改进DV-Hop定位算法在动物监测中的应用

为了避免无线传感器网络中由于节点在测距精度、时间同步、硬件与功耗等方面代价较高造成整个网络死亡，同时提高定位精度，该文基于饲养场的实际环境，对无线传感器网络中典型的DV-Hop定位算法进行简化和优化改进，通过仿真和实际节点试验对定位误差等性能指标进行评价。研究结果表明：改进算法比原始三边测量算法的定位误差平均减少3.17%，能够监测到实际环境中“行走动物”节点的运动轨迹，且定位平均误差为0.33 m。改进算法不仅不需要GPS等硬件辅助，而且减少了计算开销，节省能耗，提高了定位精度，可以有效应用于实际环境。

Implementation of improved DV-Hop localization algorithm for animal survey

In order to avoid the whole wireless sensor networks (WSN) dead because of the high price of the measure precision, time-synchronization, hardware and power, so as to improve the precision of localization, an improved DV-Hop localization algorithm, which is simpler and better for the typical localization algorithm, is proposed based on the reality environment of breeding field. And its capability of localization error was evaluated by simulate and experiment. The results show that, the localization error of the improved algorithm is 3.17% less than that of the formerly algorithm, can measure the track of the moving sensor nodes as animals, and its average error is 0.33 m between reality position and the tested position. The improved algorithm is not only without any assistance of hardware such as GPS, but also cuts down the price of calculation, economizes the energy of sensor nodes, improves the precision of localization, applies available in the reality environment.