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Title: On hybrid network coding for visual traffic surveillance
Authors: Ling, Chih Wei
Datta, Anwitaman
Xu, Jun
Keywords: Engineering::Computer science and engineering
Issue Date: 2019
Source: Ling, C. W., Datta, A. & Xu, J. (2019). On hybrid network coding for visual traffic surveillance. Future Generation Computer Systems, 100, 440-455.
Project: 2018-T1-002-076
Journal: Future Generation Computer Systems
Abstract: A large volume of data is generated by traffic surveillance devices such as cameras and sensors integrated into an intelligent transportation system (ITS), a subfield of the Internet of Things (IoT). We argue that network coding can be applied to leverage on an emerging fog architecture that relies on edge resources, to achieve higher throughput, saving up network bandwidth, and provide resilience to link failures, while also achieving simple obfuscation against wire-tapping attacks by linearly combining the source packets. There are two broad linear network coding paradigms in the literature — deterministic and random network coding, each with their own strengths and limitations. With the aid of software-defined network (SDN), we rethink about the possibility of applying a hybrid approach to deal with networks at different scales. Under network conditions that reflect expected network properties of an ITS, our simulation results show that the proposed hybrid approach performs better than other alternates.
ISSN: 0167-739X
DOI: 10.1016/j.future.2019.05.044
Rights: © 2019 Elsevier B.V. All rights reserved. This paper was published in Future Generation Computer Systems and is made available with permission of Elsevier B.V.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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