本文選題：安全定位算法 + 接收信號(hào)強(qiáng)度��； 參考：《南京郵電大學(xué)》2017年碩士論文

【摘要】：在傳統(tǒng)的無(wú)線傳感器網(wǎng)絡(luò)(WSN)定位技術(shù)中,基于接收信號(hào)強(qiáng)度(RSS)的定位技術(shù)實(shí)現(xiàn)簡(jiǎn)單,受到學(xué)術(shù)界和工業(yè)界的高度關(guān)注。將壓縮感知理論應(yīng)用到WSN定位中可以有效減少RSS測(cè)量值數(shù)目,同時(shí)具有更好的定位性能。但是在實(shí)際應(yīng)用中RSS測(cè)量值很容易受到物理攻擊。因此本文以基于RSS的壓縮感知定位系統(tǒng)為背景,研究惡意節(jié)點(diǎn)攻擊下的安全定位算法,主要工作包括:(1)總結(jié)了基于壓縮感知的定位算法的國(guó)內(nèi)外研究現(xiàn)狀,詳細(xì)介紹了壓縮感知相關(guān)知識(shí);建立了基于壓縮感知的網(wǎng)絡(luò)定位模型,分析了該定位模型的安全性,說(shuō)明了其安全隱患的由來(lái);并建立了模擬RSS攻擊的線性攻擊模型,為安全定位機(jī)制提供理論支撐。(2)提出了基于平方中位數(shù)法的壓縮感知安全定位算法。該算法利用殘差最小中位數(shù)來(lái)分析檢測(cè)受攻擊節(jié)點(diǎn),有效保證了定位系統(tǒng)的準(zhǔn)確性。同時(shí),本文結(jié)合理論分析和實(shí)驗(yàn)仿真,解決了算法參數(shù)設(shè)計(jì)的問(wèn)題,使用更合理的參數(shù)來(lái)確保算法發(fā)揮最大的抗攻擊性能。(3)提出了基于殘差分析的壓縮感知安全定位算法。首先利用壓縮感知重構(gòu)算法估計(jì)目標(biāo)位置,并計(jì)算本次估計(jì)的目標(biāo)位置對(duì)應(yīng)的殘差向量;然后,利用殘差偏差準(zhǔn)則,找出所有可疑的受攻擊節(jié)點(diǎn)集合,同時(shí)根據(jù)最大殘差準(zhǔn)則確定受攻擊的測(cè)量值;最后,當(dāng)殘差和趨于穩(wěn)定,說(shuō)明所有受攻擊的節(jié)點(diǎn)已經(jīng)被刪除,利用未受攻擊的測(cè)量值進(jìn)行最終位置估計(jì)。仿真實(shí)驗(yàn)表明,在存在惡意節(jié)點(diǎn)攻擊的條件下,本算法能保持很好的定位性能。
[Abstract]:In the traditional wireless sensor network (WSN) localization technology, the location technology based on received signal strength (RSS) is easy to implement, and has been highly concerned by academia and industry. Applying compression sensing theory to WSN localization can effectively reduce the number of RSS measurements and have better localization performance. However, RSS measurement is vulnerable to physical attack in practical applications. Therefore, based on the RSS based compressed sensing localization system, this paper studies the security localization algorithm under malicious node attack. The main work includes: (1) summarize the research status of compressed sensing localization algorithm at home and abroad. The related knowledge of compression perception is introduced in detail, the network location model based on compression perception is established, the security of the location model is analyzed, and the origin of its security hidden danger is explained, and the linear attack model of simulating RSS attack is established. It provides theoretical support for the security localization mechanism. (2) A compressed sensing security location algorithm based on the square median method is proposed. The algorithm uses the minimum median of residual error to analyze and detect the attacked nodes, which effectively ensures the accuracy of the location system. At the same time, combined with theoretical analysis and experimental simulation, this paper solves the problem of algorithm parameter design, using more reasonable parameters to ensure the maximum anti-attack performance of the algorithm. (3) A compressed sensing security location algorithm based on residual analysis is proposed. Firstly, the target location is estimated by the compressed perceptual reconstruction algorithm, and the residual vector corresponding to the target position is calculated. Then, using the residual deviation criterion, the set of all the suspected attacking nodes is found. At the same time, according to the maximum residual error criterion, the measured value of the attack is determined. Finally, when the residual value is stable, it shows that all the attacked nodes have been deleted, and the final position estimation is carried out by using the unattacked measurement value. Simulation results show that the algorithm can maintain good localization performance under the condition of malicious node attack.
【學(xué)位授予單位】：南京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN929.5;TP212.9

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