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Delay-aware accident detection and response system using fog computing

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Dar, Bilal Khalid, Shah, Munam Ali, Islam, Saif Ul, Maple, Carsten, Mussadiq, Shafaq and Khan, Suleman (2019) Delay-aware accident detection and response system using fog computing. IEEE Access, 7 . pp. 70975-70985. doi:10.1109/ACCESS.2019.2910862

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Official URL: http://dx.doi.org/10.1109/ACCESS.2019.2910862

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Abstract

Emergencies, by definition, are unpredictable and rapid response is a key requirement inemergency management. Globally, a significant number of deaths occur each year, caused by excessivedelays in rescue activities. Vehicles embedded with sophisticated technologies, along with roads equippedwith advanced infrastructure, can play a vital role in the timely identification and notification of roadsideincidents. However, such infrastructure and technologically-rich vehicles are rarely available in less devel-oped countries. Hence, in such countries, low-cost solutions are required to address the issue. Systems basedon the Internet of Things (IoT) have begun to be used to detect and report roadside incidents. The majority ofthe systems designed for this purpose involve the use of the cloud to compute, manage, and store information.However, the centralization and remoteness of cloud resources can result in an increased delay that raisesserious concerns about its feasibility in emergency situations; in life-threatening situations, all delays shouldbe minimized where feasible. To address the problem of latency, fog computing has emerged as a middlewareparadigm that brings the cloud-like resources closer to end devices. In light of this, the research proposed hereleverages the advantages of sophisticated features of smartphones and fog computing to propose and developa low-cost and delay-aware accident detection and response system, which we term Emergency Responseand Disaster Management System (ERDMS). An Android application is developed that utilizes smartphonesensors for the detection of incidents. When an accident is detected, a plan of action is devised. Initially,a nearby hospital is located using the Global Positioning System (GPS). The emergency department of thehospital is notified about the accident that directs an ambulance to the accident site. In addition, the familycontacts of the victim are also informed about the accident. All the required computation is performed onthe nearby available fog nodes. Moreover, the proposed scheme is simulated using iFogSim to evaluate andcompare the performance using fog nodes and cloud data centers.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Internet of things -- Security measures
Journal or Publication Title: IEEE Access
Publisher: IEEE
ISSN: 2169-3536
Official Date: 1 May 2019
Dates:
DateEvent
1 May 2019Available
1 April 2019Accepted
Volume: 7
Page Range: pp. 70975-70985
DOI: 10.1109/ACCESS.2019.2910862
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/N510129/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
UNSPECIFIEDAlan Turing Institutehttp://dx.doi.org/10.13039/100012338

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