Distributed and adaptive location identification system for mobile devices
Fahed Awad, Aisha Al-Sadi, Fida'a Al-Quran, Abdulsalam Alsmady

TL;DR
This paper introduces a distributed, adaptive indoor localization system that leverages collaborative signal strength measurements and trilateration, aiming to provide seamless navigation in GPS-obstructed environments.
Contribution
It presents a novel, calibration-free, model-based localization approach that is simple, distributed, and cost-effective, overcoming many limitations of existing indoor positioning systems.
Findings
Simulation results demonstrate high localization accuracy.
Empirical tests confirm system robustness and adaptability.
Potential for integration into future indoor navigation solutions.
Abstract
Indoor location identification and navigation need to be as simple, seamless, and ubiquitous as its outdoor GPS-based counterpart is. It would be of great convenience to the mobile user to be able to continue navigating seamlessly as he or she moves from a GPS-clear outdoor environment into an indoor environment or a GPS-obstructed outdoor environment such as a tunnel or forest. Existing infrastructure-based indoor localization systems lack such capability, on top of potentially facing several critical technical challenges such as increased cost of installation, centralization, lack of reliability, poor localization accuracy, poor adaptation to the dynamics of the surrounding environment, latency, system-level and computational complexities, repetitive labor-intensive parameter tuning, and user privacy. To this end, this paper presents a novel mechanism with the potential to overcome…
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