摘要
为解决存在障碍物的三维空间下RFID读写器网络规划问题,对目标空间进行离散化处理,以标签覆盖率和读写器间干扰程度为优化目标构建部署优化模型。针对标准萤火虫算法易陷入局部最优解的缺陷,提出一种基于模拟退火机制的萤火虫算法来优化读写器在空间中的位置和方向。仿真结果表明,该算法比标准萤火虫算法、粒子群算法和遗传算法在寻优能力上具有更好的性能,验证了其有效性和优越性。
To solve the problem of RFID reader network planning in three-dimensional space with obstacles,an optimization model for tag coverage and interference between readers was proposed under discrete objective space.Aiming at the defect that standard firefly algorithm(FA)is easy to plunges into local optimum,a FA based on simulated annealing mechanism was designed to optimize the position and direction of readers.The simulation results show that the improved FA has better performance than the standard FA,particle swarm optimization(PSO)algorithm and genetic algorithm(GA)in optimization capability.The effectiveness and superiority of the improved FA is verified.
作者
张蓉
郭宇
黄少华
葛妍娇
王益聪
ZHANG Rong;GUO Yu;HUANG Shao-hua;GE Yan-jiao;WANG Yi-cong(College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处
《计算机工程与设计》
北大核心
2019年第10期2731-2735,2772,共6页
Computer Engineering and Design
基金
国家自然科学基金项目(51575274)
南京航空航天大学研究生创新基地开放基金项目(KFJJ20170525)
国防基础科研重点基金项目(JCKY2016605B006)
江西省重点研发计划基金项目(20161ACE50004)
