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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
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 | |||||||||
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| 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: |
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| 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: |
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