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Sensors 2016, 16(10), 1754;

Underwater Sensor Network Redeployment Algorithm Based on Wolf Search

College of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
Author to whom correspondence should be addressed.
Academic Editor: José-Fernán Martínez
Received: 18 August 2016 / Revised: 8 October 2016 / Accepted: 11 October 2016 / Published: 21 October 2016
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This study addresses the optimization of node redeployment coverage in underwater wireless sensor networks. Given that nodes could easily become invalid under a poor environment and the large scale of underwater wireless sensor networks, an underwater sensor network redeployment algorithm was developed based on wolf search. This study is to apply the wolf search algorithm combined with crowded degree control in the deployment of underwater wireless sensor networks. The proposed algorithm uses nodes to ensure coverage of the events, and it avoids the prematurity of the nodes. The algorithm has good coverage effects. In addition, considering that obstacles exist in the underwater environment, nodes are prevented from being invalid by imitating the mechanism of avoiding predators. Thus, the energy consumption of the network is reduced. Comparative analysis shows that the algorithm is simple and effective in wireless sensor network deployment. Compared with the optimized artificial fish swarm algorithm, the proposed algorithm exhibits advantages in network coverage, energy conservation, and obstacle avoidance. View Full-Text
Keywords: underwater sensor networks; 3D node deployment; coverage; wolf search underwater sensor networks; 3D node deployment; coverage; wolf search

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Jiang, P.; Feng, Y.; Wu, F. Underwater Sensor Network Redeployment Algorithm Based on Wolf Search. Sensors 2016, 16, 1754.

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