使用傳送端電壓改善定位｜國立中央大學博碩士論文系統

簡易檢索 / 詳目顯示

回結果列表

研究生：	余偉綸 Wei-Lun Yu
論文名稱：	使用傳送端電壓改善定位 Improving Localization-Taking the Transmitter Voltageinto Account
指導教授：	孫敏德 Ming-Te Sun
口試委員:
學位類別：	碩士 Master
系所名稱：	資訊電機學院 - 資訊工程學系 Department of Computer Science & Information Engineering
畢業學年度：	98
語文別：	中文
論文頁數：	40
中文關鍵詞：	無線感測網路、電壓、定位、信號強度
外文關鍵詞：	RSSI, voltage, localization, ad-hoc sensor network
相關次數：	點閱：12 下載：0
分享至:	分享至facebook 分享至twitter

查詢本校圖書館目錄查詢臺灣博碩士論文知識加值系統勘誤回報

論文摘要：
在無線感測網路中，定位可以算是一個最重要的課題，如動物的棲息地觀察和入侵檢測系統，都必須依靠有效、及時地與準確定位技術，在至今眾多已發展的定位技術，由於Radio Signal Strength Index(RSSI)的簡單和可擴展性，所以在測量距離上RSSI一直具有一定的吸引力。然而，在讀取RSSI值的時候容易受到各種因素干擾，如:濕度與溫度，所以我們希望尋求一個能夠降低這些因素干擾的方法，在這篇論文裡，我們試著量化傳送端電壓對RSSI的影響，我們使用線性迴歸方程式來表現出電壓與信號強度的關係。我們能夠利用傳送端的電壓變化來修改現有使用信號強度來計算距離的公式，從我們的實驗中，我們發現的我們新方法能夠在提高距離計算的平均準確度達到58%。
關鍵字：無線感測網路、定位、電壓、信號強度

Abstract
Localization is one of the most important topics in wireless sensor networks. Many applications, such as animal habitant observation and intruder detection, rely on an effective, prompt, and accurate localization technique. Among many localization techniques been developed to date, the range-based ones utilizing Radio Signal Strength Index (RSSI) as basis for distance measurement are appealing due to its simplicity and extensibility. However, the reading of RSSI is affected by many factors, such as Humidity and Temperature. As a result, the accuracy of the distance computed from RSSI as well as the localization built on top of it is reduced. In this thesis, we try to examine and quantify the impact of transmitter voltage to RSSI. Using the technique of linear aggression on the collected experimental RSSI readings, we are able to revise the existing equation for distance computation from RSSI to take the transmission voltage into account. From our experiments, we have found that the new equation improves the distance estimation accuracy by 50%~98% in most case.
Keywords: ad-hoc sensor network, localization, voltage, RSSI

中文摘要…………………………………………………………………i
英文招要…………………………………………………………………iii
致謝…………………………………………………………………………iv
目錄…………………………………………………………………………vi
圖目錄……………………………………………………………………viii
表目錄……………………………………………………………………x
一、   介紹………………………………………………………………1
二、   文獻介紹………………………………………………………4
2.1  全球定位系統(GPS)………………………………………4
2.1.1  GPS架構……………………………………………………5
2.1.2  其他系統…………………………………………………6
2.2  區域定位系統………………………………………………6
2.2.1  信號型態……………………………………………………6
2.2.2  信號度量……………………………………………………7
2.2.3  無線感測網路……………………………………………8
三、   方法……………………………………………………………13
3.1  硬體平台………………………………………………………13
3.2  實驗環境………………………………………………………17
3.3  實驗..……………………………………………………………19
3.4  結果………………………………………………………………20
3.5  數據分析………………………………………………………21
3.6  電壓矯正信號強度(VA-RSSI)…………………………26
四、   效能評估……………………………………………………29
4.1  效能評估………………………………………………………29
4.1.1  陽台……………………………………………………………30
4.1.2  禮堂……………………………………………………………32
4.1.3  走廊……………………………………………………………33
五、   結論與未來展望………………………………………35
5.1  結論………………………………………………………………35
5.2  未來展望………………………………………………………35
參考文獻………………………………………………………………37

                                

