Energy optimization in wireless sensor networks based on genetic algorithms

Book chapter

Rodriguez, Angela, Falcarin, P. and Ordonez, Armando 2015. Energy optimization in wireless sensor networks based on genetic algorithms. in: 2015 SAI Intelligent Systems Conference (IntelliSys) IEEE. pp. 470-474
AuthorsRodriguez, Angela, Falcarin, P. and Ordonez, Armando
Abstract

Wireless sensor is a consolidated technology with high potential in the Internet of Things. However, some open issues must be tackled in order to leverage the whole potential of this technology. One of the challenges is the energy consumption. Many algorithms have been proposed for saving energy. However these approaches use a mono-objective evaluation and the contradiction between optimization parameters values is not considered. Besides these approaches don't offer a unique solution. This paper describes MOR4WSN an algorithm based in NSGA-II for selecting the best sensor distribution as well as a mechanism for optimization of results. Experimental evaluation shows promising results in terms of lifetime maximization.

Keywordsmulti-objective optimization; wireless sensor networks; genetic algorithm
Book title2015 SAI Intelligent Systems Conference (IntelliSys)
Page range470-474
Year2015
PublisherIEEE
Publication dates
Print21 Dec 2015
Publication process dates
Deposited27 Jun 2017
Accepted2015
EventSAI Intelligent Systems Conference 2015 (IntelliSys)
Digital Object Identifier (DOI)https://doi.org/10.1109/IntelliSys.2015.7361182
Web address (URL)https://doi.org/10.1109/IntelliSys.2015.7361182
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© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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