A mobile ad hoc cloud for automated video surveillance system

Minseok Jang, Myong Soon Park, Sayed Chhattan Shah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Mobile automated video surveillance systems deployed in mobile environments are used to monitor and analyze numerous situations and take necessary actions in real time. These systems include various mobile nodes equipped with numerous sensors and involve application of sophisticated image and video processing algorithms. The execution of these algorithms requires a vast amount of computing and storage resources. To address the issue a traditional approach is to send collected data to an application on a cloud accessible through an infrastructure-based system such as cellular network. This approach has several issues such as high transmission energy consumption and communication latency. In addition, this approach cannot be used in situations where pre-existing communication infrastructure is not available. This paper focuses on a recent approach in which multiple mobile devices interconnected through a mobile ad hoc network are combined to create a virtual supercomputing node called a mobile ad hoc cloud which is then used to support execution of automated video surveillance application. In order to fulfil real-time requirements associated with automated video surveillance application, a task allocation scheme has been proposed. Compared to existing schemes, proposed scheme focuses on deadline-oriented tasks and energy efficiency.

Original languageEnglish
Title of host publication2017 International Conference on Computing, Networking and Communications, ICNC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1001-1005
Number of pages5
ISBN (Electronic)9781509045884
DOIs
Publication statusPublished - 2017 Mar 10
Event2017 International Conference on Computing, Networking and Communications, ICNC 2017 - Silicon Valley, United States
Duration: 2017 Jan 262017 Jan 29

Other

Other2017 International Conference on Computing, Networking and Communications, ICNC 2017
CountryUnited States
CitySilicon Valley
Period17/1/2617/1/29

Keywords

  • Ad hoc networks
  • Mobile cloud
  • Mobile video survillance
  • Resource management

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • Cite this

    Jang, M., Park, M. S., & Shah, S. C. (2017). A mobile ad hoc cloud for automated video surveillance system. In 2017 International Conference on Computing, Networking and Communications, ICNC 2017 (pp. 1001-1005). [7876271] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCNC.2017.7876271