合作定位：利用人群間鄰近連結改善無線網路定位系統之準確性

Abstract

位置感知服務可藉由準確及可靠的室內定位系統獲得幫助。現今普遍設置的802.11x無線網路架構使得利用此無線網路作為定位的服務僅需要極小的額外花費。雖然近來各項研究已發表出準確性及效能令人滿意的結果，但事實上，當人群擁擠或移動時，定位系統的誤差卻會急遽地增加。這篇論文提出了合作定位的方式，利用在同一人群中，鄰近且定位較精準的其他使用者的資訊，來增進定位系統的效能。我們利用了 Zigbee 無線電來偵測鄰近的使用者。這篇論文介紹了合作定位的基本模型及演算法。我們在各種不同形式所組成的人群中進行實驗。實驗結果表示，在將我們的方法套用至一個商業的定位系統 Ekahau 之後，使得定位系統的準確性增加了28.2% 到 56% 的效能。

Location-aware services can benefit from accurate and reliable indoor location tracking. The widespread adoption of 802.11x wireless LAN as the network infrastructure creates the opportunity to deploy WiFi-based location services with few additional hardware costs. While recent research has demonstrated adequate performance, localization error increases significantly in crowded and dynamic situations due to electromagnetic interferences. This paper proposes collaborative localization as an approach to enhance position estimation by leveraging more accurate location information from nearby neighbors within the same cluster. The current implementation utilizes ZigBee radio as the neighbor-detection sensor. This paper introduces the basic model and algorithm for collaborative localization. We also report experiments to evaluate its performance under a variety of clustering scenarios. Our results have shown 28.2-56% accuracy improvement over the baseline system Ekahau, a commercial WiFi localization system.