【作者】 武涛； 应怀樵； 李旭杰； 简献忠；

【Author】 Wu Tao;Ying Huaiqiao;Li Xujie;Jian Xianzhong;Electrical Engineering College,University of Shanghai for Science and Technology;Oriental Institute of Vibration and Noise Technology;

【机构】 上海理工大学光电信息与计算机工程学院； 东方振动和噪声技术研究所；

【摘要】 针对传统的DV-Hop无线传感器网络节点定位误差较大的缺点,本文利用已知锚节点的坐标计算出实际锚节点间的距离对DV-Hop算法估计的平均每跳距离进行修正,用来提高测距精度,然后将节点定位问题转化为数学约束问题,同时将改进的蜂群算法用于后期节点定位的目标函数寻优中,将适应度最好的点作为节点的位置坐标,用来提高定位精度,最后通过仿真验正本文所提方法相对传统DV-Hop定位算法定位精度有明显的提高。更多还原

【Abstract】 Aiming at the shortcomings of the traditional node positioning error of DV-Hop wireless sensor network, this paper uses the coordinates of the known anchor nodes to calculate the distance between the actual anchor nodes and corrects the average hop distance estimated by the DV-Hop algorithm. Ranging accuracy, then the node positioning problem is transformed into a mathematical constraint problem, while the improved bee colony algorithm is used in the optimization of the objective function in the late node positioning, and the best fitness point is used as the node’s position coordinates, which is used to improve Positioning accuracy, and finally through the simulation and verification of the method proposed in this paper compared to the traditional DV-Hop positioning algorithm has significantly improved the positioning accuracy.更多还原