TY - JOUR
T1 - Design and analysis of collision reduction algorithms for LED-based indoor positioning with simulation and experimental validation
AU - Popoola, Olaoluwa R.
AU - Sinanovic, Sinan
N1 - OA in IEEE Access, no CC licence info available - ET
Author added email below.
Journal paper acceptance email:
29-Jan-2018
Dear Mr. Popoola:
Your manuscript entitled "Design and Analysis of Collision Reduction Algorithms for LED-based Indoor Positioning with Simulation and Experimental Validation" has been accepted for publication in IEEE Access. The comments of the reviewers who reviewed your manuscript are included at the foot of this letter. We ask that you make changes to your manuscript based on those comments, before uploading final files. However, NO CHANGES to the references will be permitted, even if suggested by the reviewers.
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PY - 2018/2/9
Y1 - 2018/2/9
N2 - In this paper, we develop a low complexity indoor positioning system (IPS) and design a lightweight, low-cost, and wearable receiver for it. The accuracy of proximity-based LED IPS has been improved using overlap between LED beams but LED packets in the overlap region are subject to collisions. In this paper, we design collision handling algorithms for the IPS that considers building and lighting infrastructures. Mathematical analyses of the proposed algorithms are done and models for the probability of collisions are developed. The models, which are verified using simulations, are used to calculate the time required for position update called positioning time. Analysis of the positioning time is done for single and multiple receivers systems and validated with experimental measurements. Results show positioning error as low as 56 cm with a positioning time of about 300 ms for slotted unsynchronized systems and 500 ms for unslotted unsynchronized systems which makes the developed system pragmatic and appropriate for human positioning.
AB - In this paper, we develop a low complexity indoor positioning system (IPS) and design a lightweight, low-cost, and wearable receiver for it. The accuracy of proximity-based LED IPS has been improved using overlap between LED beams but LED packets in the overlap region are subject to collisions. In this paper, we design collision handling algorithms for the IPS that considers building and lighting infrastructures. Mathematical analyses of the proposed algorithms are done and models for the probability of collisions are developed. The models, which are verified using simulations, are used to calculate the time required for position update called positioning time. Analysis of the positioning time is done for single and multiple receivers systems and validated with experimental measurements. Results show positioning error as low as 56 cm with a positioning time of about 300 ms for slotted unsynchronized systems and 500 ms for unslotted unsynchronized systems which makes the developed system pragmatic and appropriate for human positioning.
KW - LEDs
KW - collision reduction
KW - algorithms
KW - Positioning
KW - Microcontroller
KW - Light emitting diodes
KW - Overlap
KW - Unsynchronized
KW - Indoor
KW - Localization
KW - Wearable
U2 - 10.1109/ACCESS.2018.2801626
DO - 10.1109/ACCESS.2018.2801626
M3 - Article
SN - 2169-3536
VL - 6
SP - 10754
EP - 10770
JO - IEEE Access
JF - IEEE Access
ER -