An AI-Enabled Smartphone-Based Self-Rescue System For Disaster Management
Keywords:
Earthquake disaster management, Smartphone-based rescue system, Self-rescue networks, Disaster communication, Wireless ad hoc networks, One-hop communication, Distress signal broadcasting, Search and rescue operations, Infrastructure failure, Emergency response systems, TeamPhone comparison, Golden hour rescue, Network longevity, Simulation-based evaluation, Probability of victim discovery.Abstract
Recent pervasive earthquakes have resulted in extensive disruption of electrical power and cellular infrastructures, endangering innocent lives globally. The extensive seismic disaster has rendered power and communication infrastructure inoperative, while limited manpower and resources have rendered standard rescue efforts and equipment ineffective and protracted, resulting in the loss of critical golden hours. The growing prevalence of powerful wireless devices, such as smartphones, suggests their widespread availability among catastrophe victims, serving as a significant resource for coordinating rescue operations. This study presents a smartphone-based self-rescue system, termed Rescue Me, designed to facilitate disaster rescue and relief activities. The fundamental concept of Rescue Me is that a collection of smartphones possessed by individuals trapped or entombed beneath collapsed structures establishes a one-hop network to transmit distress signals efficiently to neighboring rescue teams to facilitate rescue efforts. We assess the suggested methodology using comprehensive simulation experiments and juxtapose its performance with the established scheme Team Phone. The simulation results demonstrate that the proposed method can markedly decrease the scheduling vacancy for broadcasting distress signals and enhance the probability of discovery with minimal compromise to network longevity, suggesting a potentially effective strategy to accelerate disaster rescue and relief efforts.
