本文選題：隨機網(wǎng)絡 + 分布式��； 參考：《科學技術與工程》2017年26期

【摘要】：隨機網(wǎng)絡不確定性高,較為復雜,當前節(jié)點定位算法無法準確對隨機網(wǎng)絡中分布式節(jié)點進行準確定位,且適應性差。為此,提出一種新的基于標記傳遞的隨機網(wǎng)絡中分布式節(jié)點高精度自定位算法,標記傳遞算法將隨機網(wǎng)絡中的分布式節(jié)點用有標記數(shù)據(jù)和無標記數(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,介紹了標記傳遞算法,在此基礎上通過標記傳遞算法對隨機網(wǎng)絡中分布式節(jié)點進行高精度自定位,定位過程主要分為離線訓練階段與在線自定位階段,給出定位詳細實現(xiàn)過程,對定位結果進行濾波處理。實驗結果表明,所用所提算法對隨機網(wǎng)絡中分布式節(jié)點進行自定位,定位精度高,適應性強。
[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)應用技術學院機電工程學院;
【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