transmission Power Adaptation Based Energy Efficient Neighborhood Discovery

Abstract : Abstract--Neighborhood discovery - detection of the devices within communication range using HELLO messages - is a fundamental mechanism in wireless sensor networks (WSN) which enables usage of many di erent topology control and routing algorithms. Even though it is very important, most of the algorithms does not take into account parameters of the neighborhood discovery. We present two algorithms that adapt power of transmission of the sensors in a mobile WSN by still adapting frequency of HELLO messages in order to save energy and get accurate neighborhood tables. First solution is based on the knowledge of turnover - change in the number of neighbors in consecutive iterations of the neighborhood discovery - used in conjunction with adaptation of frequency and transmission range, minimizing general cost of transmission of the HELLO messages. Second solution is based on computing of optimal range. Both algorithms are based on theoretical analysis. Results show that they are energy e cient and outperform solutions of the literature.
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Submitted on : Friday, August 9, 2013 - 2:44:40 PM
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  • HAL Id : hal-00716285, version 1



Jovan Radak, Nathalie Mitton. Transmission Power Adaptation Based Energy Efficient Neighborhood Discovery. The 15th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM), ACM, Oct 2012, Paphos, Cyprus. ⟨hal-00716285⟩



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