Title :
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
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;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.589
