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http://dx.doi.org/10.6109/jkiice.2018.22.4.676

An Energy Optimization Algorithm for Maritime Search and Rescue in Wireless Sensor Networks  

Jang, Kil-woong (Department of Data Information, Korea Maritime and Ocean University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.4, 2018 , pp. 676-682 More about this Journal
Abstract
In wireless sensor networks, we propose an optimization algorithm in order to minimize the consumed energy of nodes for maritime search and rescue. In the marine environment, search and rescue operations are mainly performed on the surveillance side and passively on the rescued side. A self-configurable wireless sensor network can build a system that can send rescue signals in the operations. A simulated annealing algorithm is proposed to minimize the consumed energy of nodes in the networks with many nodes. As the density of nodes becomes higher, the algorithmic computation will increase highly. To search the good result in a proper execution time, the proposed algorithm proposes a new neighborhood generating operation and improves the efficiency of the algorithm. The proposed algorithm was evaluated in terms of the consumed energy of the nodes and algorithm execution time, and the proposed algorithm performed better than other optimization algorithms in the performance results.
Keywords
Maritime search and rescue; optimization; simulated annealing; wireless sensor networks;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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