均質(zhì)無線傳感網(wǎng)關(guān)鍵節(jié)點屬性特征及其實證分析.rar
均質(zhì)無線傳感網(wǎng)關(guān)鍵節(jié)點屬性特征及其實證分析,1.2萬字 32頁包括開題報告和任務(wù)書摘要無線傳感器網(wǎng)絡(luò)是能量受限的網(wǎng)絡(luò)，近年來發(fā)表的路由協(xié)議考慮了傳感器節(jié)點的節(jié)能問題，但是未在重要程度不同的節(jié)點之間進(jìn)行區(qū)分。網(wǎng)絡(luò)中普遍存在著連接不同區(qū)域的一些節(jié)點，它們的失效會導(dǎo)致“傳感孤島”與“能量空洞”等現(xiàn)象的出現(xiàn)。相對于其他節(jié)點，這類...
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均質(zhì)無線傳感網(wǎng)關(guān)鍵節(jié)點屬性特征及其實證分析
1.2萬字 32頁
包括開題報告和任務(wù)書
摘要
無線傳感器網(wǎng)絡(luò)是能量受限的網(wǎng)絡(luò)，近年來發(fā)表的路由協(xié)議考慮了傳感器節(jié)點的節(jié)能問題，但是未在重要程度不同的節(jié)點之間進(jìn)行區(qū)分。網(wǎng)絡(luò)中普遍存在著連接不同區(qū)域的一些節(jié)點，它們的失效會導(dǎo)致“傳感孤島”與“能量空洞”等現(xiàn)象的出現(xiàn)。相對于其他節(jié)點，這類節(jié)點對網(wǎng)絡(luò)的生存期有著更大的影響，我們稱之為關(guān)鍵節(jié)點。本文從考慮節(jié)點能量的角度出發(fā)，給出了關(guān)鍵節(jié)點的三個屬性特征：流量因子、橋接因子、匯聚因子和兩種判斷關(guān)鍵節(jié)點的方式：利用能量模型判斷和在連通圖中判定關(guān)節(jié)點，同時用網(wǎng)絡(luò)模擬器NS2加以模擬驗證。實驗結(jié)果表明關(guān)鍵節(jié)點的失效將對網(wǎng)絡(luò)的連通性造成嚴(yán)重影響，此時其他節(jié)點的能量還有大量剩余，因此我們可以對這些關(guān)鍵節(jié)點采取不同的能量控制策略，以盡可能的延長網(wǎng)絡(luò)生命期。
關(guān)鍵詞：無線傳感網(wǎng)，關(guān)鍵節(jié)點，網(wǎng)絡(luò)仿真，NS2
The analysis and demonstration of articulation nodes’s
attribute characteristics in homogeneous wireless sensor networks
Abstract
Wireless sensor networks are the networks with limited power. The routing algorithms recently published which have considered the energy efficiency problem, however, do not distinguish the nodes with different significances. The nodes connecting different regions are widespread in the networks, their failure will bring on “sensor island” and “energy hole”. Relative to other nodes, such nodes have greater impact on the network’s lifetime, and we call them articulation nodes. Based on considering the energy of nodes, the paper gives three attribute chatacteristics: flow factor、bridging factor 、convergence factor，and two ways to find articulation nodes:using energy model to find and finding key nodes in the connected gragh. At the same time,we use network simulator NS2 to simulate and verify our analysis results. Experimental results show that the failure of nodes identified by the model will have a serious impact on the connectivity of the network. At this point the other nodes also have a large number of surplus energy. So, we can take different energy control strategy over the articulation nodes to achieve network lifetime as long as possible.
Key Words:wireless sensor network,articulation nodes,network simulation,NS2
目 錄
1.緒論 1
1.1課題的背景與目的 1
1.2國內(nèi)外的研究現(xiàn)狀 1
1.3設(shè)計過程和研究內(nèi)容 2
2.關(guān)鍵節(jié)點 3
2.1關(guān)鍵節(jié)點的概念 3
2.2關(guān)鍵節(jié)點的屬性特征 4
2.2.1流量因子 4
2.2.2橋接因子 4
2.2.3匯聚因子 4
2.3關(guān)鍵節(jié)點的判定方式 5
2.3.1能量模型判定 5
2.3.2在連通圖中判定關(guān)節(jié)點 6
3.網(wǎng)絡(luò)模擬相關(guān)技術(shù) 7
3.1網(wǎng)絡(luò)仿真模擬器 7
3.2 NS2介紹 8
3.3 Tcl與Otcl介紹 10
4.模擬仿真 12
4.1模擬環(huán)境 12
4.2系統(tǒng)建模 12
4.3模擬過程及結(jié)果的分析 14
4.3.1定義sink節(jié)點 14
4.3.2定義普通節(jié)點 16
4.3.3創(chuàng)建模擬過程 18
4.3.4模擬結(jié)果分析 20
5.總結(jié) 27
6.致謝 28
7.參考文獻(xiàn) 29
參考文獻(xiàn)
[1] 劉敏鈺, 吳泳等. 無線傳感網(wǎng)(WSN)研究[J]. 電子學(xué)與計算機(jī), 2005, 22(7):58-62.
[2] 田樂, 謝東亮. 無線傳感器網(wǎng)絡(luò)中瓶頸節(jié)點的研究[J]. 軟件學(xué)報, 2006, 7(14):829-831.
[3] J. Lian, K. Naik and G. B. Agnew, Data capacity improvement of wireless sensor networks using non-uniform sensor distribution[J], Intern. Journal of Distr. Sensor Networks, 2005, 12(6):69-73. .
