• DocumentCode
    160435
  • Title

    The development of a visualization framework for fishing vessels at sea

  • Author

    Rakesh, K. ; Sunanda, S.

  • Author_Institution
    Amrita Center for Wireless Networks & Applic., Amrita Vishwa Vidyapeetham, Kollam, India
  • fYear
    2014
  • fDate
    11-13 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Security and disaster alert dissemination showcase the key challenges faced by the fishing industry, mainly due to the lack of reliable communication means, and can pose serious threats to the lives of the fishermen. The fishing vessels, equipped with appropriate transceivers, can be considered as MANETs (Mobile Ad-hoc Networks) at sea, and communication can happen in a hop by hop manner. The availability of a visualization framework for such a system enables authorities on the shore to get information on vessel locations, their transmission ranges, and other information, in near real-time, and display them. The visualization framework will aid in selecting the most favorable routing algorithm and will help to track and locate the vessels. The system is designed to enable the users to access it through a web browser, and is developed using the latest web technologies such as HTML5, websockets and Google Maps API V3. The system architecture, implementation details and the results obtained are discussed in this paper.
  • Keywords
    Internet; data visualisation; online front-ends; Google Maps API V3; HTML5; MANET; Web browser; disaster alert dissemination; fishing vessels; mobile ad-hoc networks; routing algorithm; security; transceivers; transmission ranges; vessel locations; visualization framework; websockets; Global Positioning System; Logic gates; Marine vehicles; Monitoring; Real-time systems; Servers; Visualization; Google Maps API; MANETs; shore stations; websockes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on
  • Conference_Location
    Hefei
  • Print_ISBN
    978-1-4799-2695-4
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2014.6963077
  • Filename
    6963077