Energy consumption optimization for sensor networks in the IoT

Author

Rodriguez, Angela ; Ordonez, Armando ; Ordonez, Hugo

Author_Institution

Intell. Manage. Syst., Univ. Found. of Popayan, Popayan, Colombia

fYear

2015

fDate

13-15 May 2015

Firstpage

1

Lastpage

6

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; a promising alternative is an evolutionary multi-objective technique. However these approaches offer a set of solutions and the selection of the optimal solution is not trivial. This paper present an algorithm based in NSGA-II for selecting the best sensor distribution as well as a mechanism for optimization of results.

Keywords

Internet of Things; energy conservation; energy consumption; evolutionary computation; wireless sensor networks; Internet of Things; IoT; NSGA-II; energy consumption optimization; energy saving; evolutionary multiobjective technique; sensor distribution; wireless sensor network; Artificial intelligence; Energy consumption; Optimization; Silicon compounds; Software engineering; Wireless communication; Wireless sensor networks; algoritmos genéticos; frente de Pareto; redes de sensores inalámbricos;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Computing (COLCOM), 2015 IEEE Colombian Conference on

Conference_Location

Popayan

Print_ISBN

978-1-4799-1760-0

Type

conf

DOI

10.1109/ColComCon.2015.7152097

Filename

7152097