ZigBee-based indoor location system by k-nearest neighbor algorithm with weighted RSSI
作者： Chih-Ning Huang , Chia-Tai Chan , None
DOI: 10.1016/J.PROCS.2011.07.010
关键词:
摘要: Abstract With the advances in information and communication technologies, wireless sensor networks has made Ambient Intelligence (AmI) applications possible that can monitor situation around persons or objects give certain responses for their needs. The location awareness is an important technology AmI applications. advantages of ZigBee such as low cost, high scalability, availability supporting dynamic routing topology make more suitable indoor system. In this research, we propose a ZigBEe-bAsed loCatiON (ZigBEACON) system proposed approach based on k-nearest neighbor algorithm. According to Received Signal Strength Indication's (RSSI) path loss distribution, RSSI values are defined into four classes. signals belong different classes will be adjusted by ratio referred weighted RSSI. use effectively choose p-nearest reference nodes. Finally, position mobile node would derived calculating coordinates pnearest Comparing results with ZigBee-based LANDMARC system, our 29% improvement average error distance. not only improves accuracy, but also provides less calculation complexity than other methods LANDMARC. ZigBEACON adequate solution
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