本文選題：無線傳感器網(wǎng)絡　切入點：證據(jù)理論　出處：《北京交通大學》2017年碩士論文　論文類型：學位論文

【摘要】：隨著無線傳感器網(wǎng)絡技術(shù)的飛速發(fā)展和廣泛應用,傳感器網(wǎng)絡的感知數(shù)據(jù)大量增加,如何實現(xiàn)傳感網(wǎng)中的數(shù)據(jù)融合,以降低數(shù)據(jù)傳輸通信量、節(jié)約傳感器節(jié)點耗能、延長WSNs工作壽命、提升數(shù)據(jù)處理精度成為目前無線傳感器網(wǎng)絡領(lǐng)域內(nèi)的熱點研究課題之一。論文首先對無線傳感器網(wǎng)絡決策融合問題以及證據(jù)理論基礎(chǔ)知識進行了介紹,進而重點研究了 D-S證據(jù)理論在無線傳感器網(wǎng)絡多源數(shù)據(jù)融合過程中的若干關(guān)鍵問題。論文的研究工作得到了國家自然科學基金項目、北京市自然科學基金項目和高等學校博士學科點專項科研基金的支持。論文主要工作如下:(1)針對WSNs中故障節(jié)點檢測問題,提出了一種基于傳感器節(jié)點之間"測量值距離"的信度構(gòu)建策略。在故障節(jié)點檢測問題上,傳統(tǒng)的BBA構(gòu)建方法大多采用的是基于通信或讀數(shù)是否正常的"次數(shù)"來建立,存在對未知信息利用不充分的缺點。本文提出的信度構(gòu)建策略采用傳感器與鄰居節(jié)點之間的讀數(shù)距離作為被測目標與樣本數(shù)據(jù)間的距離計算方法,很好地利用了證據(jù)理論能夠處理"不知道"信息的優(yōu)點,并將傳感器周圍環(huán)境因素考慮進去,可有效地排除傳感器受環(huán)境影響而產(chǎn)生暫歇性故障的類型,使得融合結(jié)果更為準確。論文還對其進行了仿真驗證分析,仿真結(jié)果表明,網(wǎng)絡故障率低于35%的情況下,本文提出的檢測算法在故障檢測率、漏檢率以及誤檢率三個性能指標上所表現(xiàn)出的效果較好。(2)論文提出了一種解決證據(jù)理論融合過程中高沖突性證據(jù)問題的算法,采取"單個證據(jù)源具有不同的可信度"的思想,提出了一種以證據(jù)之間的"沖突量"作為對沖突信息分配的依據(jù)對沖突信息進行重新分配,將一部分沖突信息分配給證據(jù)的焦元,其余的分配給未知項m((?))。在無線傳感器網(wǎng)絡環(huán)境下,相比于已有的沖突處理算法,本文提出的組合規(guī)則具有融合過程收斂速度快、數(shù)據(jù)傳輸量更低、計算復雜度小的特點。論文采用了公式推導以及實例仿真的方法對新組合規(guī)則的正確性及功能性進行了驗證分析,結(jié)果表明,本文提出的組合規(guī)則符合D-S證據(jù)理論的定義及性質(zhì),且其在融合收斂速度以及融合效果上都優(yōu)于傳統(tǒng)組合算法,并且本文算法具有更低的計算復雜度。論文的最后對研究成果進行了總結(jié),并對后續(xù)的研究方向進行了展望。
[Abstract]:With the rapid development and wide application of wireless sensor network (WSN) technology, the perceptual data of sensor network is increasing greatly. How to realize data fusion in sensor network in order to reduce the amount of data communication and save the energy consumption of sensor nodes. Extending the working life of WSNs and improving the precision of data processing have become one of the hot research topics in the field of wireless sensor networks. Firstly, the decision fusion problem of wireless sensor networks and the basic knowledge of evidence theory are introduced in this paper. Furthermore, some key problems of D-S evidence theory in the process of multi-source data fusion in wireless sensor networks are studied. The research work of this paper has been carried out by the National Natural Science Foundation of China. The main work of this paper is as follows: (1) aiming at the problem of fault node detection in WSNs, In this paper, a reliability construction strategy based on the distance between sensor nodes is proposed. In the problem of fault node detection, most of the traditional BBA construction methods are based on whether the communication or reading is normal or not. The reliability construction strategy proposed in this paper uses the reading distance between sensor and neighbor node as the distance calculation method between the measured target and the sample data. It makes good use of the advantage of evidence theory to deal with the "unknown" information and take into account the environmental factors around the sensor, which can effectively eliminate the type of transient fault caused by the sensor being affected by the environment. The simulation results show that when the network failure rate is less than 35%, the detection algorithm proposed in this paper has a fault detection rate. This paper proposes an algorithm to solve the problem of high conflict evidence in the process of evidence theory fusion, which adopts the idea that "single evidence source has different credibility". In this paper, a new method of redistributing the conflict information based on the "conflict quantity" between the evidence is proposed, which distributes part of the conflict information to the focal element of the evidence, and the rest to the unknown item. In the wireless sensor network environment, compared with the existing conflict processing algorithms, the proposed combination rules have the advantages of fast convergence speed and lower data transmission. The method of formula derivation and example simulation is used to verify and analyze the correctness and functionality of the new combination rule. The results show that, The combination rule proposed in this paper accords with the definition and property of D-S evidence theory, and it is superior to the traditional combination algorithm in convergence speed and fusion effect. And this algorithm has lower computational complexity. Finally, the research results are summarized, and the future research direction is prospected.
【學位授予單位】：北京交通大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP212.9;TN929.5

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