摘要
传感器节点定位技术是无线传感器网络(WSN)的核心技术之一。文中针对DV-Hop传感器定位算法在定位过程中产生累积误差的问题,首先提出改进的DV-Hop算法修正DV-Hop算法中的平均跳距,然后应用Cuckoo(布谷鸟)搜索算法进一步减少传感器节点定位的误差,最后采用仿真实验对其性能进行测试。仿真实验结果表明,文中所提出的混合算法,与纯DV-Hop算法相比,不但使用更少锚节点节省硬件成本,而且定位精度较高。混合算法能够达到理想的定位精度与效果,具有较高的实用价值。
The sensor node positioning is the supportive technology in Wireless Sensor Network（ WSN）. DV- Hop algorithm has the accumulative errors during the sensor positioning procedure. In view of this problem,first an improved DV- Hop algorithm is presented to correct the distance of the average hop in DV- Hop algorithm,then introduce Cuckoo searching algorithm to optimize the sensor node positioning errors,and finally apply simulation experiment to test the performance. The simulation experimental results illustrate that the proposed algorithm not only uses the less anchor nodes to save the hardware cost,but also increases the sensor positioning precisions compared with DV- Hop algorithm. The proposed algorithm can obtain ideal positioning accuracy and effect with high practical value.
出处
《计算机技术与发展》
2014年第12期208-211,共4页
Computer Technology and Development
基金
河南省重点科技攻关项目(132102210443)
平顶山市科技创新人才计划项目
平顶山学院青年科研基金资助项目(20120016)
