期刊
2019 IEEE 25TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS)
卷 -, 期 -, 页码 633-638出版社
IEEE COMPUTER SOC
DOI: 10.1109/ICPADS47876.2019.00095
关键词
UWSN; target detection; depth adjustment; barrier deployment; Voronoi
资金
- National Natural Science Foundation (NSFC) [61872266, 61672131, 61871286]
- National Natural Science Foundation of China-Guangdong Joint Fund [U1701263]
Underwater sensor network has broad application prospects for performing underwater warning, target detection, and marine environment monitoring. However, traditional cube-filled full-coverage node deployment schemes are costly and infeasible to detect target objects due to the considerably redundant nodes. In this paper, we propose a new scheme with a low cost to detect the target in dynamic waters to reduce the cost of the deployment. Our scheme controls the distributed sensors to move and construct an angular sensor barrier through which the target may pass. The profile-based barrier deployment scheme only needs to adjust node depth to reduce movement costs. During depth adjustment, the proposed method takes the node density, the residual energy of the node and the node movement effect into account so that the randomly distributed nodes are sunk at different depths, and the redundant nodes are removed by the 2-Voronoi diagram lemma. We use the simulation experiment to evaluate the coverage and energy consumption during the movement of the nodes. The analysis of the experimental results shows that the method has good coverage performance. Also, it can reduce and balance energy consumption during the anchor node deployment to extend network uptime.
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