摘要
为了提高无线传感器网络的节点定位精度并降低系统开销,提出了一种新的移动信标改进的DV-Hop算法。首先提出了一种最佳维改进的量子粒子群优化算法(best dimension quantum-behaved particle swarm optimization,BDQPSO),然后在DV-Hop算法的第三阶段采用BDQPSO算法校正DV-Hop算法获得的节点位置,最后用基于虚拟力的静态和动态路径相结合的移动信标路径算法降低系统开销。仿真实验结果表明,提出的改进算法性能稳定,能显著降低DV-Hop算法的定位误差和系统开销。
To improve the node positioning accuracy and energy consumption of wireless sensor network, a new improved DV Hop algorithm based on mobile beacon is proposed. Firstly an improved QPSO algorithm based on best-dimensional technology, namely BDOPSO, is proposed. Secondly the proposed algorithm is used to correct the errors during the third stage of DV-Hop algorithm. Thirdly, the combination of static and dynamic path algorithm of mobile beacon based on virtual force is used to reduce the system energy consumption. The simulation results show that the improved algorithm is stable, and it effectively decreases the positioning error of the DV-Hop algorithm and reduces the system energy consumption.
出处
《计算机工程与设计》
CSCD
北大核心
2013年第12期4094-4098,共5页
Computer Engineering and Design
基金
国家自然科学基金项目(61170119)
