iLocator—A low cost IoT-based hybrid architecture for tracking and locating objects in indoor environments

Abstract

The tracking of objects in external environments is well established in the literature. Various approaches are based on the data provided by satellite navigation systems. However, this type of technology does not offer the accuracy and precision needed for the location and tracking of objects inside buildings, factories, hospitals, or any other place that is not open-air. This paper presents a novel hybrid low-cost architecture for locating and tracking objects in indoor environments. The proposed solution is based on the concepts of the internet of things, modularity, and low energy consumption, aiming to enhance the usability of the tracking system by using only off-the-shelf components that are easily purchasable and inexpensive. The experimental results indicate high accuracy and the robustness in sending and receiving data, making it feasible to locate objects in indoor environments with obstacles.