Skip to main content

Context-Aware Pervasive Systems

  • Chapter
  • First Online:

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 169))

Abstract

In the design of a pervasive system, the important element is the context. The context information has brought value to the user services and will exponentially increase the business in the coming years. The context and context management will help to understand the user requirements in precise and stands the heart-core element of the context-aware computing system. Having a precise discussion on the context and context management presented in Chap. 2, this chapter has focused on the context-aware pervasive system. The elements of the context-aware computing system are presented at the beginning of this chapter. Also, keen attention has been given on the context-aware network in detail in this chapter. Though the context-aware computing system is promising, it is coming with a few important challenges. This chapter ends with a detailed description of the issues and challenges.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   99.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Barkhuus, L., Dey, A.: Is context-aware computing taking control away from the user? Three levels of interactivity examined. In: International Conference on Ubiquitous Computing, pp. 149–156. Springer, Berlin, Heidelberg, Oct 2003

    Chapter  Google Scholar 

  2. Alegre, U., Augusto, J.C., Clark, T.: Engineering context-aware systems and applications: a survey. J. Syst. Softw. 117, 55–83 (2016)

    Article  Google Scholar 

  3. Loke, S.: Context-aware pervasive systems: architectures for a new breed of applications. CRC Press, Boca Raton (2006)

    Google Scholar 

  4. Perera, C., et al.: Context aware computing for the internet of things: a survey. IEEE Commun. Surv. Tutor. 16(1), 414–454 (2014)

    Article  MathSciNet  Google Scholar 

  5. Salehie, M., Tahvildari, L.: Self-adaptive software: landscape and research challenges. ACM Trans. Auton. Adapt. Syst. 4, 1–42 (2009)

    Article  Google Scholar 

  6. Brun, Y., Serugendo, G.M., Gacek, C., Giese, H., Kienle, H., Litoiu, M., Muller, H., Pezze, M., Shaw, M.: Engineering self-adaptive systems through feedback loops, In: Software Engineering for Self-Adaptive Systems. Lecture Notes in Computer Science, vol. 5525, pp. 48–70. Springer, Berlin (2009)

    Chapter  Google Scholar 

  7. IBM Corporation: An architectural blueprint for autonomic computing. White Paper, 4th edn. IBM Corporation (2006)

    Google Scholar 

  8. Indulska, J., Sutton, P.: Location management in pervasive systems. In: Proceedings of Workshop Conference on the Australasian Information Security ACSW Frontiers, vol. 21, pp. 143–151, Jan 2003

    Google Scholar 

  9. Cheng, B.H.C., de Lemos, R., Giese, H., Inverardi, P., Magee, J., Andersson, J., Becker, B., Bencomo, N., Brun, Y., Cukic, B., Serugendo, G.M., Dustdar, S., Finkelstein, A., Gacek, C., Geihs, K., Grassi, V., Karsai, G., Kienle, H.M., Kramer, J., Litoiu, M., Malek, S., Mirandola, R., Muller, H.A., Park, S., Shaw, M., Tichy, M., Tivoli, M., Weyns, D., Whittle, J.: Software engineering for self-adaptive systems: a research roadmap. In: Software Engineering for Self-Adaptive Systems. Lecture Notes in Computer Science, vol. 5525, pp. 1–26. Springer, Berlin (2009)

    Chapter  Google Scholar 

  10. Tennenhouse, D.: Proactive computing. Commun. ACM 43(5), 43–50 (2000)

    Article  Google Scholar 

  11. Zampunieris, D.: Implementation of a proactive learning management system. In: Proceedings of E-learn, pp. 3145–3151. AACE Press (2006)

    Google Scholar 

  12. Coronado, S., Zampunieris, D.: Towards a proactive learning management system using early activity detection. In: International Conference on Society for Information Technology & Teacher Education (SITE08), vol. 1, pp. 306–311. AACE Publishing (2008)

    Google Scholar 

  13. Dobrican, R., Zampunieris, D.: Supporting collaborative learning inside communities of proactive through proactive computing. In: Proceedings of the 5th Annual International Conference on Education and New Learning Technologies (EDULEARN13), pp. 5824–5833 (2013)

    Google Scholar 

  14. Krupitzer, C., Roth, F.M., Van Syckel, S., Schiele, G., Becker, C.: A survey on engineering approaches for self-adaptive systems. Perv. Mobile Comp. J. 17(B), 184206 (2015)

    Article  Google Scholar 

  15. Mansor, A.A., Kadir, W.M.W., Elias, H.: Policy-based approach for dynamic architectural adaptation: a case study on location-based system. In: 5th Malaysian Conference on Software Engineering (MySEC), pp. 171–176, IEEE, Dec 2011

    Google Scholar 

  16. Klus, H., Niebuhr, D., Rausch, A.: A component model for dynamic adaptive systems. International Workshop on Engineering of Software Services for Pervasive Environments: In Conjunction with the 6th ESEC/FSE Joint Meeting, pp. 21–28, ACM (2007)

    Google Scholar 

  17. Mizouni, R., Serhani, M.A., Benharref, A., Al-Abassi, O.: Towards battery-aware self-adaptive mobile applications. In: Proceedings of the 9th International Conference on Services Computing (SCC), pp. 439–445, IEEE, June 2012

    Google Scholar 

  18. Karadimce, A., Bogatinoska, D.C.: Using hybrid mobile applications for adaptive multimedia content delivery. In: Proceedings of the 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 686–691, May 2014

    Google Scholar 

  19. Al-Karaki, J.N., Kamal, A.E.: Routing techniques in wireless sensor networks: a survey. Wirel. Commun. IEEE 11(6), 6–28 (2004)

    Article  Google Scholar 

  20. Sankarasubramaniam, Y., Akan, Ö.B., Akyildiz, I.F.: ESRT: event-to-sink reliable transport in wireless sensor networks. In: Proceedings of the 4th ACM International Symposium on Mobile Ad Hoc Networking & Computing (MobiHoc), pp. 177–188 (2003)

    Google Scholar 

  21. Kannan, R., Sarangi, S., Iyengar, S.S.: Sensor-centric energy-constrained reliable query routing for wireless sensor networks. J. Parallel Distrib. Comput. 64(7), 839–852 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Parikshit N. Mahalle .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Mahalle, P.N., Dhotre, P.S. (2020). Context-Aware Pervasive Systems. In: Context-Aware Pervasive Systems and Applications. Intelligent Systems Reference Library, vol 169. Springer, Singapore. https://doi.org/10.1007/978-981-32-9952-8_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-32-9952-8_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9951-1

  • Online ISBN: 978-981-32-9952-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics