跳到主要內容

臺灣博碩士論文加值系統

(3.237.38.244) 您好!臺灣時間:2021/07/24 17:22
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:鄭駱明信
研究生(外文):Ming-HsinCheng-Lo
論文名稱:適用於太陽能充電式無線感測網路環境之動態節點選擇演算法
論文名稱(外文):An adaptive node-selection mechanism for environment monitoring in Solar-power wireless sensor networks
指導教授:鄭憲宗鄭憲宗引用關係
指導教授(外文):Sheng-Tzong Cheng
學位類別:碩士
校院名稱:國立成功大學
系所名稱:資訊工程學系碩博士班
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:英文
論文頁數:39
中文關鍵詞:太陽能佈建無線感測網路節點選擇演算法路徑選擇演算法
外文關鍵詞:solar powersensor deploymentwireless sensor networknode-selection algorithmpath-selection algorithm
相關次數:
  • 被引用被引用:0
  • 點閱點閱:187
  • 評分評分:
  • 下載下載:48
  • 收藏至我的研究室書目清單書目收藏:0
此篇論文提出一種以太陽能為基礎的動態節點演算法可以在便於佈建的條件下還提升無線感測器的監控效能。目前大部分有關感測器佈建方面論文多數要求精確的計算各個無線感測器的距離,以達到減少重疊率的效果,但是多數的感測器都是以空中投擲散布為主,因此如何選擇那些感測器要在那些時間運作成為一大問題。在另外一方面,如果是單純的選擇節點或路徑問題方面的論文,多數都沒有考量到電力問題,因此只能用在基地台環境下。因此,為了解決無線感測器的電力問題,我們另外添加了太陽能作為我們供電的基礎,並且又以太陽能作為我們選擇節點上的一大考量。如此一來,我們就可以同時解決電力問題,以及挑選感測器上的問題。此動態演算法包括了三個主要部分,包括了劃分目標區域計算覆蓋重疊、太陽能的選點機制和選擇路徑,來提高每個無線感測器的覆蓋率以及高持續力。此篇論文也考慮到在不同降雨機率以及不同濕度下的環境,以因應在不同環境下的太陽能修正。而實驗結果顯示此篇論文所提出的以太陽能充電式無線感測環境下的動態節點演算法,可以因應在不同環境變化下,還一邊監控住我們的目標區域。
This thesis proposes a solar power based adaptive node-selection protocol mechanism of wireless sensor network to increase the monitor performance of wireless sensor in an easy way to deployment. There are already some researches that focus on how to deploy the sensor by accurate the distance between sensors to avoid the waste of the sensor coverage. However, most of the sensors deploy by using airplane to spread, so how to select some sensor work efficiently becomes the mainly problem. On the other side, there are also lots of node-selection or path-selection researches, but most of them didn’t consider about the energy problem, because it’s mainly using at base station instead of wireless sensors. Therefore, for solve the problem of electric power issue, we apply the solar-power equipment as the base of power supply, and also use the solar power as the selection of the nodes or paths. On this way, we can solve both electric problem and node-selection problem. Our adaptive node-selection mechanism includes three mainly parts, which is divide the target area into several grid to reduce the overlapping, the node-selection base on solar power and the path-selection to increase the coverage and sustainability. Also, we add the raining chance and humidity as the parameter to fix the solar power in different environment. Simulation result shows that we can adaptive select the nodes and monitor the target area at the same time.
摘 要...................................................i
Abstract................................................ii
Acknowledgement.........................................iii
Table of Contents.......................................iv
List of Tables..........................................v
List of Figures.........................................vi
1.INTRODUCTION..........................................1
1.1 Motivations.........................................3
1.2 Objectives..........................................3
1.3 Thesis overview.....................................4
2.BACKGROUNDS AND RELATED WORKS.........................5
2.1 PEAS protocol deployment............................5
2.2 Triangle grid deployment............................6
2.3 Minimum spanning tree...............................7
2.4 Breadth-first search................................8
3.SYSTEM MODEL..........................................9
3.1 System Overview.....................................9
3.2 Preparation of data and grids.......................13
3.3 Solar and battery power.............................18
3.4 Build the tree......................................22
4.SIMULATION AND PERFORMANCE............................24
4.1 Simulation Environment and Parameter Setup..........24
4.2 Simulation Result...................................26
5.CONCLUSION AND FUTURE WORKS...........................36
6.REFERENCES............................................38

