Energy optimization in wireless sensor networks based on genetic algorithms
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
|Authors||Rodriguez, Angela, Falcarin, P. and Ordonez, Armando|
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.
|Keywords||multi-objective optimization; wireless sensor networks; genetic algorithm|
|Book title||2015 SAI Intelligent Systems Conference (IntelliSys)|
|21 Dec 2015|
|Publication process dates|
|Deposited||27 Jun 2017|
|Event||SAI 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|
© 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.
|Accepted author manuscript|
0views this month
0downloads this month