HUBEI AGRICULTURAL SCIENCES ›› 2022, Vol. 61 ›› Issue (21): 176-182.doi: 10.14088/j.cnki.issn0439-8114.2022.21.033

• Information Engineering • Previous Articles     Next Articles

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

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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