PDSR: Efficient UAV Deployment for Swift and Accurate Post-Disaster Search and Rescue

Abstract

This article introduces a comprehensive frame-work for Post-Disaster Search and Rescue (PDSR), aiming to optimize search and rescue operations leveraging Unmanned Aerial Vehicles (UAVs). The primary goal is to improve the precision and availability of sensing capabilities, particularly in various catastrophic scenarios. Central to this concept is the rapid deployment of UAV swarms equipped with diverse sensing, communication, and intelligence capabilities, functioning as an integrated system that incorporates multiple technologies and approaches for efficient detection of individuals buried beneath rubble or debris following a disaster. Within this framework, we investigate an architectural solution and address the associated challenges to ensure superior performance in real-world disaster scenarios. The proposed framework is designed to provide comprehensive coverage of affected areas by utilizing a multi-tier swarm architecture with multi-modal sensing capabilities. By integrating data from var-ious sensors and applying machine learning for data fusion, the framework enhances detection accuracy and supports precise survivor identification, even in complex environments.