REGION UNCERTAINTY FOR EXTENDING DETECTION RANGE IN BINARY SENSOR NETWORKS

Abstract

The Internet of Things (IoT) is characterized by interconnected physical entities equipped with sensors and actuators, facilitating data gathering and sharing for informed decision-making. Central to the IoT infrastructure is the Wireless Sensor Network, with Binary Sensor Networks gaining prominence over traditional models. This shift is attributed to the scalability and cost-effectiveness of deploying numerous uncomplicated devices, which operate with limited resources. Unlike conventional approaches reliant on Received Signal Strength, binary sensors offer a robust alternative by delivering binary reports based on predefined thresholds, simplifying presence detection. This binary data profoundly impacts network coverage, deployment strategies, and accuracy in localization and tracking pursuits. This study examines various problem-solving methodologies utilizing binary information, as addressed by diverse research groups.