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Erschienen in:
2005 | OriginalPaper | Buchkapitel
PSO-Based Energy Efficient Gathering in Sensor Networks
verfasst von : Ying Liang, Haibin Yu
Erschienen in: Mobile Ad-hoc and Sensor Networks
Verlag: Springer Berlin Heidelberg
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Sensor networks consisting of nodes with limited battery power and wireless communications is among the fastest growing technologies. There are many challenges in implementation of such systems: energy dissipation and data gathering being one of them. Gathering sensed information in an energy efficient manner is critical to operate the sensor network for a long period of time. While cluster-based data collection is efficient at energy and bandwidth, it’s difficult to ensure balanced energy depletion on all cluster-members after a longtime run. In this paper we propose a new distributed cluster-based data gathering algorithm using PSO to optimize clustering process. The election of cluster-heads need synthetically consider the state information including location and energy reserved about candidates and their neighbors. Our preliminary simulation results show that the proposed algorithm balances the energy dissipation over the whole network thus prolongs the network lifetime.