• DocumentCode
    715759
  • Title

    E-HAMC: Leveraging Fog computing for emergency alert service

  • Author

    Aazam, Mohammad ; Eui-Nam Huh

  • Author_Institution
    Comput. Eng. Dept., Kyung Hee Univ., Suwon, South Korea
  • fYear
    2015
  • fDate
    23-27 March 2015
  • Firstpage
    518
  • Lastpage
    523
  • 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.
  • Keywords
    Internet of Things; cloud computing; emergency management; mobile computing; E-HAMC; Emergency Help Alert Mobile Cloud; IoT; cloud resources; emergency alert service architecture; emergency related information; fog computing; latency sensitive services; offloading; smart phone based service; Accidents; Cloud computing; Delays; Emergency services; Mobile communication; Synchronization; Vehicles; Edge Computing; Fog computing; M2M; Micro Data Center (MDC); emergency alert; mobile cloud computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference on
  • Conference_Location
    St. Louis, MO
  • Type

    conf

  • DOI
    10.1109/PERCOMW.2015.7134091
  • Filename
    7134091