[1]Santosh Kumar, Ten H. Lai, and Anish Arora, “Barrier Coverage With Wireless Sensors, MobiCom'05, August28.September 2, 2005, Cologne, Germany.
[2]Santosh Kumar, Member, IEEE, Ten H. Lai, Marc E. Posner, and Prasun Sinha, Senior Member, IEEE , “Maximizing the Lifetime of a Barrier of Wireless Sensors, IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL.9,NO.8, AUGUST 2010.
[3]Amjad Abu-Baker, Hong Huang, Eric Johnson, Satyajayant Misra, Rafael Asorey-Cacheda, Brahim Bensaou,and Manikanden Balakrishnan, “Maximizing α-Lifetime of Wireless Sensor Networks with Solar Energy Sources, The 2010 Military Communications Conference - Unclassified Program - Networking Protocols and Performance Track.
[4]Paul Balister, Bela Bollobas, and Amites Sarkar,and Santosh Kumar, “Reliable Density Estimates for Coverage and Connectivity in Thin Strips of Finite Length, MobiCom’07, September 9–14, 2007, Montréal, Québec, Canada. Copyright 2007 ACM
[5]Benyuan Liu, Olivier Dousse, Jie Wang, and Anwar Saipulla, “Strong Barrier Coverage of Wireless Sensor Networks, MobiHoc’08, May 26–30, 2008, Hong Kong SAR, China. Copyright 2008 ACM.
[6]Fan Ye, Gary Zhong, Songwu Lu, and Lixia Zhang, “PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks Proceedings of the 10 th IEEE International Conference on Network Protocols (ICNP’02), 2002.
[7]Y.-S. Yen, S. Hong, R.-S. Chang, and H.-C. Chao, “Controlled deployments for wireless sensor networks, IET Communications Received on 30th April 2008
[8]Yun Zhou, Yanchao Zhang, and Yuguang Fang, “KEY ESTABLISHMENT IN SENSOR NETWORKS BASED ON TRIANGLE GRID DEPLOYMENT MODEL, Military Communications Conference, 2005. MILCOM 2005. IEEE
[9]Enrico Natalizio, Member, IEEE, Valeria Loscr´ı, Member, IEEE, and Emanuele Viterbo, Senior Member, IEEE, “Optimal Placement of Wireless Nodes for Maximizing Path Lifetime, IEEE COMMUNICATIONS LETTERS, VOL. 12, NO. 5, MAY 2008.
[10]Ning Li, Student Member, IEEE, Jennifer C. Hou, Senior Member, IEEE, and Lui Sha, Fellow, IEEE, “Design and Analysis of an MST-Based Topology Control Algorithm, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 4, NO. 3, MAY 2005
[11]Julien Cartigny, Francois Ingelrest, David Simplot-Ryl, and Ivan Stojmenovic, “Localized LMST and RNG based minimum-energy broadcast protocols in ad hoc networks, 2003 Elsevier Ad Hoc Networks
[12]Anwar Saipulla, Benyuan Liu, and Jie Wang, “Barrier Coverage with Airdropped Wireless Sensors, Military Communications Conference, 2008. MILCOM 2008. IEEE.
[13]Shinji Inoue, Kyouhei Kurokawa, yoshiaki Kakuda, and Tadashi Dohi. “A Method to Prolong the Lifetime of Sensor Networks by Adding New Sensor Nodes to Energy-consumed Areas, Aware Computing (ISAC), 2010 2nd International Symposium on.
[14]Mihaela Cardei, Yingshu Li and Weili Wu, “Energy -Efficient Target Coverage in Wireless Sensor Networks INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE.
[15]Jean Carle , and David Simplot-Ryl, “Energy-Efficient Area Monitoring for Sensor Networks, Computer Magazine, Feb 2004.
[16]MIHAELA CARDEI, and DING-ZHU DU, “Improving Wireless Sensor Network Lifetime through Power Aware Organization, 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands.
[17]Sasa Slijepcevic, and Miodrag Potkonjak, “Power Efficient Organization of Wireless Sensor Networks, Communications, 2001. ICC 2001. IEEE International Conference on.
[18]Julien Cartigny, David Simplot, and Ivan Stojmenovi, “Localized minimum-energy broadcasting in ad-hoc networks, INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications. IEEE Societies
[19]T.V. Prabhakar, S.N. Akshay Uttama Nambi, R. Venkatesha Prasad, S. Shilpa1, K. Prakruthi, and Ignas Niemegeers, “A Distributed Smart Application for Solar Powered IFIP International Federation for Information Processing 2012
[20]A.Yona, Member, IEEE, and T. Senjyu, Senior Menber, IEEE, “One-Day-Ahead 24-Hours Thermal Energy Collection Forecasting Based on Time Series Analysis Technique for Solar Heat Energy Utilization System, IEEE T&D Asia 2009
[21]Rabindra Bista, Yong-Ki Kim, and Jae-Woo Chang, “A New Approach for Energy-Balanced Data Aggregation in Wireless Sensor Networks, Computer and Information Technology, 2009. CIT '09. Ninth IEEE International Conference on 11-14 Oct. 2009
連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