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Design and Implementation of a Real-Time Automobile Location Estimation System In Parking Lots By Wireless Sensor Networks
|關鍵字:||wireless sensor network;無線網路感測;location;MICA2;定位||出版社:||資訊科學系所||引用:||.Nana Dankwa, “An Evaluation of Transmit Power Levels for Node Localization on the Mica2 Sensor Node,” Yale University, Electrical Engineering Department New Haven, CT 06520 2004. .Cheng, D. K., Field and Wave Electromagnetic, Addison Wesley, New York, 1989. .Murat Demirbas ,Youngwhan Song, “An RSSI-based Scheme for Sybil Attack Detection in Wireless Sensor Networks,” Department of Computer Science and Engineering Department State University of New York at Buffalo. .TIAN HE ,CHENGDU HUANG ,BRIAN M. BLUM, JOHN A. STANKOVIC, and TAREK F. ABDELZAHER, “Range-Free Localization and Its Impact on Large Scale Sensor Networks,” University of Virginia 2005 .T. He, C. Huang, B. Lum, J. Stankovic, and T. Adelzaher “Range-free localization schemes for large scale sensor networks,” in Proc. of ACM MobiCom, San Diego, CA, Sept. 2003. .Jaein Jeong and Sukun Kim, ”CS268 Computer Networls Localization using Dot3 wireless sensors,” Department of Electrical Engineering and Computer Science University of California, Berkeley , May 16, 2003. .Ke Liu, Nael Abu-Ghazaleh and Kyoung-Don Kang, ”Location Verification and Trust Management for Resilient Geographic Routing,” CS. Department, Binghamton University, July 28, 2006. .Jian Ma, Qianbin Chen, Dian Zhang and Lionel M. Ni, “An Empirical Study of Radio Signal Strength in Sensor Networks Using MICA2 Nodes,” Department of Computer Science and Engineering Hong Kong University of Science and Technology March 25, 2006 . .Jian Ma, Min Gao, Yanmin Zhu, Quanbin Chen and Lionel M. Ni “Quality-based Anchor-free Localization with Refinement in Sensor Networks,” Department of Computer Science, Hong Kong University of Science and Technology 1999. .H. Nikookar and H. Hashemi. “Statistical modeling of signal amplitude fading of indoor radio propagation channels,” 2nd International Conference on Universal Personal Communications, 1993. Vol 1, Pages:84-88. .D. Niculescu and B. Nath, “DV based positioning in ad hoc networks,” Kluwer J. Telecommun. Syst., vol. 22, no. 1, pp. 267-280, Jan. 2003. .D. Niculescu and B. Nath, “Ad-hoc positioning system,” in Proc. Of IEEE Globecom, San Antonio, TX, Nov. 2001. .Theodore S. Rappapport. “Wireless Communications :Principles and Practice,” Prentice Hall. .Siuli Roy, Sanjay Chatterjee, Somprakash Bandyopadhyay, “Neighborhood Tracking and Location Estimation of Nodes in Ad hoc Networks Using Directional Antenna: A Testbed Implementation,” Indian Institute of Management Calcutta, Joka, Calcutta .S.Y. Seidel and T.S. Rapport. “914MHz Path Loss Prediction Model for Indoor Wireless Communication in Multi floored Buildings,” In IEEE Transactions on Antennas and Propagation ,volume 40 (2) , pages 207-217 , February 1992. .Victor Shnayder, Mark Hempstead , Bor-rong Chen, Geoff Werner Allen , and Matt Welsh,” Simulating the Power Consumption of Large-Scale Sensor Network Applications,” Division of Engineering and Applied Sciences , Harvard University 2004 .Andreas Savvides, Chih-Chieh Han and Mani B.Strivastava,“Dynamic Fine-Grained Localizationin Ad-Hoc Networks of Sensors,” ACM SIGMOBILE July 2001. .Marco Zuniga and Bhaskar Krishnamachari, “Analyzing the Transitional Region in Low Power Wireless Links,” Department of Electrical Engineering-Systems University of Southern California , Los Angeles. .Doina Bucur,“Location Sensing in Ubiquitous Computing ,” http://www.daimi.au.dk/~doina/absg-loc/absg-loc.pdf. .Alessio Falchi, ” Transmission Power Measurement,” http://etd.adm.unipi.it/theses/available/etd-05252004-154652/unrestricted/Chap4.pdf. .L. Girod,“Radio Propagation Model,” http://lecs.cs.ucla.edu/~girod/official/talks/694-radio.ppt .Wei Ye,“Radio Propagation Model chapter17,” http://www.isi.edu/~weiye/pub/propagation_ns.pdf .“15-04-0581-07-004a-ranging-subcommittee-final-report.doc,” IEEE P802.15, Nov. 2004. .“15-04-0563-00-004a-sample-MAC-requirements-for-angle-of-arrival-based-ranging.ppt,” Marilynn P. Green, Nokia, Mar. 2005. .ChipCon CC1000 Data Sheet, http://www.chipcon.com/_les/CC1000 Data Sheet 2 1.pdf. .“MIB5100 document ”, MTS-MDA Series User Manual 7430-0020-03_A.pdf .TinyOS, http://webs.cs.berkeley.edu/tos/. .TinyOS ,https://www.eecs.harvard.edu/lists/pipermail/motetrack/2005-February/000006.html. .TinyOS tutorial, http://www.tinyos.net/tinyos-1.x/doc/tutorial/. .TinyOS document, http://www.tinyos.net/tinyos-1.x/doc/.||摘要:||
在本篇論文中，我們應用無線網路感測器所接收到的訊號強度來測距，並採用三角定位公式來計算車輛的位置，根據Anchor與forward sensor、aggregation sensor所接收到的資訊來決定車輛的位置，提供即時的車位資訊。
Along with the fast progress development of the industry and the information science and technology, the automobile has become almost becomes the essential necessary vehicle in every household. As a results, many shopping malls and department stores have provided the parking lots to facilitate their customers to part their cars.
Nevertheless, it usually takes a lot of time for the drivers to look for a free parking space, especially when in crowded times. As a result, some parking lots have the staff to show the drivers where the free parking spaces are. However, such an approach would result in a manpower cost. Consequently, in this thesis, we design and implement a parking lots management system by wireless sensor networks. In our system, we would achieve instant vehicle position estimation in a basement parking lot.
To accomplish a vehicle position management system, firstly, we deploy lots wireless sensor nodes, which is called anchor nodes, in the parking lots. Furthermore, each car is also equipped with a wireless sensor node. Then, we utilize the signal strength of received packets sent by the anchor nodes to derive the relative distance between an anchor node and a vehicle. Finally, the vehicle position is estimated by the triangle position technique. Nevertheless, due to the multipath fading, triangle position technique would not be applied in some cases. As a result, we also derive a refinement scheme that filters out incorrect estimation and derive a more precise position estimation
|Appears in Collections:||資訊科學與工程學系所|
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