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báo cáo hóa học: " Automated linear regression tools improve RSSI WSN localization in multipath indoor environment"

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: Automated linear regression tools improve RSSI WSN localization in multipath indoor environment | Vanheel et al. EURASIP Journal on Wireless Communications and Networking 2011 2011 38 EURASIP Journal on . http jwcn.eurasipjournals.eom content 20ii i 38 Wireless Communications and Networking a SpringerOpen Journal RESEARCH Open Access Automated linear regression tools improve RSSI WSN localization in multipath indoor environment 1 1 2 2 2 Frank Vanheel Jo Verhaevert Eric Laermans Ingrid Moerman and Piet Demeester Abstract Received signal strength indication RSSI -based localization is emerging in wireless sensor networks WSNs . Localization algorithms need to include the physical and hardware limitations of RSSI measurements in order to give more accurate results in dynamic real-life indoor environments. In this study we use the Interdisciplinary Institute for Broadband Technology real-life test bed and present an automated method to optimize and calibrate the experimental data before offering them to a positioning engine. In a preprocessing localization step we introduce a new method to provide bounds for the range thereby further improving the accuracy of our simple and fast 2D localization algorithm based on corrected distance circles. A maximum likelihood algorithm with a mean square error cost function has a higher position error median than our algorithm. Our experiments further show that the complete proposed algorithm eliminates outliers and avoids any manual calibration procedure. Keywords algorithm design and analysis correlation and regression analysis wireless sensor networks localization 1 Introduction Wireless sensor networks WSNs are expected to offer a cheap solution not only for monitoring and control applications but also for more advanced applications like location-based services e.g. tracking and tracing of persons and objects indoor guiding of persons in complex buildings offering location-based information etc. . The main requirement for mass deployment of WSNs and corresponding services is the easy installation and configuration which is .