Energy Optimization in Wireless Sensor Networks Based on Genetic Algorithms

被引：0
|
作者：
Rodriguez, Angela [1 ]
Falcarin, Paolo [2 ]
Ordonez, Armando [1 ]
机构：
[1] Univ Fdn Popayan FUP, Intelligent Management Syst, Popayan, Colombia
[2] Univ E London, Sch Architecture Comp & Engn, London E15 4LZ, England
来源：
2015 SAI INTELLIGENT SYSTEMS CONFERENCE (INTELLISYS) | 2015年
关键词：
wireless sensor networks; genetic algorithm; multi-objective optimization;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：470 / 474
页数：5
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