Abstract
In the context of fingerprinting (FP) applications, this paper investigates the reduction of quantization levels in the Received Signal Strength Indicator (RSSI) till to its binary representation. One of the common drawbacks of FP is the large data size and consequently the large search space and computational load as a result of either vastness of the positioning area or the finer resolution in the FP grid map. This complexity can be limited reducing the RSSI quantization till to a simple binary indicator at the expense of an increased number of reference points or beacons. This approach turns out to be advantageous for the deployment of FP systems based on diffused beacons equipped with inexpensive technologies, such as Bluetooth Low Energy (BLE) or other technologies for the Internet of Things (IoT). An appropriate quantization and design of RSSI signatures will make possible the deployment of FP in larger areas maintaining the same computational load and/or the desired localization performance. The experimental results confirm promising computational savings without a relevant impact on the localization performance.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
