Context-Aware Computing Using Rich Contexts for Pervasive Environment

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 308)

Abstract

Applications in pervasive environment are, detect the environmental changes, further processing bountiful supply of information, and respond to the processed information by altering contexts overtly. It aims the interlinking of independent devices, whose purpose is to reinforce the contact between technology and intended human users. Many of the existing applications are not proactive and not in rich context too. The usual reminders will remind, even when the intended user is unavailable, become unknown, and finally expires. We propose rich-context con-minder which is rich in context and supports events to be updated and expired automatically after completion of the task. Allure of our proposal is, to grant the reminder in the suitable real-time situation with respect to user, physical, and environmental behaviors. It is a deliberate attempt to provide a soft real-time system which proactively determines suitable timing to deliver them in the appropriate situation.

Keywords

Pervasive computing Context Sensing Soft real-time system Rich context 

References

  1. 1.
    Bergqvist, J., Ljungberg, F.: ComCenter: a person oriented approach to mobile communication. Extended abstract. In: Proceedings of CHI 2000, pp. 123–124 (2000)Google Scholar
  2. 2.
    Prabakaran, N., Geetha, K., Janani, K.: Open stream scheme for node level congestion control in wireless sensor network by International Conference and published in IEEE explorer (2011)Google Scholar
  3. 3.
    Dey, A.K., Abowd, G.D.: Towards a better understanding of context and context-awareness. In: CHI 2000 Workshop on the What, Who, Where, When, and How of Context-Awareness (2000)Google Scholar
  4. 4.
    Miyata, Y., Norman, D.A.: Psychological issues in support of multiple activities. In: Norman, D.A., Draper, S.W. (eds.) User Centered Design. pp. 265–284 (1986) (Chapter 13)Google Scholar
  5. 5.
    Byun, H.E., Cheverst, K.: Harnessing context to support proactive behaviours. In: ECAI2002 Workshop on AI in Mobile Systems, Lyon, (2002)Google Scholar
  6. 6.
    Prabakaran, N., Geetha, K., Janani, K.: Data propelling scheme for node level congestion control in wireless sensor network published in IEEE explorer (2012)Google Scholar
  7. 7.
    McFadden, T., Henricksen, K., Indulska, J.: Automating context-aware application development. In: UbiComp 1st International Workshop on Advanced Context Modelling, Reasoning and Management, September 2004, pp. 90–95Google Scholar
  8. 8.
    Nilsson, M., Hjelm, J., Ohto, H.: Composite capabilities/preference profiles: requirements and architecture. W3C Working Draft 21, 2–28 (2000)Google Scholar
  9. 9.
    Kulik, J., Rabiner, W., Balakrishnan, H.: Adaptive protocols for information dissemination in wireless sensor networks. In: Proceedings of ACM MobiCom, Seattle, WA, Aug. 1999, pp. 174–185Google Scholar
  10. 10.
    Sankarsubramaniam, Y., Akan, O.B., Akyildiz, I.F.: ESRT: event to sink reliable transport in wireless sensor network. In: Proceedings of ACM MobiHoc’03Google Scholar

Copyright information

© Springer India 2015

Authors and Affiliations

  • P. Rajasekaran
    • 1
  • N. Prabakaran
    • 2
  • V. Magudeeswaran
    • 1
  1. 1.PSNACETDindigulIndia
  2. 2.SCSE, VIT UniversityVelloreIndia

Personalised recommendations