參考文獻
[1] Hossain A.K.M.M., Van H.N., Jin Y. and Soh W.-S. “Indoor Localization Using Multiple Wireless Technologies,” In Proceedings of IEEE International Conference on Mobile Adhoc and Sensor Systems, 2007.
[2] A. Baggio and K. Langendoen, ”Monte-carlo localization for mobile wireless sensor networks,” In: 2nd Int. Conference on Mobile Ad-hoc and Sensor Networks, 2006.
[3] P. Bahl and V. N. Padmanabhan, “RADAR: An In-Building RF-Based User Location and Tracking System,” in INFOCOM. IEEE, 2000.
[4] Y.T. Chan, K.C. Ho, “A simple and efficient estimator for hyperbolic location,” in IEEE Trans., 1994.
[5] B. Dil, S. Dulman, and P. Havinga, “Range-based localization in mobile sensor networks,” in Proc. EWSN, Zurich, 2006.
[6] S. Gezici, Z. Tian, G. G. , H. K. amd A.F. Molisch, H. Poor, and Z. Sahinoglu, “Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks,” IEEE Signal Processing Mag., 2005.
[7] D. K. Goldenberg, P. Bihler, M. and Cao, J. Fang, “Localization In Sparse Networks using Sweeps,” in Proceedings of ACM MOBICOM,, 2006.
[8] T. He, C. Huang, B. M. Blum , J. A. Stankovic and T. Abdelzaher, “Range-free Localization Schemes for Large Scale Sensor Networks,” in Proceedings of ACM MOBICOM, 2003.
[9] L. Hu and D. Evans, "Localization for mobile sensor networks," in Proceedings of ACM MOBICOM, 2004.
[10] T. Li, A. Ekpenyong, and Y.-F. Huang, “A location system using asynchronous distributed sensors,” in Proceedings of IEEE INFOCOM, 2004.
[11] X. Li and K. Pahlavan, “Super-resolution toa estimation with diversity for indoor geolocation,” in IEEE Trans. Wireless Commun., 2004.
[12] S. Kaul, K. Ramachandran, P. Shankar, S. Oh, M. Gruteser, I. ˇSeˇskar, and T. Nadeem, “Effect of antenna placement and diversity on vehicular networks communication,” in Proc. SECON, 2007.
[13] K. Kleisouris, Y. Chen, J. Yang, and R. P. Martin, “The impact of using multiple antennas on wireless localization,” in Proc. SECON, 2008.
[14] JY. Lee and R.A. Scholtz, “Ranging in a dense multipath environment using an UWB radio link,” IEEE Trans. Select. Areas Commun., 2002.
[15] D. Niculescu and B. Nath,” Ad hoc positioning system using AoA,” in Proceedings of IEEE INFOCOM, 2003.
[16] D. Niculescu, and B. Nath, ”Error Characteristics of Ad Hoc Positioning Systems,” In Proceedings of ACM MOBICOM, 2004.
[17] D. Niculescu and B. Nath, “VOR base stations for indoor 802.11 positioning,” in Proceedings of ACM MOBICOM, 2004.
[18] N. Patwari and A. O. Hero III, “Using Proximity and Quantized RSS for Sensor Localization in Wireless Networks,” Workshop on Wireless Sensor Networks and Applications, 2003.
[19] R. Peng and M. L. Sichitiu, “Robust, Probabilistic, Constraint- Based Localization for Wireless Sensor Networks,” in Proc. SECON, 2005.
[20] N. B. Priyantha, A. Chakraborty, and H. Balakrishnan, “The Cricket location-support system,” in Proceedings of ACM MOBICOM, 2000.
[21] N. B. Priyantha, H. Balakrishnan, E. D. Demaine, and S. Teller, “Mobile-Assisted Localization in Wireless Sensor Networks,” in Proceedings of IEEE INFOCOM , 2005.
[22] T. S. Rappaport, J. H. Reed and B. D. Woerner, “Position location using wireless communications on highways of the future,” IEEE Communications Magazine, 1996.
[23] M. Rudafshani and S. Datta. Localization in wireless sensor networks. In Information Processing in Sensor Networks , 2007..
[24] H.C. Schau, A.Z. Robinson,” Passive source localization employing intersecting spherical surfaces from time-ofarrival differences,” IEEE Trans., 1987.
[25] F. Sottile and M. A. Spirito, “Robust Localization for Wireless Sensor Networks,” in IEEE SECON. 2008
[26] A. Uchiyama, S. Fujii, K. Maeda, T. Umedu, H. Yamaguchi and T. Higashino, “Ad-hoc Localization in Urban District”, in Proceedings of IEEE INFOCOM, 2007.
[27] Widyawan, M. Klepal and D. Pesch, “Influence of Predicted and Measured Fingerprint on the Accuracy of RSSI-based Indoor Location System,” IEEE WPNC, 2007.
[28] K. Yedavalli, B. Krishnamachari, S. Ravula, and B. Srinivasan, "Ecolocation: A technique for RF-based localization in wireless sensor networks," in Proc. IPSN, 2005.
[29] J. Yi, S. Yang, and H. Cha. “Multi-hop-based monte carlo localization for mobile sensor networks,” in Proc. SECON, 2007.
[30] M. Youssef and A. Agrawala, “Small-scale compensation for WLAN location determination systems,” in Proceedings of WCNC, 2003.
[31] IEEE Standard for Information Technology, ”Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) specifications for Low Rate Wireless Personal Area Networks (LR-WPANS),” Jul. 2006.
[32] http://www.cnsa.gov.cn/n615708/n620168/n622297/169018.html
[33] http://www.esa.int/esaNA/galileo.html
[34] http://www.gps.gov/
[35] http://www.twintex.com.tw/pviewitem1.asp?sn=675&area=25&cat=175

簡易檢索 / 詳目顯示

相關論文