本文選題：無(wú)線傳感器網(wǎng)絡(luò) + 壞點(diǎn)檢測(cè)��； 參考：《遼寧工程技術(shù)大學(xué)》2015年碩士論文

【摘要】：無(wú)線傳感器網(wǎng)絡(luò)作為一門結(jié)合微型傳感、處理器以及無(wú)線通信等多種技術(shù)的綜合性學(xué)科。它的應(yīng)用范圍非常廣泛,領(lǐng)域涉及軍用和民用,主要包括軍事目標(biāo)跟蹤、交通管理、環(huán)境監(jiān)測(cè)、野外火災(zāi)監(jiān)測(cè)等。特別在一些特殊環(huán)境實(shí)時(shí)監(jiān)測(cè)系統(tǒng)中,它更是發(fā)揮出了不可替代的作用。無(wú)線網(wǎng)絡(luò)中的每一個(gè)相對(duì)獨(dú)立的傳感節(jié)點(diǎn),都是整個(gè)系統(tǒng)必不可少的組成單元,它們的安全運(yùn)行最終決定了整個(gè)檢測(cè)系統(tǒng)的安全性能。在無(wú)線傳感器網(wǎng)絡(luò)的運(yùn)行過(guò)程中,網(wǎng)絡(luò)中的節(jié)點(diǎn)可能面臨來(lái)自多方面的損壞——人為攻擊、各種惡劣天氣因素(酸雨、泥石流等),以及節(jié)點(diǎn)自身能量的限制等,這些因素會(huì)制約節(jié)點(diǎn)正常通訊,使網(wǎng)絡(luò)出現(xiàn)故障。針對(duì)這些無(wú)法預(yù)知的故障,只有進(jìn)行及時(shí)的檢測(cè)、管理,并加以修復(fù),才能確保網(wǎng)絡(luò)能夠正常的運(yùn)行。傳感節(jié)點(diǎn)的故障管理手段之一就是損壞節(jié)點(diǎn)的檢測(cè),即通過(guò)一定的方法將網(wǎng)絡(luò)中已經(jīng)損壞的傳感節(jié)點(diǎn)識(shí)別并剔除出網(wǎng)絡(luò),從而保證網(wǎng)絡(luò)的安全運(yùn)行�，F(xiàn)有的壞點(diǎn)檢測(cè)的算法沒(méi)有充分考慮節(jié)點(diǎn)的能量參數(shù)對(duì)算法的影響,使得部分節(jié)點(diǎn)被錯(cuò)誤的剔除,一定程度上縮短了網(wǎng)絡(luò)的生存周期。本文在研究現(xiàn)有的針對(duì)壞點(diǎn)檢測(cè)算法的基礎(chǔ)上,進(jìn)一步考慮到節(jié)點(diǎn)自身的能量限制以及網(wǎng)絡(luò)運(yùn)行的安全性問(wèn)題,提出了一種以剩余能量信息為核心的壞點(diǎn)檢測(cè)算法。該算法充分考慮了剩余能量對(duì)節(jié)點(diǎn)的制約,增加節(jié)點(diǎn)的能量信息作為判斷節(jié)點(diǎn)是否損壞的條件之一,采用捎帶傳輸機(jī)制將節(jié)點(diǎn)的剩余能量信息傳送到基站；采用多次報(bào)警確認(rèn)機(jī)制減少對(duì)節(jié)點(diǎn)的錯(cuò)誤剔除。實(shí)驗(yàn)仿真的數(shù)據(jù)證明,該算法大大提高了壞點(diǎn)的正確檢測(cè)率,使網(wǎng)絡(luò)的安全性和穩(wěn)定性得到很大改善。
[Abstract]:Wireless sensor network (WSN) is a comprehensive subject which combines micro sensor, processor and wireless communication. It is widely used in military and civilian fields, including military target tracking, traffic management, environmental monitoring, field fire monitoring and so on. Especially in some special environment real-time monitoring systems, it plays an irreplaceable role. Each relatively independent sensor node in wireless network is an essential component unit of the whole system. Their safe operation ultimately determines the security performance of the whole detection system. In the operation of wireless sensor networks, nodes in the network may face damage from various aspects-human attack, various weather factors (acid rain, debris flow, etc.), as well as the energy constraints of nodes themselves, and so on. These factors will restrict the normal communication between nodes and make the network fail. Only through timely detection, management and repair can the network run normally. One of the fault management methods of sensor nodes is the detection of damaged nodes, that is, the sensor nodes that have been damaged in the network are identified and removed from the network by certain methods, so as to ensure the safe operation of the network. The existing bad point detection algorithms do not fully consider the impact of node energy parameters on the algorithm, so that some nodes are error-eliminated, and the lifetime of the network is shortened to a certain extent. On the basis of studying the existing algorithms for the detection of bad points and considering the energy limitation of nodes themselves and the security of network operation, a new algorithm for the detection of bad points with residual energy information as the core is proposed in this paper. The algorithm takes into account the constraint of residual energy to the node and increases the energy information of the node as one of the conditions to judge whether the node is damaged or not. The residual energy information of the node is transmitted to the base station by the piggyback transmission mechanism. The mechanism of multiple alarm and confirmation is used to reduce the error elimination of nodes. The experimental results show that the algorithm greatly improves the detection rate of bad points and improves the security and stability of the network.
【學(xué)位授予單位】：遼寧工程技術(shù)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TP212.9;TN929.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 王焱;單欣欣;姜偉;劉洋;;無(wú)線傳感網(wǎng)絡(luò)壞點(diǎn)識(shí)別研究與應(yīng)用[J];壓電與聲光;2012年03期

