On Wireless Sensors Deployment for RSSI-based Location Tracking Applications

碩士 === 元智大學 === 工業工程與管理學系 === 101 === Wireless Sensor Network has become the hot research field over the world since 1990, localization of sensor nodes is one of the key issues in wireless sensor networks. A research an indoor location based on wireless sensor network and fuzzy inference system get...

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Bibliographic Details
Main Authors: Mei-Hui Tsai, 蔡美慧
Other Authors: Yee-Ming Chen
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/28879435874537271081
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Summary:碩士 === 元智大學 === 工業工程與管理學系 === 101 === Wireless Sensor Network has become the hot research field over the world since 1990, localization of sensor nodes is one of the key issues in wireless sensor networks. A research an indoor location based on wireless sensor network and fuzzy inference system get adaptive weighted centroid localization of object in this thesis. With the same number of reference sensor nodes, simulation results show that a closer spacing and proper deployment can lead to a better accuracy in location. It can be shown that a uniform distribution and increase the numbers of reference sensor nodes will offer the best performance in location. In addition, an optimization of the weighting from the fuzzy inference system through cubic weights can have a better location result than that of the inverse of the quadratic of weights.