IOT Driven Disaster Alerting System for Smart Resilience
Natural Disasters have threatened mankind since history started. Due to geographic application installed on shelter place like school, college temple. The system can register the receivers such that rescue team to send the notification for help. By sending the current position obtained by GPS and including shortest path of shelter or safe zone on the map of the application. Disaster recovery operations are extremely challenging and place significant demands on multiple resources, including local and international location and environment change, there are many vulnerable countries to natural disasters. The countries also lack effective disaster preparedness system to confront natural disasters. In addition, the peoples face difficulties in finding safe area or shelter place prior to the occurrence of natural disasters. For this reason, to have proposed a disaster management system and evacuation system for people using IOT device. The system is implemented on black box module because of the burgeoning growth of smart city. The black box device with our emergency response personnel, non-governmental organizations, and the military. In the immediate aftermath of a disaster, one of the most pressing requirements situational awareness (SA) so that resources, including personnel and supplies, may be prioritized to have the most impact and help those in the most need. As the recovery operations continue, the SA needs to be continuously updated based on changing conditions in the affected areas. There are many sources of information to provide SA, including reporting by the victims of the disaster as well as observations made by responding personnel. In this context, SA can be significantly enhanced via information obtained from Internet of Things (IoT) devices, especially in a smart city environment. This paper explores the potential to exploit Smart City IoT capabilities to help with disaster recovery operations. Index Terms - Internet of Things, Accelerometer sensor, Vibration sensor, Disaster Management, Alerting System, Smart city
Institutions
- National Institute of Technology Andhra Pradesh (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-20
- DOI
- https://doi.org/10.5281/zenodo.15252653
- Primary Topic
- Railway Systems and Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00