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

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

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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.

References

    1. 1)
    2. 2)
      • 2. Choi, M., Sun, W., Koo, J., et al: ‘Reliable video multicast over Wi-Fi networks with coordinated multiple aps’. Proc. INFOCOM, 2014, April 2014, pp. 424432.
    3. 3)
    4. 4)
      • 4. Farnham, T.:IPTV delivery using cognitive radio principles’. 2011 IEEE Symp. on Proc. New Frontiers in Dynamic Spectrum Access Networks (DySPAN), May 2011, pp. 618622.
    5. 5)
      • 5. Farnham, T.: ‘Adaptive cognitive media delivery over composite wireless networks’, EURASIP J. Wirel. Commun. Netw., 2011, (1), pp. 112.
    6. 6)
      • 6. San Diego Zoo App.. Available at http://www.zoo.sandiegozoo.org/content/zoo-apps, accessed May 2015.
    7. 7)
      • 7. Disney theme parks App.. Available at http://www.disneyparks.disney.go.com/show-your-disneyside-mobile-app/, accessed May 2015.
    8. 8)
      • 8. London Zoo App.. Available at http://www.zsl.org/zsl-london-zoo/visitor-information/zsl-london-zoo-smart-phone-app, accessed May 2015.
    9. 9)
      • 9. Bluetooth Low Energy. Available at http://www.bluetooth.com/Pages/low-energy-tech-info.aspx, accessed May 2015.
    10. 10)
      • 10. Postgis database. Available at http://www.postgis.org, accessed May 2015.
    11. 11)
      • 11. Hrovat, A., Ozimek, I., Vilhar, A., et al: ‘Radio coverage calculations of terrestrial wireless networks using an open-source GRASS system’, WSEAS Trans. Commun., 2010, 9, (10), pp. 646657.
    12. 12)
      • 12. Online vector image processing tool. Available at http://www.vectormagic.com, accessed May 2015.
    13. 13)
      • 13. Farnham, T.:REM based approach for hidden node detection and avoidance in cognitive radio networks’. Proc. Global Communications Conf. (GLOBECOM), December 2012, pp. 13911397.
    14. 14)
      • 14. IEEE 802.11n: ‘IEEE 802.11n-2009 – Amendment 5: Enhancements for Higher Throughput’, 2009.
    15. 15)
      • 15. IEEE 802.11ac: ‘IEEE 802.11ac/D5.0, Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) specifications: Enhancements for very high throughput for operation in bands below 6 GHz’, 2013.
    16. 16)
      • 16. Akhshabi, S., Begen, A., Dovrolis, C.: ‘An experimental evaluation of rate-adaptation algorithms in adaptive streaming over HTTP’. Proc. ACM Multimedia Systems Conf., February 2011, pp. 157168.
    17. 17)
      • 17. Liechty, L.: ‘Path loss measurements and model analysis of 2.4 GHz wireless network in an outdoor environment’. MSc thesis, Georgia Institute of Technology, 2007.
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