本文選題：隨機網(wǎng)絡(luò) + 分布式�。� 參考：《科學(xué)技術(shù)與工程》2017年26期

【摘要】：隨機網(wǎng)絡(luò)不確定性高,較為復(fù)雜,當(dāng)前節(jié)點定位算法無法準(zhǔn)確對隨機網(wǎng)絡(luò)中分布式節(jié)點進行準(zhǔn)確定位,且適應(yīng)性差。為此,提出一種新的基于標(biāo)記傳遞的隨機網(wǎng)絡(luò)中分布式節(jié)點高精度自定位算法,標(biāo)記傳遞算法將隨機網(wǎng)絡(luò)中的分布式節(jié)點用有標(biāo)記數(shù)據(jù)和無標(biāo)記數(shù)據(jù)進行描述,依據(jù)節(jié)點間的相似度將節(jié)點標(biāo)記傳遞至其相鄰節(jié)點。對節(jié)點定位問題進行描述,介紹了標(biāo)記傳遞算法,在此基礎(chǔ)上通過標(biāo)記傳遞算法對隨機網(wǎng)絡(luò)中分布式節(jié)點進行高精度自定位,定位過程主要分為離線訓(xùn)練階段與在線自定位階段,給出定位詳細(xì)實現(xiàn)過程,對定位結(jié)果進行濾波處理。實驗結(jié)果表明,所用所提算法對隨機網(wǎng)絡(luò)中分布式節(jié)點進行自定位,定位精度高,適應(yīng)性強。
[Abstract]:Because of the high uncertainty and complexity of stochastic networks, the current node localization algorithms can not accurately locate distributed nodes in random networks, and the adaptability is poor. In this paper, a new high-precision self-localization algorithm for distributed nodes in random networks based on label transfer is proposed, which describes the distributed nodes in random networks with labeled data and unmarked data. According to the similarity between nodes, the node markers are passed to its adjacent nodes. In this paper, the problem of node localization is described, and the label transfer algorithm is introduced. The localization process is mainly divided into off-line training stage and on-line self-positioning stage. The detailed realization process of location is given, and the location results are filtered. The experimental results show that the proposed algorithm can locate the distributed nodes in random networks with high accuracy and adaptability.
【作者單位】： 鄭州工業(yè)應(yīng)用技術(shù)學(xué)院機電工程學(xué)院;
【基金】：河南省科技廳重點科研項目(162102210315)資助
【分類號】：O157.5
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本文編號：1797839