Optical wireless communication based two receiver indoor positioning algorithm

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    77 Downloads (Pure)

    Abstract

    This research focuses on developing a positioning algorithm for Optical Wireless Communication (OWC) based indoor positioning systems. The proposed Two Receiver Indoor Positioning (TRIP) algorithm has the potential to overcome the light beam overlapping problem and locate the position of an object in an indoor environment precisely. The current research builds upon a previously proposed positioning algorithm named Optimal Beam Radius Indoor Positioning (OBRIP) algorithm and proposes the use of two receivers to detect the optical signal to further reduce the error in position estimation while also investigating the best values for important parameters like beam radius of transmitting Light-Emitting Diodes (LED), grid size of LED array and number of LEDs in an array for multiple room shapes. The performance analysis of TRIP algorithm and subsequent comparison with the performance of OBRIP algorithm is also carried out in this research using MATLAB simulations. From the simulation results, this algorithm proves to be effective for a room with floor dimensions of 10 m × 10 m yielding an average error in position estimation whose value is 0.69 m and surpasses the performance of the OBRIP with 30% lesser average error values. Using this technology for indoor positioning and tracking in the medical sector, and extending help to elderly dementia affected patients is a noble and intriguing idea.
    Original languageEnglish
    Title of host publication13th International Wireless Communications and Mobile Computing Conference (IWCMC 2017)
    PublisherIEEE
    Pages653-658
    Number of pages6
    ISBN (Electronic)9781509043729
    ISBN (Print)9781509043736
    DOIs
    Publication statusPublished - 20 Jul 2017

    Publication series

    Name
    ISSN (Electronic)2376-6506

    Fingerprint

    Communication
    Light emitting diodes
    MATLAB

    Keywords

    • optical wireless communication
    • indoor positioning system
    • algorithm

    Cite this

    Ajmani, M., Boutaleb, T., & Sinanovic, S. (2017). Optical wireless communication based two receiver indoor positioning algorithm. In 13th International Wireless Communications and Mobile Computing Conference (IWCMC 2017) (pp. 653-658). IEEE. https://doi.org/10.1109/IWCMC.2017.7986362
    Ajmani, Manisha ; Boutaleb, Tuleen ; Sinanovic, Sinan. / Optical wireless communication based two receiver indoor positioning algorithm. 13th International Wireless Communications and Mobile Computing Conference (IWCMC 2017). IEEE, 2017. pp. 653-658
    @inproceedings{1f2106c7df074df6bfeed63200aafef5,
    title = "Optical wireless communication based two receiver indoor positioning algorithm",
    abstract = "This research focuses on developing a positioning algorithm for Optical Wireless Communication (OWC) based indoor positioning systems. The proposed Two Receiver Indoor Positioning (TRIP) algorithm has the potential to overcome the light beam overlapping problem and locate the position of an object in an indoor environment precisely. The current research builds upon a previously proposed positioning algorithm named Optimal Beam Radius Indoor Positioning (OBRIP) algorithm and proposes the use of two receivers to detect the optical signal to further reduce the error in position estimation while also investigating the best values for important parameters like beam radius of transmitting Light-Emitting Diodes (LED), grid size of LED array and number of LEDs in an array for multiple room shapes. The performance analysis of TRIP algorithm and subsequent comparison with the performance of OBRIP algorithm is also carried out in this research using MATLAB simulations. From the simulation results, this algorithm proves to be effective for a room with floor dimensions of 10 m × 10 m yielding an average error in position estimation whose value is 0.69 m and surpasses the performance of the OBRIP with 30{\%} lesser average error values. Using this technology for indoor positioning and tracking in the medical sector, and extending help to elderly dementia affected patients is a noble and intriguing idea.",
    keywords = "optical wireless communication , indoor positioning system, algorithm",
    author = "Manisha Ajmani and Tuleen Boutaleb and Sinan Sinanovic",
    note = "Acceptance email in SAN",
    year = "2017",
    month = "7",
    day = "20",
    doi = "10.1109/IWCMC.2017.7986362",
    language = "English",
    isbn = "9781509043736",
    publisher = "IEEE",
    pages = "653--658",
    booktitle = "13th International Wireless Communications and Mobile Computing Conference (IWCMC 2017)",

