RETRO: Retroreflector Based Visible Light Indoor Localization for Real-time Tracking of IoT Devices
Document Type
Conference Proceeding
Publication Date
10-8-2018
Abstract
Indoor localization is very important to enable Internet-of-things (IoT) applications. Visible light communication (VLC)-based indoor localization approaches enjoy many advantages, such as utilization of existing ubiquitous lighting infrastructure, high location and orientation accuracy, and no interruption to RF -based devices. However, existing VLC-based localization methods lack a real-time backward channel from the device to landmarks and necessitate computation at the device, which make them unsuitable for real-time tracking of small IoT devices. In this paper, we propose and prototype a retroreflector-based visible light localization system (RETRO), that establishes an almost zero-delay backward channel using a retroreflector to reflect light back to its source. RETRO localizes passive IoT devices without requiring computation and heavy sensing (e.g., camera) at the devices. Multiple photodiodes (i.e., landmarks) are mounted on any single unmodified light source to sense the retroreflected optical signal (i.e., location signature). We theoretically derive a closed-form expression for the reflected optical power related to the location and orientation of the retroreflector, and validate the theory by experiments. The characterization of received optical power is applied to a received signal strength indicator and trilateration based localization algorithm. Extensive experiments demonstrate centimeter-level location accuracy and single-digit angular error.
Identifier
85056156047 (Scopus)
ISBN
[9781538641286]
Publication Title
Proceedings IEEE INFOCOM
External Full Text Location
https://doi.org/10.1109/INFOCOM.2018.8485817
ISSN
0743166X
First Page
1025
Last Page
1033
Volume
2018-April
Recommended Citation
Shao, Sihua; Khreishah, Abdallah; and Khalil, Issa, "RETRO: Retroreflector Based Visible Light Indoor Localization for Real-time Tracking of IoT Devices" (2018). Faculty Publications. 8338.
https://digitalcommons.njit.edu/fac_pubs/8338
