【摘要】 针对无线传感器网络节点定位中DV-Hop算法定位精度较低的问题,提出了一种改进DV-Hop算法,该算法引入跳距误差加权策略,改进平均每跳距离计算方法,使其更好地反映网络的平均每跳距离的实际情况,有效地降低了无线传感器网络中无需测距算法的定位误差。同时引入自适应粒子群优化算法来校正改进DV-Hop的估计位置的方法。仿真结果表明,本算法在定位精度和节点覆盖率上明显优于基于PSO校正的DV--Hop算法和传统的DV-Hop算法,证明该算法在一定程度上提高了DV-Hop算法对无线传感器网络的容错性,具有更好的适用性。更多还原

【Abstract】 In order to overcome the disadvantage of lower positioning accuracy of DV-Hop algorithm for node localization in wireless sensor networks,the paper proposes an improved DV-Hop algorithm that introduce hopping distance error-weighted strategy to improve the calculation method of the average hop distance,which make it better reflect the actual situation and effectively reduces the positioning error of the range-free algorithm.At the same time,it introduces the adaptive particle swarm optimization algorithm to correct the estimated position.Computer simulation show that,compared with the DV-Hop algorithm based on PSO correction and DV-Hop,this algorithm has better performance in positioning accuracy and node coverage,and they show that it improve the fault tolerance of DV-Hop algorithm to a certain extent and has better applicability.更多还原