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  • 學位論文

ZigBee無線感測網路在建築物中定位的應用

In-Building Localization Using ZigBee IEEE802.15.4

指導教授 : 陳永盛
共同指導教授 : 郭文興(Wen-Hsing Kuo)
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摘要


近日來無線感測網路的快速成長,使定位的技術與應用成為當今無線感測網路中熱門的議題。針對這方面的研究,本論文利用現有的RSSI技術,來實現定位的研究。在室內實際的環境下,無線電訊號會被建築物干擾、反射、散射、衍射因素影響,導致訊號接收強度指標不是一個很穩定的精確值。本論文因為這樣的原因除了用RSSI (Received Signal Strength Indicator)來估測距離位置外,也利用鄰近法將兩個待測定位點與參考節點來做定位,一個是取最強的RSSI能量,就是單點定位 SS (Strongest signal),另一個是取最強與次強的RSSI能量,就是雙點定位 NSS (Next strongest strength) 來估測待測位置,再利用實測的RSSI能量強度範圍資料庫(RSSI Data Base)的方式以內插法求得更精確的落點位置。根據在元智大學七館實驗的結果已被證實內插定位法是可行的。

關鍵字

室內定位

並列摘要


Positioning technologies and applications of a wireless sensor network have become a hot topic due to its rapid growth. RSSI (Received Signal Strength Indicator) technology is investigated and adopted for positioning in this study. In case of indoor environment, radio signals are usually influenced with building interferences which produce reflection, scattering, and diffraction effects. This results in an unstable data if signal reception strength index used for positioning. In addition to the use of RSSI for localization and distance measurement, in this thesis, neighboring method is also used, where two nodes having a SS (Strongest signal) and a NSS (Next strongest strength) are localized. A RSSI database involving the ranging energy and an interpolation scheme are further used to obtain more accurate position information. Based on our experimental results in Building 7 at Yuan Ze University, the feasibility of the proposed approach has been confirmed.

並列關鍵字

In-Building Localization

參考文獻


[1] ZigBee Alliance, ZigBee Specification Version r17, www.zigbee.org,Octber 19th,2007.
[7] Zhou Yiming, Yang Xianglong, Guo Xishan, Zhou Mingang, Wang Liren, “A design of greenhouse monitor & control system based on ZigBee wireless sensor network,”Department of Bio-System Engineer, Zhejiang University Hangzhou 310029, China
[9] 崔文、殷志揚、陳昭男,”行動網路定位技術概觀”,電腦與通訊,第115期,PP54-60
[12] Yu-Ping Tsou, Jun-Wei Hsieh, Cheng-Ting Lin, Chun-Yu Chen,”Building a Remote Supervisory Control Network System for Smart Home Applications”, 2006 IEEE International Conference on Systems, Man, and Cybernetics October 8-11, 2006, Taipei, Taiwan
[15] Jen-Chiao Lin,”A Distributed Localization Scheme in Mobile Sensor Networks”, Department of Computer Science and Information Engineering National Central University Chung-Li, 32054 Taiwan, R.O.C

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