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2005•Unpublished venueRequires access

Indoor Location Using Trilateration Characteristics

Beverley Cook, G Buckberry, I Scowcroft, John Mitchell, Theodore T. Allen

Open publisher page 38 citations

Abstract

Abstract: This paper proposes a method for indoor location that uses the results of trilateration of Wi-Fi signal strength to learn what is expected at specific locations. It discusses why indoor location is needed, and the reasons for using Wi-Fi networks as the basis of the location process. It also describes the problems with trilateration using radio signals, and introduces some proposals to improve the precision of the trilateration algorithm. 1.

About this research paper

What this paper is about

Abstract: This paper proposes a method for indoor location that uses the results of trilateration of Wi-Fi signal strength to learn what is expected at specific locations. It discusses why indoor location is needed, and the reasons for using Wi-Fi networks as the basis of the location process. It also describes the problems with trilateration using radio signals, and introduces some proposals to improve the precision of the trilateration algorithm. 1.

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OpenAlex reports 38 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

Abstract: This paper proposes a method for indoor location that uses the results of trilateration of Wi-Fi signal strength to learn what is expected at specific locations. It discusses why indoor location is needed, and the reasons for using Wi-Fi networks as the basis of the location process. It also describes the problems with trilateration using radio signals, and introduces some proposals to improve the precision of the trilateration algorithm. 1.

Key concepts: Trilateration, Computer science, Process (computing), Signal strength, Real-time computing, Computer network, Geography, Wireless sensor network

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