Hybrid Genetic Algorithm Based Energy Management of Wireless Sensor Networks in Electric Distribution Networks
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.
Network lifetime Energy Consumption Hybird Genetic Algorithm Electric Distribution Networks
Xuyong Huang Shihong Miao Liu Pei
Huazhong University of Science and Technology, Wuhan, PRC
国际会议
上海
英文
2007-09-21(万方平台首次上网日期,不代表论文的发表时间)