一种基于误差距离加权与跳段算法选择的遗传优化DV-Hop定位算法

针对Distance Vector-Hop (DV-Hop) 定位算法存在较大定位误差的问题，该文提出了一种基于误差距离加权与跳段算法选择的遗传优化DV-Hop定位算法，即WSGDV-Hop定位算法。改进算法用基于误差与距离的权值处理锚节点的平均每跳距离；根据判断的位置关系选择适合的跳段距离计算方法；用改进的遗传算法优化未知节点坐标。仿真结果表明，WSGDV-Hop定位算法的性能明显优于Distance Vector-Hop (DV-Hop) 定位算法，减小了节点定位误差、提高了算法定位精度。

Genetic Optimization DV-Hop Localization Algorithm Based on Error Distance Weighted and Hop Algorithm Selection

For the problem of larger location error in Distance Vector-Hop (DV-Hop) localization algorithm, a genetic optimization DV-Hop localization algorithm based on error distance weighted and hop algorithm selection is proposed, namely WSGDV-Hop localization algorithm. The average every hop distance of anchor nodes is weighted by the error and the distance, the hop distance calculation method between unknown nodes to anchor nodes is selected by position judgment, and the calculated unknown nodes coordinates are optimized by improved genetic algorithm. The simulation results show that WSGDV-Hop localization algorithm achieves better performance than DV-Hop localization algorithm, the node location error is reduced, and the location accuracy is increased.