§ 瀏覽學位論文書目資料
系統識別號 U0002-3008202020302200
DOI 10.6846/TKU.2020.00919
論文名稱(中文) 強化式防禦線覆蓋問題於任意形狀之場景
論文名稱(英文) The Reinforced Barrier Coverage Problem in Arbitrary Shapes
第三語言論文名稱
校院名稱 淡江大學
系所名稱(中文) 資訊工程學系碩士班
系所名稱(英文) Department of Computer Science and Information Engineering
外國學位學校名稱
外國學位學院名稱
外國學位研究所名稱
學年度 108
學期 2
出版年 109
研究生(中文) 林文皓
研究生(英文) Wen-Hao Lin
學號 608410204
學位類別 碩士
語言別 繁體中文
第二語言別 英文
口試日期 2020-07-10
論文頁數 30頁
口試委員 指導教授 - 鄭建富
委員 - 曾學文
委員 - 潘孟炫
關鍵字(中) 無線感測網路
覆蓋問題
強化式防禦線覆蓋
關鍵字(英) Wireless Sensors Networks
Coverage Problem
Reinforced Barrier Coverage
第三語言關鍵字
學科別分類
中文摘要
防禦線覆蓋問題(barrier coverage problem)在無線感測網路中是一項非常重要的課題。在本論文中,我們將探討一個新形態的防禦線覆蓋問題,其名稱為強化防禦線覆蓋問題(reinforced barrier coverage problem)。強化防禦線覆蓋與過往的防禦線覆蓋之差別在於過往的防禦線覆蓋只能偵測單一邊界的突破,並無法偵測多邊界的突破。由於過往僅有少數研究針對強化防禦線覆蓋問題做探討,並且都是探討在矩形場景之中。因此在本計畫中我們將放寬此環境假設,探討強化式防禦線覆蓋問題於任意形狀之場景。
英文摘要
The barrier coverage problem is a very important issue in wireless sensing networks. In this thesis, we will explore a new form of barrier coverage problem, which is called the reinforced barrier coverage problem. The difference between the reinforced barrier coverage problem and the classical barrier coverage problem is that the classical barrier coverage problem can only detect breakthroughs on a single boundary, and cannot detect breakthroughs on multiple boundaries. Because only a few studies have focused on the issue of the reinforced barrier coverage problem, and they are all in the rectangular scene. Therefore, in this thesis, we will relax the environmental assumption and address the problem of the reinforced barrier coverage problem in arbitrary shapes.
第三語言摘要
論文目次
目錄
圖目錄	IV
表目錄	V
第一章 簡介	1
第二章 相關研究	6
第三章 問題定義以及環境假設	9
第四章 方法概述	11
4.1 集中式演算法CARB (Centralized Algorithm for Reinforced Barrier)	11
4.2 分散式演算法DARB (Distributed Algorithm for Reinforced Barrier)	13
第五章 實驗模擬	14
5.1 集中式比較對象方法:	14
5.2 分散式比較對象方法:	14
第六章 結論	20
參考文獻	21
附錄-英文論文	23
圖目錄
圖 1. 防禦線覆蓋 (Barrier Coverage)	1
圖 2. 十字入口之多種穿越路線	2
圖 3. 強化式防禦線覆蓋	3
圖 4. 以國家當作場景	4
圖 5. 不規則形狀場景(arbitrary shapes)	7
圖 6. 任意多邊形場景	9
圖 7. 比較對象方法示意圖	15
圖 8. 撒落不同節點數量下之防禦線成本(集中式)	16
圖 9. 撒落不同節點數量下之防禦線成本(分散式)	17
圖 10. 不同頂點數量下之防禦線成本(集中式)	18
圖 11. 不同頂點數量下之防禦線成本(分散式)	18
圖 12. 各演算法可建構之強化防禦線組數	19
表目錄
表 1. 防禦線相關研究	4
表 2. 模擬參數設定	15
參考文獻
[1]I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "Wireless sensor Networks: a Survey," Comput. Netw., vol 38, no. 4, pp. 393-422, 2002.
[2]A. Chen, S. Kumar, and T. Lai. "Designing localized algorithms for barrier coverage," In Proc. of ACM MobiCom, 2007.
[3]D. W. Gage, "Command control for many-robot systems," In Proc. of AUVS, 1992.
[4]S. He, J. Chen, X. Li, X. Shen, and Y. Sun. "Cost-effective barrier coverage by mobile sensor networks," In Proc. of IEEE INFOCOM, 2012.
[5]S. He, X. Gong, J. Zhang, J. Chen, Y. Sun, "Barrier coverage in wireless sensor networks: from lined-based to curve-based deployment," In Proc. of IEEE INFOCOM, 2013.
[6]S. He, X. Gong, J. Zhang, J. Chen, Y. Sun, "Curve-based deployment for barrier coverage in wireless sensor networks," IEEE Trans. Wireless Commun., vol. 13, no. 2, pp. 724~735, 2014.
[7]S. Kumar, T. H. Lai, and A. Arora, "Barrier coverage with wireless sensors," In Proc. of ACM MobiCom, 2005.
[8]S. Kumar, T.H. Lai, and A. Arora, "Barrier coverage with wireless sensors," Wirel. Netw., vol. 13, no. 6, 2007.
[9]H. Kim, J.A. Cobb, "Maximum lifetime of reinforced barrier-coverage in wireless sensor networks," In Proc. of IEEE ICON, 2013.
[10]H. Kim, J. Ben-Othman and P. Bellavista, "On construction of collision-free UAV reinforced barrier," In Proc. of IEEE GLOBECOM, 2016.
[11]H. Kim, J. Ben-Othman, "HeteRBar: construction of heterogeneous reinforced barrier in wireless sensor networks," IEEE Commun. Lett., vol. 21, no. 8, pp. 1859-1862, 2017.
[12]B. Liu, O. Dousse, J. Wang, and A. Saipulla. "Strong barrier coverage of wireless sensor networks," In Proc. of ACM MobiHoc, 2008.
[13]L. Li, B. Zhang, X. Shen, J. Zheng and Z. Yao, "A study on the weak barrier coverage problem in wireless sensor networks," Comput. Netw., vol. 55, no. 3, pp. 711-721, 2011.
[14]Y. Wang and G. Cao. "Barrier coverage in camera sensor networks," In Proc. of ACM MobiHoc, 2011.
[15]J. Yick, B. Mukherjee, and D. Ghosal, "Wireless sensor network survey," Comput. Netw., vol. 52, no. 12, pp. 2292-2330, 2008.
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