Disaster-FD: Federated Failure Detection in Disaster Scenarios

This paper explores advanced features of Disaster-FD, a failure detector tailored for disaster-prone environments, with a specific focus on real-time monitoring of Internet of Things (IoT) networks. Leveraging federated monitoring, Disaster-FD enables the monitoring of geographically distributed regions to enhance network resilience. Inspired by Impact-FD, our proposed algorithm incorporates active monitoring and federated capabilities to ensure network reliability under adverse conditions. We conducted comprehensive experiments on the IoT-LAB platform to evaluate the robustness and resilience of Disaster-FD during potential disaster scenarios. These experiments assessed key parameters, including reliability thresholds, confidence levels, and impact factors, while ensuring efficient energy consumption and maintaining high network trust. Extensive evaluations, involving up to four geographically distinct regions in France and nearly a hundred IoT devices, demonstrate the effectiveness of Disaster-FD. Our findings highlight the potential of the algorithm to improve disaster response through enhanced IoT network monitoring, and we outline future directions for further development and optimization.