Path coverage enhancement in wireless sensor networks based on CVT model

Article type: Research Article

Authors: Yu, Guangxu^{; *}

Affiliations: School of Computer Engineering, Henan Institute of Economics and Trade, Zheng Zhou 450018, China. E-mail: uiongguang@sina.com

Correspondence: [*] Corresponding author. E-mail: uiongguang@sina.com.

Abstract: In order to overcome the problems of low detection probability, low coverage uniformity and low coverage of current path coverage enhancement methods in wireless sensor networks, a new path coverage enhancement method based on CVT model is proposed in this paper. Firstly, the node perception model and network coverage model are constructed. On the basis of the node awareness model and network coverage model, CVT model is used to adjust the connection mode, density and location of nodes in wireless sensor networks, so as to improve the coverage performance of nodes in the detection area in wireless sensor networks, and realize the effective enhancement of path coverage in wireless sensor networks. Experimental results show that, compared with the traditional methods, the proposed method has high detection probability, high coverage uniformity and coverage rate, and the highest coverage rate reaches 97%, which has higher practical application performance.

Keywords: CVT model, wireless sensor network, node awareness, coverage performance

DOI: 10.3233/WEB-210455

Journal: Web Intelligence, vol. 19, no. 1-2, pp. 13-25, 2021