• DocumentCode
    3609534
  • Title

    Performance optimisation for visitor information systems using smart sensors and analysis of trial data

  • Author

    Farnham, Tim

  • Author_Institution
    Telecommun. Res. Lab., Toshiba Res. Eur. Ltd., Bristol, UK
  • Volume
    4
  • Issue
    6
  • fYear
    2015
  • Firstpage
    329
  • Lastpage
    337
  • Abstract
    Exploitation of smart sensor data has the potential to significantly improve the way in which content is wirelessly delivered to end user devices within visitor attractions. Content delivery over wireless infrastructure can use knowledge and predictions of performance for intelligently prefetching and adaptively exploiting opportunities in order to enhance the overall user experience. The advantage of this approach over prior static multicast and on-demand approaches is that it is possible to exploit location awareness (such as using global positioning system, iBeacons) combined with accelerometer and compass and other sensors, to plan and adapt content delivery in a more efficient and flexible manner. This study assesses different options for prioritisation and prefetching of content over dedicated wireless fidelity off-load infrastructure to compare the ability to satisfy the user demands. The overall assessment, based on trials performed at two visitor attractions, shows that intelligent predictive prefetching of content can greatly reduce the need for expensive infrastructure compared with alternative static reliable multicast or on-demand delivery strategies.
  • Keywords
    data analysis; intelligent sensors; mobile computing; accelerometer; content delivery; intelligent predictive prefetching; location awareness; ondemand delivery strategies; performance optimisation; smart sensors; trial data analysis; visitor information systems; wireless fidelity off-load infrastructure;
  • fLanguage
    English
  • Journal_Title
    Networks, IET
  • Publisher
    iet
  • ISSN
    2047-4954
  • Type

    jour

  • DOI
    10.1049/iet-net.2015.0007
  • Filename
    7312538