Hybrid Genetic Algorithm Based Energy Management of Wireless Sensor Networks in Electric Distribution Networks

Author

Huang, Xuyong ; Miao, Shihong ; Pei, Liu

Author_Institution

Huazhong Univ. of Sci. & Technol., Wuhan

fYear

2007

fDate

21-25 Sept. 2007

Firstpage

2364

Lastpage

2367

Abstract

Energy constraint is one of the most demanding challenges in wireless sensor networks. In power systems, a wireless sensor is powered by either a battery or by energy that is harvested from the environment, such as photovoltaic cells, vibration, or an iron core winding which surrounds a line conductor. The average power that is available for activities is very limited. By analyzing the working model of sensor nodes in power electric system, an energy consumption model is constructed and a hybrid genetic algorithm is used to optimize the energy consumption in this paper.

Keywords

distribution networks; energy consumption; genetic algorithms; telecommunication network management; wireless sensor networks; electric distribution network; energy consumption model; energy management; genetic algorithm; wireless sensor network; Batteries; Energy consumption; Energy management; Genetic algorithms; Hybrid power systems; Photovoltaic systems; Power system analysis computing; Power system modeling; Sensor systems; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1311-9

Type

conf

DOI

10.1109/WICOM.2007.589

Filename

4340364