NDLI: RSSI localization with DB-Assisted Least Error algorithm

Content Provider	IEEE Xplore Digital Library
Author	Jongtack Jung Kangho Kim Seungho Yoo Mungyu Bae Suk Kyu Lee Hwangnam Kim
Copyright Year	2015
Description	Author affiliation: Sch. of Electr. Eng., Korea Univ., Seoul, South Korea (Jongtack Jung; Kangho Kim; Seungho Yoo; Mungyu Bae; Suk Kyu Lee; Hwangnam Kim)
Abstract	RSSI (Received Signal Strength Indication) localization techniques using Wi-Fi presents substantial advantages compared to others. They are light weight both in terms of computation and energy consumption. RSSI localization techniques are mostly used indoors, where many APs (Access Points) are present and no GPS is available. Recently, APs are getting deployed outdoors as well, and urban canyon phenomenon degrades the capability of GPS localization even in outdoor environments, which makes RSSI localization techniques attractive as an outdoor localization solution as well. The downside of RSSI localization is that it is polarized, which means it has either high performance and economic cost or low cost and poor accuracy. Both cases are inadequate for a general deployment; high-cost algorithms can only be deployed in heavily populated area for cost feasibility and the accuracy of low-cost algorithms is nowhere near credible. In this paper, we propose a range-based RSSI localization algorithm that has reasonable accuracy yet has very low cost. The proposed algorithm consists of DB-assistance, ration base algorithm, and an elementary machine learning algorithm. This helps achieving the qualities that can provide a feasible RSSI localization solution that can be employed in a much wider area.
Starting Page	338
Ending Page	343
File Size	490589
Page Count	6
File Format	PDF
ISBN	9781479989935
ISSN	22880712
DOI	10.1109/ICUFN.2015.7182561
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-07
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Machine learning algorithms Accuracy Databases Buildings Mathematical model Least squares methods IEEE 802.11 Standard
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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