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 conduct...

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Bibliographic Details
Main Authors: Xuyong Huang, Shihong Miao, Liu Pei
Format: Conference Proceeding
Language:English
Subjects:
Batteries
Energy consumption
Energy management
Genetic algorithms
Hybrid power systems
Photovoltaic systems
Power system analysis computing
Power system modeling
Sensor systems
Wireless sensor networks
Online Access:Request full text
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Summary: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.
ISSN:2161-9646
DOI:10.1109/WICOM.2007.589