湖北农业科学 ›› 2022, Vol. 61 ›› Issue (21): 176-182.doi: 10.14088/j.cnki.issn0439-8114.2022.21.033

• 信息工程 • 上一篇    下一篇

基于飞蛾扑火算法和维诺图理论的智慧农业通信节点部署策略

常瑞莉   

  1. 青海建筑职业技术学院,西宁 810012
  • 收稿日期:2022-08-24 出版日期:2022-11-10 发布日期:2022-12-10
  • 作者简介:常瑞莉(1983-),女,青海西宁人,副教授,硕士,主要从事通信技术方面的研究,(电话)18162561162(电子信箱)540693093@qq.com。

Deployment strategy of intelligent agricultural communication nodes based on moth-flame optimization algorithm and voronoi graph theory

CHANG Rui-li   

  1. Qinghai College of Architectural Technology,Xining 810012,China
  • Received:2022-08-24 Online:2022-11-10 Published:2022-12-10

摘要: 针对5G背景下大规模智慧农业传感器网络通信节点在三维空间内部署时,考虑到免费节点传输方式存在的耗电、成本高、断线等问题,智慧农业通信的通信节点被发送到基于5G技术的三维空间。基于 Voronoi (VD) 设计和考虑的飞蛾扑火算法,通过对相关模型进行优化求解,从而取得传感器网络通信节点的部署位置。首先,利用5G带宽的大容量,设计了分层通信方案。针对VIMFO随机化种群生成算法和无方向搜索的缺点,设计了一种基于三维VD的引导搜索算法(VIMFO);最后,设计了高效的模型来获取传感器网络的通信节点、分布位置。仿真结果表明,与MFO算法相比,VIMFO算法可将速度提高37.89%,在保证所有智慧农业通信网络节点连通的原则下,提高通信网络节点的生存周期。

关键词: 智慧农业, 通信节点, 传感器网络, 节点部署, 飞蛾扑火算法, 维诺图

Abstract: In view of the deployment of large-scale intelligent agricultural sensor network communication nodes in three-dimensional space under the background of 5G, considering the problems of power consumption, high cost and disconnection of free node transmission mode, the communication nodes of intelligent agricultural communication were sent to three-dimensional space based on 5G technology. Based on the Voronoi (VD) design and considered moth-flame optimization algorithm, the deployment location of sensor network communication nodes was obtained by optimizing the relevant model. Firstly, the layered communication scheme was designed by using the large capacity of 5G bandwidth. Aiming at the disadvantages of MFO random population generation algorithm and directionless search, a guided search algorithm (VIMFO) based on 3D VD was designed. Finally, an efficient model was designed to obtain the communication nodes and distribution locations of the sensor network. The simulation results showed that compared with MFO algorithm, VIMFO algorithm could increase the speed by 37.89%, and improve the life cycle of communication network nodes under the principle of ensuring the connectivity of all intelligent agricultural communication network nodes.

Key words: smart agriculture, communication node, sensor network, node deployment, moth-flame optimization algorithm, voronoi graph

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