期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2011
卷号：33
期号：2
页码：177-183
出版社：Journal of Theoretical and Applied
摘要：Energy efficiency in the wireless sensor networks is the major factor which determines its usability in applications like military surveillance, environmental monitoring, and health care monitoring. Improving Energy efficiency through evolutionary computing algorithms is the latest research phenomena for wireless groups all around the world. Mostly, due to the dense deployment of sensor motes in a monitoring area redundant data will be given to the sink nodes. In the recent works done in this NP-hard problem routing activity is only concentrated much to conserve the energy within the network. Here in our proposed work genetics operators are applied in such a way to reduce the redundant information to the sink station and conserve its energy reserves.
关键词：Sensor; Energy Efficiency; Clustering; Genetic Algorithm; Life Time
