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      LIPS : A Light Intensity--Based Positioning System for Indoor Environments

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          Abstract

          This article presents a Light Intensity--based Positioning System (LIPS) for indoor environments. The system uses off-the-shelf light-emitting diode lamps as signal sources and light sensors as signal receivers. The design is inspired by the observation that a light sensor has deterministic sensitivity to both the distance and incident angle of a light signal, an under-utilized feature of photodiodes now widely found on mobile devices. We develop a stable and accurate light intensity model to capture the phenomenon, based on which a new positioning principle, Multi-Face Light Positioning , is established that uses three collocated sensors to uniquely determine the receiver’s position, assuming merely a single source of light. We have implemented a prototype on both dedicated embedded systems and smartphones. Experimental results show average positioning accuracy within 0.4m across different environments, with high stability against interferences from obstacles, ambient lights, temperature variation, and so on.

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          Most cited references37

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          The Cricket location-support system

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            LANDMARC: Indoor Location Sensing Using Active RFID

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              The Horus WLAN location determination system

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                Author and article information

                Journal
                ACM Transactions on Sensor Networks
                ACM Trans. Sen. Netw.
                Association for Computing Machinery (ACM)
                1550-4859
                1550-4867
                November 17 2016
                November 17 2016
                : 12
                : 4
                : 1-27
                Affiliations
                [1 ]University of Chinese Academy of Sciences, and SIAT, Chinese Academy of Sciences
                [2 ]SIAT, Chinese Academy of Sciences
                [3 ]Central South University, China
                [4 ]Third Research Institute of Ministry of Public Security, China
                [5 ]Temple University
                [6 ]University of Minnesota
                Article
                10.1145/2953880
                5890ffd0-66a3-48ac-ab7e-313a542e8283
                © 2016

                http://www.acm.org/publications/policies/copyright_policy#Background

                History

                Quantitative & Systems biology,Biophysics
                Quantitative & Systems biology, Biophysics

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