2 唐慧強(qiáng);李超;;基于CC2530的鋰電池電量檢測(cè)系統(tǒng)的設(shè)計(jì)[J];化工自動(dòng)化及儀表;2011年03期

3 喬鋼柱;曾建潮;;信標(biāo)節(jié)點(diǎn)鏈?zhǔn)讲渴鸬木聼o(wú)線傳感器網(wǎng)絡(luò)定位算法[J];煤炭學(xué)報(bào);2010年07期

4 徐向華;周彪;萬(wàn)健;;多傳感器網(wǎng)絡(luò)中的分布式故障檢測(cè)算法[J];傳感技術(shù)學(xué)報(bào);2010年04期

5 戴瑩;王建平;張崇巍;;無(wú)線傳感器網(wǎng)絡(luò)節(jié)點(diǎn)定位算法的研究與改進(jìn)[J];傳感技術(shù)學(xué)報(bào);2010年04期

6 鐘幼平;匡興紅;黃佩偉;;Improved Algorithm for Distributed Localization in Wireless Sensor Networks[J];Journal of Shanghai Jiaotong University(Science);2010年01期

7 姚忠孝;俞立;董齊芬;;基于移動(dòng)信標(biāo)的DV-Hop無(wú)線傳感網(wǎng)絡(luò)定位算法[J];傳感技術(shù)學(xué)報(bào);2009年10期

8 劉愛(ài)平;劉忠;梁鑰;周偉;;基于距離的分布式無(wú)線傳感器網(wǎng)絡(luò)定位算法[J];計(jì)算機(jī)應(yīng)用研究;2008年08期

9 楊維;王彬;;礦井巷道層次型無(wú)線監(jiān)測(cè)無(wú)線傳感器網(wǎng)絡(luò)的實(shí)現(xiàn)[J];煤炭學(xué)報(bào);2008年01期

10 劉麗萍;王智;孫優(yōu)賢;;無(wú)線傳感器網(wǎng)絡(luò)部署及其覆蓋問(wèn)題研究[J];電子與信息學(xué)報(bào);2006年09期

，

本文編號(hào)：1963864