Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article INEMO: Distributed RF-Based Indoor Location Determination with Confidence Indicator | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 216181 11 pages doi 2008 216181 Research Article INEMO Distributed RF-Based Indoor Location Determination with Confidence Indicator Hongbin Li 1 Xingfa Shen 2 Jun Zhao 1 Zhi Wang 1 and Youxian Sun1 1 State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China 2 Institute of Computer Application Technology Hangzhou Dianzi University Hangzhou 310018 China Correspondence should be addressed to Zhi Wang wangzhi@ Received 1 March 2007 Revised 17 August 2007 Accepted 12 November 2007 Recommended by Rong Zheng Using radio signal strength RSS in sensor networks localization is an attractive method since it is a cost-efficient method to provide range indication. In this paper we present a two-tier distributed approach for RF-based indoor location determination. Our approach namely INEMO provides positioning accuracy of room granularity and office cube granularity. A target can first give a room granularity request and the background anchor nodes cooperate to accomplish the positioning process. Anchors in the same room can give cube granularity if the target requires further accuracy. Fixed anchor nodes keep monitoring status of nearby anchors and local reference matching is used to support room separation. Furthermore we utilize the RSS difference to infer the positioning confidence. The simulation results demonstrate the efficiency of the proposed RF-based indoor location determination. Copyright 2008 Hongbin Li et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION With the recent development of micro-electro-mechanical system MEMS inexpensive networked sensor systems which work autonomously are available for context-aware computing. A .
