Fog-based Crime-Assistance in Smart IoT Safety Transportation Systems

Neto, Augusto; Zhao, Zhongliang; Rodrigues, Joel; Camboim, Hugo; Braun, Torsten (2018). Fog-based Crime-Assistance in Smart IoT Safety Transportation Systems. IEEE Access, 6, pp. 11101-11111. IEEE 10.1109/ACCESS.2018.2803439

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> Smart Transportation Safety (STS) envisions improving public safety through a significant paradigm shift from today's reactive way for police authority responses on crimes towards a pro-active one. The application of smart surveillance in STS is critical for automatic and accurate identification of events in case of security threats in target environments. Cloud computing reduces costs and high resource consumption of smart surveillance capable STS systems, at the cost of introducing additional latency through far away centralized systems. In this work, the Fog-FISVER framework applies fog computing in smart video surveillance capable STS to enhance crime assistance with low delay. Through Fog-FISVER, in-vehicle and fog infrastructures support autonomous and real-time crime detection on public bus services. A Fog-FISVER laboratory prototype was created and extensive evaluations in a real testbed were performed. Results show that Fog-FISVER delivers outstanding system performance and device survivability behavior over typical STS use cases.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Zhao, Zhongliang

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

ISSN:

2169-3536

Publisher:

IEEE

Language:

English

Submitter:

Sayed Ali Marandi

Date Deposited:

09 Nov 2017 16:43

Last Modified:

18 Mar 2018 02:17

Publisher DOI:

10.1109/ACCESS.2018.2803439

BORIS DOI:

10.7892/boris.106837

URI:

https://boris.unibe.ch/id/eprint/106837

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