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Predictive Assessment of Response Time for Road Traffic Video Surveillance Systems: The Case of Centralized and Distributed Systems

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Internet of Vehicles – Technologies and Services (IOV 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10036))

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Abstract

In this paper, we propose mathematical models for predictive assessment of response times of road traffic video surveillance systems. Their performances depend highly on the ability to perceive mobiles within a certain radius of networked sensors, then distinguish their potential trajectory for further decision making. Most QoS measurements and evaluations used within actual literature are hardware based, and do not consider the influence of the technical architecture. We therefore proposed a process based decomposition of video surveillance systems to obtain functions approximating each ones time consumption. The integration of these components guided us to generic mathematical models validated through experimentations. The comparison between them shows a considerably lower response time for a distributed architecture over a centralized.

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Authors and Affiliations

  1. Laboratoire d’Informatique et de Réseaux Télécoms (LIRT), Département Génie Informatique, École Supérieure Polytechnique de Dakar (ESP/UCAD), Dakar, Senegal

    Papa Samour Diop, Ahmath Bamba Mbacké & Gervais Mendy

Authors
  1. Papa Samour Diop
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  2. Ahmath Bamba Mbacké
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  3. Gervais Mendy
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Corresponding authors

Correspondence to Papa Samour Diop , Ahmath Bamba Mbacké or Gervais Mendy .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Chung Hua University, Hsinchu, Taiwan, Taiwan

    Ching-Hsien Hsu

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Shangguang Wang

  3. Beijing University of Posts and Telecommunications, Beijing, China

    Ao Zhou

  4. The University of Fiji, Suva, Fiji

    Ali Shawkat

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Diop, P.S., Mbacké, A.B., Mendy, G. (2016). Predictive Assessment of Response Time for Road Traffic Video Surveillance Systems: The Case of Centralized and Distributed Systems. In: Hsu, CH., Wang, S., Zhou, A., Shawkat, A. (eds) Internet of Vehicles – Technologies and Services. IOV 2016. Lecture Notes in Computer Science(), vol 10036. Springer, Cham. https://doi.org/10.1007/978-3-319-51969-2_4

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  • DOI: https://doi.org/10.1007/978-3-319-51969-2_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51968-5

  • Online ISBN: 978-3-319-51969-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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