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Event-Sensitive Network: A Construction Algorithm of Agricultural Sensor Network Driven by Environmental Change

文献类型： 外文期刊

作者： Xu, Shipu 1 ; Liu, Yong 1 ; Hu, WenWen 1 ; Wu, Yingjing 1 ; Liu, Sijia 3 ; Wang, Yunsheng 1 ; Liu, Chang 4 ;

作者机构： 1.Shanghai Acad Agr Sci, Inst Agr Informat Sci & Technol, Shanghai 201403, Peoples R China

2.Shanghai Engn & Technol Res Ctr Digital Agr, Shanghai 201403, Peoples R China

3.Shanghai Inst Technol, Dept Railway Transportat, Shanghai 201418, Peoples R China

4.Nanchang Hangkong Univ, Sch Informat Engn, Nanchang 330038, Jiangxi, Peoples R China

期刊名称：MATHEMATICAL PROBLEMS IN ENGINEERING （ 影响因子：1.43； 五年影响因子：1.393 ）

ISSN： 1024-123X

年卷期： 2021 年 2021 卷

页码：

收录情况： SCI

摘要： In a wireless sensor network, the sensor nodes transmit the acquired information to the server through the data transmission link. On the serverside, the data are processed, fused, and expressed to serve the user. Sensor deployment is a key factor related to the stability and security of wireless networks. This article uses environmental changes to drive related technologies to deploy wireless sensors. In this article, environmental change-driven means that through certain deployment cost model assumptions and problem descriptions, network deployment is artificially divided into two stages: initial deployment and redeployment. In the deployment phase, by referring to the idea of virtual force, a new sensor deployment algorithm is proposed in the redeployment phase, which can well solve the stability- and security-related issues encountered in agricultural wireless sensor networks. In this algorithm, the moving distance of the mobile receiver and the average coverage of the network are calculated based on the virtual force, the direction, and the number of adjacent clusters. Finally, the algorithm model was simulated in MATLAB, and the feasibility of the algorithm was verified by analyzing the event coverage and the moving distance of nodes. The final simulation results show that the algorithm proposed in this paper can achieve better performance than existing algorithms in terms of average coverage and moving distance.

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