Optimization of Sensors Data Transmission Paths for Pest Monitoring Based on Intelligent Algorithms
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Published:2022-11-01
Issue:11
Volume:12
Page:948
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ISSN:2079-6374
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Container-title:Biosensors
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language:en
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Short-container-title:Biosensors
Author:
Lian Yuyang,
Wang Aqiang,
Peng Sihua,
Jia Jingjing,
Zong Liang,
Yang Xiaofeng,
Li Jinlei,
Zheng Rongjiao,
Yang Shuyan,
Liao Jianjun,
Zhou ShihaoORCID
Abstract
The harm of agricultural pests presents a remarkable effect on the quality and safety of edible farm products and the monitoring and identification of agricultural pests based on the Internet of Things (IoT) produce a large amount of data to be transmitted. To achieve efficient and real-time transmission of the sensors’ data for pest monitoring, this paper selects 235 geographic coordinates of agricultural pest monitoring points and uses genetic algorithm (GA), particle swarm optimization (PSO), and simulated annealing (SA) to optimize the data transmission paths of sensors. The three intelligent algorithms are simulated by MATLAB software. The results show that the optimized path based on PSO can make the shortest time used for transmitting data, and its corresponding minimum time is 4.868012 s. This study can provide a reference for improving the transmission efficiency of agricultural pest monitoring data, provide a guarantee for developing real-time and effective pest control strategies, and further reduce the threat of pest damage to the safety of farm products.
Funder
Hainan Major Science and Technology Projec
Hainan Province Science and Technology Special Fund
Open project of Hainan Key Laboratory for Control of Plant Diseases and Insect Pests
Hunan Provincial Natural Science Foundation
Project of the Administrative Bureau of Sanya Yazhou Bay Science and Technology City
Subject
Clinical Biochemistry,General Medicine,Analytical Chemistry,Biotechnology,Instrumentation,Biomedical Engineering,Engineering (miscellaneous)
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