The severe conditions of cold and arid areas seriously affect the progress of data collection and analysis for field observation instruments.Therefore,this study adopted the modified artificial bee colony(ABC)algorith...The severe conditions of cold and arid areas seriously affect the progress of data collection and analysis for field observation instruments.Therefore,this study adopted the modified artificial bee colony(ABC)algorithm to optimize the coverage of nodes and designed an energy-efficient node coverage optimization method.In the coverage optimization,the coverage rate and the number of working nodes are considered comprehensively,and the fitness value calculation is improved.The 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.展开更多
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)+1 种基金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。
文摘The severe conditions of cold and arid areas seriously affect the progress of data collection and analysis for field observation instruments.Therefore,this study adopted the modified artificial bee colony(ABC)algorithm to optimize the coverage of nodes and designed an energy-efficient node coverage optimization method.In the coverage optimization,the coverage rate and the number of working nodes are considered comprehensively,and the fitness value calculation is improved.The 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.
