群体智能和移动信标改进的DV-Hop算法  

Swarm Intelligence and Mobile Beacon Improved DV-Hop Algorithm

作　　者：陈志国[1] 傅毅[1] 须文波[1] 孙俊[1] 

机构地区：[1]轻工过程先进控制教育部重点实验室江南大学物联网工程学院,江苏无锡214122

出　　处：《仪表技术与传感器》2013年第12期112-115,共4页Instrument Technique and Sensor

基　　金：中央高校基本科研业务费专项资金(JUSRP111A46);国家自然科学基金(61170119)

摘　　要：为了提高DV-Hop算法的性能,提出结合群体智能和移动信标的改进方法。首先提出一种最佳维变异的粒子群优化算法(Best Dimension Mutation Particle Swarm Optimization,BDMPSO),然后用BDMPSO算法校正DV-Hop算法的定位误差,最后用移动信标降低系统开销。仿真结果表明提出的算法性能稳定,提高了定位精度并降低了开销。In order to improve the performance of DV-Hop algorithm,an improved algorithm based on swarm intelligence and mobile beacon was proposed. Firstly the improved BDMPS0 （best dimension mutation particle swarm optimization）algorithm was proposed. Secondly the proposed algorithm was used to correct the positioning errors of DV - Hop algorithm. Thirdly, the mobile beacon was used to reduce the system energy consumption. The simulation results show that the improved DV - Hop algorithm is stable, and it can enhance the positioning accuracy and reduce the system energy consumption.

关 键 词：群体智能 DV-HOP算法 移动信标 定位误差 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]