Practical Experience of Flash Deployment of Indoor Localization System at World Trade Center

• Main Authors: Sung-Hwa Tsai, 蔡松樺
• Other Authors: 黃寶儀
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/14216892412904238877

碩士 === 國立臺灣大學 === 電機工程學研究所 === 100 === RSSI fingerprinting-based localization technique is widely used for indoor localization because it could capture obstruction and multipath effect, which are commonly seen in indoor signal propagation, as unique feature for each location. Unlike testbeds, there are usually various constraints in the real world environment and the accuracy of location estimations may be reduced indirectly due to some factors limited by them while using RSSI fingerprinting-based technique. Therefore, we implemented a flash deployment of RSSI fingerprinting-based indoor localization system at World Trade Center (WTC) exhibition hall 3 for 5 days only to verify the feasibility of it in the real world environment. In this work, we shared our practical experience of flash deployment firstly. It includes the detail descriptions of the used hardware and the implemented localization mechanisms followed by the evaluations of them. Secondly, the challenges and limits of flash deployment at WTC are well discussed. In addition, the evaluations of the effects of them on the accuracy are presented and the possible improvements are proposed. The result indicates that the error distance of the indoor localization system deployed at WTC is 9.01m at 80th percentile with the most accurate localization mechanism among the ones we discussed. Beacon placement limit, time and space limit, environmental change challenge, and signal variation challenge are the four challenges and limits for flash deployment at WTC. Among these, signal variation introduces the most error distance. Thus, the possible improvements to it, using other kinds of fingerprint in addition to RSSI and using Bayesian filter, may be the most effective ways to improve the accuracy of location estimations for flash deployment of RSSI fingerprinting-based indoor localization system.