本文選題：無線傳感器網(wǎng)絡(luò) + 故障定位�。� 參考：《傳感技術(shù)學(xué)報》2014年10期

【摘要】：煤礦井下輸電線路的實時監(jiān)測中,漏電故障定位是供電系統(tǒng)保護(hù)的重要研究課題。針對井下無線傳感器網(wǎng)絡(luò)定位算法存在不準(zhǔn)確的問題,提出了一種改進(jìn)DV-Hop節(jié)點(diǎn)定位算法。首先通過計算錨節(jié)點(diǎn)組成的三角形面積,排除面積極小的錨節(jié)點(diǎn)組,避免錨節(jié)點(diǎn)近似共線的情況,完成了錨節(jié)點(diǎn)的優(yōu)選方案;此外在粒子群算法的基礎(chǔ)上結(jié)合遺傳算法和混沌理論,提出了一種遺傳混沌粒子群優(yōu)化算法;最后利用改進(jìn)的粒子群算法對DV-Hop算法定位得到的節(jié)點(diǎn)位置進(jìn)行校正。經(jīng)過仿真實驗表明在相同的網(wǎng)絡(luò)環(huán)境下,與傳統(tǒng)DV-Hop算法相比,改進(jìn)算法能夠更有效地提高定位精度,從而更加準(zhǔn)確地監(jiān)測到煤礦井下漏電事故位置。
[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.
【作者單位】： 遼寧工程技術(shù)大學(xué)電氣與控制工程學(xué)院;
【基金】：遼寧省創(chuàng)新團(tuán)隊項目(LT2010047)
【分類號】：TP212.9;TN929.5

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相關(guān)期刊論文 前10條

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本文編號：1959897