【摘要】：無(wú)線傳感網(wǎng)湖泊監(jiān)測(cè)中,節(jié)點(diǎn)位置在一定范圍內(nèi)隨機(jī)漂移,導(dǎo)致定位精度需持續(xù)修正并提高精度。提出最小誤差二次定位估計(jì)算法,初始時(shí)在網(wǎng)絡(luò)中設(shè)定兩組配置有GPS的3個(gè)信標(biāo)節(jié)點(diǎn),利用三邊測(cè)量法對(duì)未知節(jié)點(diǎn)進(jìn)行定位,通過(guò)分析RSSI測(cè)距誤差求出中心點(diǎn),建立兩組測(cè)量坐標(biāo)進(jìn)行定位修正,再使用跳距對(duì)兩組坐標(biāo)測(cè)量結(jié)果進(jìn)行加權(quán)估計(jì),獲得優(yōu)化后的最小誤差節(jié)點(diǎn)定位。對(duì)比常規(guī)的三邊測(cè)量法和FTL算法,通過(guò)仿真驗(yàn)證,該算法在湖泊監(jiān)測(cè)中能有效地減小定位誤差。
[Abstract]:In the lake monitoring of wireless sensor networks, the location of nodes is drifting randomly in a certain range, which leads to the continuous correction of the positioning accuracy and the improvement of accuracy. A minimum error two position estimation algorithm is proposed. In the initial time, two sets of beacon nodes with GPS are set in the network, and the three side measurement method is used to locate the unknown nodes, and the RSSI measurement is analyzed by analysis. The center point is obtained from the distance error, two sets of measurement coordinates are set up to fix the positioning correction, and then the weighted estimation of the results of the two sets of coordinate measurement is carried out with the jump distance, and the minimum error node location after the optimization is obtained. Compared with the conventional three edge measurement and FTL algorithm, the algorithm can effectively reduce the location error in the lake monitoring.
【作者單位】： 昆明理工大學(xué)信息工程與自動(dòng)化學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(No.61262040)
【分類號(hào)】：TN929.5;TP212.9

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本文編號(hào)：2137533