一种改进的无线传感器网络DV-Hop定位算法在煤矿井下漏电事故中的应用

发布时间：2018-05-31 13:33

本文选题：无线传感器网络 + 故障定位　；参考：《传感技术学报》2014年10期

【摘要】：煤矿井下输电线路的实时监测中,漏电故障定位是供电系统保护的重要研究课题。针对井下无线传感器网络定位算法存在不准确的问题,提出了一种改进DV-Hop节点定位算法。首先通过计算锚节点组成的三角形面积,排除面积极小的锚节点组,避免锚节点近似共线的情况,完成了锚节点的优选方案;此外在粒子群算法的基础上结合遗传算法和混沌理论,提出了一种遗传混沌粒子群优化算法;最后利用改进的粒子群算法对DV-Hop算法定位得到的节点位置进行校正。经过仿真实验表明在相同的网络环境下,与传统DV-Hop算法相比,改进算法能够更有效地提高定位精度,从而更加准确地监测到煤矿井下漏电事故位置。
[Abstract]:In the real-time monitoring of underground transmission line in coal mine, leakage fault location is an important research topic of power supply system protection. Aiming at the inaccurate localization algorithm of underground wireless sensor networks, an improved DV-Hop node localization algorithm is proposed. Firstly, by calculating the triangular area of anchor nodes, eliminating the group of anchor nodes with minimal area, avoiding the condition that anchor nodes are close to collinear, the optimal selection scheme of anchor nodes is completed. In addition, a genetic chaos particle swarm optimization algorithm is proposed based on the genetic algorithm and chaos theory. Finally, the improved particle swarm optimization algorithm is used to correct the location of nodes obtained by DV-Hop algorithm. Simulation results show that in the same network environment, compared with the traditional DV-Hop algorithm, the improved algorithm can improve the positioning accuracy more effectively, thus more accurately monitoring the location of underground leakage accidents.
【作者单位】：辽宁工程技术大学电气与控制工程学院;
【基金】：辽宁省创新团队项目(LT2010047)
【分类号】：TP212.9;TN929.5

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