A node coverage algorithm for a wireless-sensor-network-based water resources monitoring system

被引:7
|
作者
Lv, Xue [1 ]
Li, Hongsheng [1 ]
Li, Hui [2 ]
机构
[1] Wuhan Univ Technol, Sch Mech & Elect Engn, 122 LuoShi Rd, Wuhan 430070, Hubei, Peoples R China
[2] Huaihai Inst Technol, Dept Comp Sci, Lianyungang 222005, Jiangsu, Peoples R China
来源
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2017年 / 20卷 / 04期
关键词
Wireless sensor; Water resources monitoring; Node coverage; Probabilistic sensing;
D O I
10.1007/s10586-017-0989-y
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The application of wireless sensor network can achieve real-time monitoring of the underwater environment. Nodes must be effectively deployed in the targeted monitoring area to gain full coverage of the resources in a monitored area of water. However, the variability of flowing water is likely to cause a delay in the transmission of the resource data. Node mobility also requires the use of a more advanced algorithm in the coverage control method of the WSN. What type of methods or measures should be used to deploy mobile sensor nodes to effectively meet the requirement of water resource monitoring tasks and realize the full coverage of water resources, thereby improving the monitoring quality? Moreover, how can the coverage capacity of mobile sensor nodes be improved in water resource monitoring? These are pressing research issues to resolve. This study proposes the deployment of an algorithm for an improved sensor network k-coverage based on probabilistic sensing; maximum weight matching is introduced to realize a centralized allocation strategy, which can effectively reduce the energy consumed in node allocation. The coverage results obtained in a simulation were higher than those of the event probability and the energy-efficient coverage algorithms. The energy consumed during sensor node movement was lower than that with the latter two approaches, indicating that the network node coverage algorithm based on probabilistic sensing that is proposed in this study can effectively meet the requirements for the application of WSNs in water resource monitoring.
引用
收藏
页码:3061 / 3070
页数:10
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