Coverage Optimization of Field Observation Instrument Networking Based on an Improved ABC Algorithm

作     者：Xingyue Deng Jiuyuan Huo Ling Wu 

作者机构：School of Electronic and Information EngineeringLanzhou Jiaotong UniversityLanzhou 730070People’s Republic of China Lanzhou Ruizhiyuan Information Technology Co.LTDLanzhou 730070People’s Republic of China 

出 版 物：《国际计算机前沿大会会议论文集》 (International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）)

年 卷 期：2022年第2期

页      面：298-306页

学科分类：0401[教育学-教育学] 04[教育学] 

基　　金：supported by the National Nature Science Foundation of China (Grant No.61862038) Gansu Province Science and Technology Program-Innovation Fund for Small and Medium-sized Enterprises (21CX6JA150) the Lanzhou Talent Innovation and Entrepreneurship Technology Plan Project (2021-RC-40) the Foundation of a Hundred Youth Talents Training Program of Lanzhou Jiaotong University 

主　　题：Field observation instrument networking Wireless sensor network ABC algorithm Coverage optimization 

摘      要：The severe conditions of cold and arid areas seriously affect the progress of data collection and analysis for field observation ***,this study adopted the modified artificial bee colony(ABC)algorithm to optimize the coverage of nodes and designed an energy-efficient node coverage optimization *** the coverage optimization,the coverage rate and the number of working nodes are considered comprehensively,and the fitness value calculation is *** experimental results reveal that the modified ABC algorithm has better coverage optimization performance than the original ABC algorithm,genetic algorithm(GA),and particle swarm optimization(PSO)algorithm.