ItemArticle

An algorithm to detect an object in a confined space by using improved fingerprinting approach

Title
An algorithm to detect an object in a confined space by using improved fingerprinting approach
Creator
Immanual; Sebastian S.
Description
The rapid evolution of location-based services has made tremendous changes in the society. In this paper, Trilateration method is implemented in fingerprinting methodology to obtain very precise and low error position details of the client portable device. Trilateration is a method in which the portable device is determined by the received signal strength intersecting at one position from the three reference points. Fingerprinting method involves several steps like training stage and positioning stage in which the training stage consists of the creation of the database of the signal strengths along with its associated location measurements. In the positioning step where effective and efficient received signal strength collected from the portable device is matched with the data saved into the database to get the position information of the client. The position of the user is estimated by collecting the received signal strengths from three reference points by using the concepts of trilateration approach in fingerprinting methodology to obtain more precise and accurate information. 2005 - ongoing JATIT & LLS.
Source
Journal of Theoretical and Applied Information Technology, Vol-97, No. 9, pp. 2526-2538.
Date
2019-01-01
Publisher
Little Lion Scientific
Subject
Fingerprinting; Indoor positioning system; Received signal strength; Trilateration; Wi-Fi
Coverage
Immanual, Department of Computer Science, Christ (Deemed to be University), Bengaluru, 560029, Karnataka, India; Sebastian S., Department of Computer Science, Christ (Deemed to be University), Bengaluru, 560029, Karnataka, India
Rights
Restricted Access
Relation
ISSN: 19928645
Format
Online
Language
English
Type
Article

Collection

Articles

Citation

Immanual; Sebastian S., “An algorithm to detect an object in a confined space by using improved fingerprinting approach,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/16723.

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