NDLI: A novel localization algorithm for Internet of Things in 3D

Content Provider	IEEE Xplore Digital Library
Author	Imtiaz ul Haq, M. Dongwoo Kim
Copyright Year	2015
Description	Author affiliation: Dept. of Electron. & Commun. Eng., Hanyang Univ., Ansan, South Korea (Imtiaz ul Haq, M.; Dongwoo Kim)
Abstract	With the increasing demand of smart objects in our everyday life promotes an advance generation of communications under the umbrella of the Internet of Things (IoT). For IoT, location-based service is one of the main service, while localization accuracy is a primary problem. Rather than linearizing the nonlinear cost function, we propose a novel subspace algorithm by using the time of arrival (TOA) measurements. Our propose algorithm provide closed-form solution and is validated to be robust even for large measurement noise, as the dimension awareness and eigenstructure of scalar product matrix is used. We evaluate the proposed algorithm by comparing with Cramér-Rao Lower Bound (CRLB) and show its performance through simulation experiments using MATLAB.
Starting Page	237
Ending Page	241
File Size	651533
Page Count	5
File Format	PDF
e-ISBN	9781467371162
DOI	10.1109/ICTC.2015.7354537
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-28
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Internet of things Internet of Things (IoT) Root mean square error (RMSE) Time of arrival (TOA) Cramér-Rao lower bound (CRLB) Time measurement Sensors Noise measurement Signal to noise ratio Global Positioning System
Content Type	Text
Resource Type	Article

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