基于节点休眠的水下无线传感器网络覆盖保持分簇算法

刁鹏飞; 王艳娇

doi:10.11999/JEIT170787

基于节点休眠的水下无线传感器网络覆盖保持分簇算法

doi: 10.11999/JEIT170787

刁鹏飞¹,
王艳娇¹

基金项目:

东北林业大学双一流人才引进项目，国家自然科学基金(61501107)

计量
- 文章访问数: 1387
- HTML全文浏览量: 206
- PDF下载量: 163
- 被引次数: 0
出版历程
- 收稿日期: 2017-08-04
- 修回日期: 2018-01-15
- 刊出日期: 2018-05-19

Coverage-preserving Clustering Algorithm for Underwater Sensor Networks Based on the Sleeping Mechanism

DIAO Pengfei¹,
WANG Yanjiao¹

Funds:

Northeast Forestry University Double Top Talent Introduction Project, The National Natural Science Foundation of China (61501107)

摘要

摘要: 为有效延长水下无线传感器网络的生命周期、保持网络覆盖率，该文提出一种基于节点休眠的覆盖保持分簇算法。首先计算网络节点的覆盖冗余度，并对覆盖冗余度高的节点执行休眠策略，然后以网络覆盖率及节点能耗均衡性为目标，采用多目标算法进行求解，再利用TOPSIS法从非支配解集中选出较优解，当有节点死亡时，通过唤醒策略保持网络覆盖率。仿真结果表明，与目前较好的网络规划算法相比，该文算法能够更好地降低网络能耗，延长网络生命周期并保持网络对环境的覆盖率。
- 水下无线传感器网络 /
- 多目标优化 /
- 节点休眠 /
- TOPSIS
Abstract: A new network deployment algorithm is proposed for the problem of low network lifetime and low network coverage of underwater sensor networks. Firstly, the node which has a higher network coverage redundancy should be asleep. Then the network coverage and energy consumption will be set as the objective functions. And the multi-objective optimization algorithm will be adopted to optimize it. At last, the TOPSIS is used to select the best solution from the Non-dominated solution set. If any node is dead, the sleeping nodes in the near dead node will be waken up to preserve the coverage. The results demonstrate that the proposed algorithm outperform the existing algorithms in terms of various performance metrics including energy consumption and the coverage.
- Underwater Wireless Sensor Network (UWSN) /
- Multi-objective optimization /
- Node dormancy /
- TOPSIS

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参考文献(28)

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