    }

    Ajmani, M, Boutaleb, T & Sinanovic, S 2017, Optical wireless communication based two receiver indoor positioning algorithm. in 13th International Wireless Communications and Mobile Computing Conference (IWCMC 2017). IEEE, pp. 653-658. https://doi.org/10.1109/IWCMC.2017.7986362

    Optical wireless communication based two receiver indoor positioning algorithm. / Ajmani, Manisha; Boutaleb, Tuleen; Sinanovic, Sinan.

    13th International Wireless Communications and Mobile Computing Conference (IWCMC 2017). IEEE, 2017. p. 653-658.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    TY - GEN

    T1 - Optical wireless communication based two receiver indoor positioning algorithm

    AU - Ajmani, Manisha

    AU - Boutaleb, Tuleen

    AU - Sinanovic, Sinan

    N1 - Acceptance email in SAN

    PY - 2017/7/20

    Y1 - 2017/7/20

    N2 - This research focuses on developing a positioning algorithm for Optical Wireless Communication (OWC) based indoor positioning systems. The proposed Two Receiver Indoor Positioning (TRIP) algorithm has the potential to overcome the light beam overlapping problem and locate the position of an object in an indoor environment precisely. The current research builds upon a previously proposed positioning algorithm named Optimal Beam Radius Indoor Positioning (OBRIP) algorithm and proposes the use of two receivers to detect the optical signal to further reduce the error in position estimation while also investigating the best values for important parameters like beam radius of transmitting Light-Emitting Diodes (LED), grid size of LED array and number of LEDs in an array for multiple room shapes. The performance analysis of TRIP algorithm and subsequent comparison with the performance of OBRIP algorithm is also carried out in this research using MATLAB simulations. From the simulation results, this algorithm proves to be effective for a room with floor dimensions of 10 m × 10 m yielding an average error in position estimation whose value is 0.69 m and surpasses the performance of the OBRIP with 30% lesser average error values. Using this technology for indoor positioning and tracking in the medical sector, and extending help to elderly dementia affected patients is a noble and intriguing idea.

    AB - This research focuses on developing a positioning algorithm for Optical Wireless Communication (OWC) based indoor positioning systems. The proposed Two Receiver Indoor Positioning (TRIP) algorithm has the potential to overcome the light beam overlapping problem and locate the position of an object in an indoor environment precisely. The current research builds upon a previously proposed positioning algorithm named Optimal Beam Radius Indoor Positioning (OBRIP) algorithm and proposes the use of two receivers to detect the optical signal to further reduce the error in position estimation while also investigating the best values for important parameters like beam radius of transmitting Light-Emitting Diodes (LED), grid size of LED array and number of LEDs in an array for multiple room shapes. The performance analysis of TRIP algorithm and subsequent comparison with the performance of OBRIP algorithm is also carried out in this research using MATLAB simulations. From the simulation results, this algorithm proves to be effective for a room with floor dimensions of 10 m × 10 m yielding an average error in position estimation whose value is 0.69 m and surpasses the performance of the OBRIP with 30% lesser average error values. Using this technology for indoor positioning and tracking in the medical sector, and extending help to elderly dementia affected patients is a noble and intriguing idea.

    KW - optical wireless communication

    KW - indoor positioning system

    KW - algorithm

    U2 - 10.1109/IWCMC.2017.7986362

    DO - 10.1109/IWCMC.2017.7986362

    M3 - Conference contribution

    SN - 9781509043736

    SP - 653

    EP - 658

    BT - 13th International Wireless Communications and Mobile Computing Conference (IWCMC 2017)

    PB - IEEE

    ER -

    Ajmani M, Boutaleb T, Sinanovic S. Optical wireless communication based two receiver indoor positioning algorithm. In 13th International Wireless Communications and Mobile Computing Conference (IWCMC 2017). IEEE. 2017. p. 653-658 https://doi.org/10.1109/IWCMC.2017.7986362