Emergency management systems using mobile cloud computing: A survey

Abstract

Among today's rapidly evolving technologies, artificial intelligence plays a significant role in making decisions by a system without any human intervention. An Emergency Management System (EMS) is a decision support system where emergencies such as tsunami, landslide, fire, cyclone, and electrical short circuits can be prevented with prior detection and can be addressed immediately in an efficient way after the emergency occurred. Automation of EMS can avoid or manage multiple emergencies, which alternatively can save lives, economy, and environment. Quality demand response with fast data transfer, error minimized computation, and effective resource utilization is very much essential while developing the EMSs. This will provide a bridge between the technology and emergency responders. Resource-limited smart devices can be made rich in computational behavior by outsourcing their requirements such as storage, virtual servers, and web services using Mobile Cloud Computing (MCC). In this work, we have done a detailed survey on both MCC applications and EMS applications proposed in the literature, and we have also identified the design challenges handled in both MCC and EMS applications. We have presented the design challenges and possible solutions for development of EMS using MCC. We propose an architecture for building an automated EMS using MCC. Finally, we conclude the paper with specific future directions.

Building resilience: Safeguarding Odisha from natural calamities

“…To improve Odisha's readiness and response to disasters, a number of mobile applications have been created (Nanda et al, 2020) [28] . Users can get real-time updates on weather, evacuation routes, and emergency contacts by downloading apps such as "Odisha Disaster Rapid Action Force."…”

Mobile healthcare application on Android OS using cloud computing

“…For a data-intensive video retrieval test scenario, they conducted two evaluation campaigns for both versions and observed the Firebase cloud ( cloud-based) and cloudlet database (cloudlet-based) results. Nanda et al [19] provided an EMS architecture using the MCC system, which offered important suggestions for people to save their lives during fires, floods, hurricanes, earthquakes, tsunamis, and other emergencies.…”