[4] 嚴(yán)鳴, 汪衛(wèi). 無線傳感器網(wǎng)絡(luò)中關(guān)鍵節(jié)點的節(jié)能問題[J]. 軟件學(xué)報, 2007, 24(6):126-130.
[5] Kalpakis K, Dasgupta K, Namjoshi P. Eficient algorithms for maximum lifetime data gathering and aggregation in wireless sensor networks[J]. ACM Computer Networks.
1.2萬字 32頁
包括開題報告和任務(wù)書
摘要
無線傳感器網(wǎng)絡(luò)是能量受限的網(wǎng)絡(luò)，近年來發(fā)表的路由協(xié)議考慮了傳感器節(jié)點的節(jié)能問題，但是未在重要程度不同的節(jié)點之間進(jìn)行區(qū)分。網(wǎng)絡(luò)中普遍存在著連接不同區(qū)域的一些節(jié)點，它們的失效會導(dǎo)致“傳感孤島”與“能量空洞”等現(xiàn)象的出現(xiàn)。相對于其他節(jié)點，這類節(jié)點對網(wǎng)絡(luò)的生存期有著更大的影響，我們稱之為關(guān)鍵節(jié)點。本文從考慮節(jié)點能量的角度出發(fā)，給出了關(guān)鍵節(jié)點的三個屬性特征：流量因子、橋接因子、匯聚因子和兩種判斷關(guān)鍵節(jié)點的方式：利用能量模型判斷和在連通圖中判定關(guān)節(jié)點，同時用網(wǎng)絡(luò)模擬器NS2加以模擬驗證。實驗結(jié)果表明關(guān)鍵節(jié)點的失效將對網(wǎng)絡(luò)的連通性造成嚴(yán)重影響，此時其他節(jié)點的能量還有大量剩余，因此我們可以對這些關(guān)鍵節(jié)點采取不同的能量控制策略，以盡可能的延長網(wǎng)絡(luò)生命期。
關(guān)鍵詞：無線傳感網(wǎng)，關(guān)鍵節(jié)點，網(wǎng)絡(luò)仿真，NS2
The analysis and demonstration of articulation nodes’s
attribute characteristics in homogeneous wireless sensor networks
Abstract
Wireless sensor networks are the networks with limited power. The routing algorithms recently published which have considered the energy efficiency problem, however, do not distinguish the nodes with different significances. The nodes connecting different regions are widespread in the networks, their failure will bring on “sensor island” and “energy hole”. Relative to other nodes, such nodes have greater impact on the network’s lifetime, and we call them articulation nodes. Based on considering the energy of nodes, the paper gives three attribute chatacteristics: flow factor、bridging factor 、convergence factor，and two ways to find articulation nodes:using energy model to find and finding key nodes in the connected gragh. At the same time,we use network simulator NS2 to simulate and verify our analysis results. Experimental results show that the failure of nodes identified by the model will have a serious impact on the connectivity of the network. At this point the other nodes also have a large number of surplus energy. So, we can take different energy control strategy over the articulation nodes to achieve network lifetime as long as possible.
Key Words:wireless sensor network,articulation nodes,network simulation,NS2
目 錄
1.緒論 1
1.1課題的背景與目的 1
1.2國內(nèi)外的研究現(xiàn)狀 1
1.3設(shè)計過程和研究內(nèi)容 2
2.關(guān)鍵節(jié)點 3
2.1關(guān)鍵節(jié)點的概念 3
2.2關(guān)鍵節(jié)點的屬性特征 4
2.2.1流量因子 4
2.2.2橋接因子 4
2.2.3匯聚因子 4
2.3關(guān)鍵節(jié)點的判定方式 5
2.3.1能量模型判定 5
2.3.2在連通圖中判定關(guān)節(jié)點 6
3.網(wǎng)絡(luò)模擬相關(guān)技術(shù) 7
3.1網(wǎng)絡(luò)仿真模擬器 7
3.2 NS2介紹 8
3.3 Tcl與Otcl介紹 10
4.模擬仿真 12
4.1模擬環(huán)境 12
4.2系統(tǒng)建模 12
4.3模擬過程及結(jié)果的分析 14
4.3.1定義sink節(jié)點 14
4.3.2定義普通節(jié)點 16
4.3.3創(chuàng)建模擬過程 18
4.3.4模擬結(jié)果分析 20
5.總結(jié) 27
6.致謝 28
7.參考文獻(xiàn) 29
參考文獻(xiàn)
[1] 劉敏鈺, 吳泳等. 無線傳感網(wǎng)(WSN)研究[J]. 電子學(xué)與計算機(jī), 2005, 22(7):58-62.
[2] 田樂, 謝東亮. 無線傳感器網(wǎng)絡(luò)中瓶頸節(jié)點的研究[J]. 軟件學(xué)報, 2006, 7(14):829-831.
[3] J. Lian, K. Naik and G. B. Agnew, Data capacity improvement of wireless sensor networks using non-uniform sensor distribution[J], Intern. Journal of Distr. Sensor Networks, 2005, 12(6):69-73. .
[4] 嚴(yán)鳴, 汪衛(wèi). 無線傳感器網(wǎng)絡(luò)中關(guān)鍵節(jié)點的節(jié)能問題[J]. 軟件學(xué)報, 2007, 24(6):126-130.
[5] Kalpakis K, Dasgupta K, Namjoshi P. Eficient algorithms for maximum lifetime data gathering and aggregation in wireless sensor networks[J]. ACM Computer Networks.
