E-HAMC: Leveraging Fog computing for emergency alert service

Abstract

Timeliness is one the most important factors in emergency management. Emergency notification mechanism has to be hassle free and quick, in order to have efficient response for any disaster, health-fix, act of terrorism, etc. In this paper, we present service architecture for emergency alert, using Fog computing. Fog computing brings cloud resources close to the underlying devices and IoTs, which makes it ideal for latency sensitive services. Furthermore, Fog is used for offloading resource constrained devices. Our smart phone based service, known as Emergency Help Alert Mobile Cloud (E-HAMC) provides a quick way of notifying the relevant emergency dealing department, utilizing the services of Fog for offloading as well as pre-processing purposes. The service sends the location of incident and contacts the appropriate emergency dealing department automatically through already stored contact numbers. The emergency related information is then synchronized automatically from Fog to the Cloud, allowing further analysis and improvement in safety of the people and creates extended portfolio of services for the concerned authorities as well as the users. Performance in most certain scenarios is also evaluated and presented in this study, which shows the applicability of our system and its future prospects.

Mobile edge computing, Fog et al.: A survey and analysis of security threats and challenges

“…support for decentralized and distributed execution platforms) they could be implemented in other related paradigms as well. Scenarios that have been defined mostly for fog computing, such as IoT node pairing services [58], context-aware data analytics platforms [59], and emergency notification mechanisms [60] could also be deployed in MEC and cloudlet infrastructures. Lastly, there are various supporting services that, even if they have been developed with a single paradigm on mind, they can be adapted to other paradigms.…”

A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges

“…However, none of them meets the heterogeneity (C1), the scalability (C3), and the federation (C5) criteria. Moreover, the mobility criterion (C4) is met only by Aazam et al [81] and the interoperability criterion (C6) is met only by Xu et al [79].…”

“…However, they propose no general solution. For instance, the work on vehicular applications (e.g., [71], [72], [73]) focuses on the fog nodes' mobility when other works, such as healthcare-oriented ones (e.g., [69], [81]), exclusively focused on IoT devices' mobility.…”

Fog Computing: An Overview of Big IoT Data Analytics

“…However, fog deployed gateways are used mostly to improve the whole health care systems by improved QoS, like ECG feature extraction. Aazam and Huh [102] proposed a smart phone application work, named Emergency Help Alert Mobile Cloud, which operates in fog environment for preprocessing and offloading for real-time response reporting to an appropriate emergency department (e.g., ambulance) with the help of already stored contact details. These services can make a better help system to identify the incident locations as well as make possibilities to tracing the patients.…”