【摘要】：無線傳感器網絡的節(jié)點在硬件及軟件的功能、內存、能源供應等方面的設計局限,容易造成節(jié)點故障、降低或失去監(jiān)控能力。因此,對節(jié)點進行故障檢測,故障隔離或數據恢復,對提高網絡運行可靠性和安全性有重要意義。本文提出有效的無線傳感器網絡節(jié)點故障診斷方法,具體內容如下:首先,提出一種傳感器節(jié)點故障診斷模型—LSI-BM。該模型依據節(jié)點數據的時間關聯(lián)性,建立基于向量混合積的異常數據診斷準則和貝葉斯原理的節(jié)點信任值評估方法。此外,對于故障節(jié)點缺失的數據,利用Hausdorff距離度量變量的相似度,為避免故障節(jié)點的數據對最終結果的影響,提出一種基于節(jié)點信任值加權的數據恢復方法。仿真結果表明LSI-BM模型能有效診斷出異常數據和故障節(jié)點,并且數據恢復方法實現(xiàn)有效的數據填補。其次,為提高節(jié)點在大規(guī)模網絡中能量使用效率,通過改進不均等分簇(EEUC)協(xié)議中節(jié)點競選半徑和簇頭的選擇機制,提出基于不均等分層分簇的網絡優(yōu)化協(xié)議—UHC。此外,針對隨機數機制可能造成競選節(jié)點分布不確定問題,對節(jié)點隨機數的閾值進行調整,不再是一個固定的數值。最后通過計算機仿真實驗,比較了基于UHC協(xié)議和EEUC協(xié)議的網絡分簇效果,仿真結果表明UHC協(xié)議有效降低簇內節(jié)點密度,延長網絡使用壽命,并且簇頭分布呈現(xiàn)一定規(guī)律性。
[Abstract]:Wireless sensor network nodes in hardware and software functions, memory, energy supply and other aspects of the design limitations, easy to cause node failures, reduce or lose the ability to monitor. Therefore, the node fault detection, fault isolation or data recovery is of great significance to improve the reliability and security of network operation. In this paper, an effective node fault diagnosis method for wireless sensor networks is proposed. The main contents are as follows: firstly, a sensor node fault diagnosis model, LSI-BM., is proposed. Based on the temporal correlation of node data, this model establishes an anomaly data diagnosis criterion based on vector mixed product and a node trust evaluation method based on Bayesian principle. In addition, using Hausdorff distance to measure the similarity of variables, in order to avoid the influence of the fault node data on the final result, a data recovery method based on the node trust value weighted is proposed for the missing data of the fault node. The simulation results show that the LSI-BM model can effectively diagnose the abnormal data and fault nodes, and the data recovery method can effectively fill the data. Secondly, in order to improve the energy efficiency of nodes in large-scale networks, by improving the selection mechanism of race radius and cluster head of nodes in unequal clustering (EEUC) protocol, a network optimization protocol-UHC. based on unequal hierarchical clustering is proposed. In addition, because the random number mechanism may cause the uncertain distribution of the election nodes, the threshold of the random number of the nodes is adjusted, which is no longer a fixed value. Finally, the network clustering effect based on UHC protocol and EEUC protocol is compared by computer simulation experiment. The simulation results show that the UHC protocol can effectively reduce the density of nodes in the cluster, prolong the service life of the network, and the cluster head distribution has a certain regularity.
【學位授予單位】：西安電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP212.9;TN929.5

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本文編號：2439075