Sensor-Assisted Wi-Fi Indoor Location System for Adapting to Environmental Dynamics
Date Issued
2006
Date
2006
Author(s)
Chen, Yi-Chao
DOI
zh-TW
Abstract
Wi-Fi based indoor location systems have been shown to be both cost-effective and accurate, since they can attain meter-level positional accuracy by using existing Wi-Fi infrastructure in the environment. However, two major technical challenges persist for current Wi-Fi based location systems: instability in positional accuracy due to changing environment dynamics, and the need for manual online calibration during site survey. To address these two challenges, three environment factors (doors, humidity, and human cluster) that can interfere with radio signals and cause positional inaccuracy in the Wi-Fi location systems are identified. Then, we propose a sensor-assisted adaptation method that employs environment and proximity sensors to adapt the location systems automatically to the changing environment dynamics. In addition, a collaborative method is applied to leverage more accurate location information from nearby neighbor nodes to enhance the positional accuracy of a human cluster. Experiments were performed on the sensor-assisted adaptation and collaboration methods. The experimental results show that our enhancement can avoid adverse reduction (43.7% ~ 236.6%) in positional accuracy that can often occur in conventional non-adaptive & non-collaborative methods under changing environment dynamics.
Subjects
感測器
室內定位
環境變因
sensor
indoor location system
environmental dynamics
Type
thesis
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