A Deployment Strategy for Communication Nodes of Intelligent Agriculture Under 5G Background

被引：0
|
作者：
Liu H. [1 ]
Li J. [2 ]
Lu X. [1 ]
机构：
[1] School of Information and Communication Engineering, North University of China, Taiyuan
[2] School of Electrical and Control Engineering, North University of China, Taiyuan
来源：
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2020年 / 54卷 / 10期
关键词：
Communication node; Intelligent agriculture; Moth flame optimization; Node deployment; Sensor network; Voronoi diagram;
D O I：
10.7652/xjtuxb202010006
中图分类号：
学科分类号：
摘要：
A node optimal deployment strategy based on the combination of Voronoi diagram (VD) and moth flame optimization (MFO) algorithm is proposed to solve the problems of high energy consumption, high cost and node disconnection existing in the traditional random deployment of large-scale intelligent agricultural sensor network communication nodes in 3D space under the background of 5G. Firstly, a hierarchical communication scheme is designed based on the high bandwidth of 5G communication. Then, an optimal deployment model of hierarchical nodes, a communication energy consumption model and a full connectivity model of sensor information transmission network are established. Secondly, a guided search algorithm (VIMFO) based on 3D VD is designed to overcome the defects of MFO in the randomness of population generation and search undirectivity. Finally, the deployment location of communication nodes in sensor networks is obtained by optimizing the relevant models. Simulation results and a comparison with the classical MFO algorithm show that the proposed algorithm improves the optimization speed by 37.89%, and reduces the energy consumption of sensor communication network by 6.9%, and that the lifetime of communication network nodes is improved on the premise of ensuring the full connectivity of farmland sensor communication network nodes. © 2020, Editorial Office of Journal of Xi'an Jiaotong University. All right reserved.
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页码：45 / 53
页数：8
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