A Survey of Major Challenges and Future Directions for Next Generation Pervasive Computing

  • Yong-Bin Kang
  • Yusuf Pisan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4263)

Abstract

Pervasive computing has emerged as a new computing par- adigm with a great deal with appeal in our everyday environment. However, the benefits offered by this new computing paradigm are relatively below our expected standard. This paper discusses the major challenges for the next generation pervasive computing and the difficulties in developing a promising system to meet these challenges. Then, we present a survey that covers relevant existing approaches addressed to overcome the challenges. Finally, we highlight future research directions and present a new intriguing exploration, aiming to broaden the appeal and bridge the gap for the fulfillment of the challenges.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Weiser, M.: The computer of the twenty-first century. Scientific American 3, 66–75 (1991)Google Scholar
  2. 2.
    Gupta, S., Lee, W.C., Purakayastha, A., Srimani, P.: An overview of pervasive computing. IEEE Personal Communications 4, 8–9 (2001)CrossRefGoogle Scholar
  3. 3.
    Dey, A., Abowd, G., Salber, D.: A context-based infrastructure for smart environments. In: Proceedings of the 1st International Workshop on Managing Interactions in Smart Environments (MANSE 1999), pp. 114–129 (1999)Google Scholar
  4. 4.
    Sheng, Q.Z., Benatallah, B.: Contextuml - a uml-based modelling language for model-driven development of context-aware web services. In: Proceedings of the International Conference on Mobile Business, pp. 206–212 (2005)Google Scholar
  5. 5.
    Barabasi, A., Albert, R.: Emergence of scaling in random netowork. Science 286, 509–512 (1999)CrossRefMathSciNetGoogle Scholar
  6. 6.
    Peters, S., Shrobe, H.: Using semantic networks for knowledge representation in an intelligent environment. In: Proceedings of the IEEE International Conference on Pervasive Computing and Communications, pp. 323–329 (2003)Google Scholar
  7. 7.
    Cetintemel, U., Franklin, M.J., Giles, C.L.: Self-adaptive user profiles for large-scale data delivery. In: Proc. of the 16th International Conf. on Data Engineering, pp. 622–633 (2000)Google Scholar
  8. 8.
    Group, P.C.: Middleware infrastructure for active surroundings. Technical Report TR-CSPG-04-28-001, Information and Communication University (2003)Google Scholar
  9. 9.
    Nelson, G.J.: Context-aware and location systems. A dissertation submitted for the degree of PhD in the University of Cambridge (1998)Google Scholar
  10. 10.
    Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: Proc. of the First International Conference on Pervasive Computing, pp. 15–26 (2002)Google Scholar
  11. 11.
    Hanssens, N., Kulkarni, A., Tuchida, R., Horton, T.: Building agent-based intelligent workspaces. In: ABA Conference Proceedings, pp. 675–681 (2002)Google Scholar
  12. 12.
    Lee, D., Hyun, S.J., Lee, Y.H., Lee, G., Han, S., Kang, S.H., Park, I., Choi, J.: Active surroundings - a group-aware middleware for ubiquitous computing environments. In: Ubiquitous Computing Workshop 2004 (2004)Google Scholar
  13. 13.
    Mani, A., Sundaram, H., Birchfield, D., Qian, G.: The networked home as a user-centric multimedia system. In: NRBC 2004 - Proceedings of the 2004 ACM workshop on Next-generation residential broadband challenges, pp. 19–30 (2004)Google Scholar
  14. 14.
    O’Sullivan, D., Lewis, D.: Semantically driven service interoperability for pervasive computing. In: Proceedings of the 3rd ACM international workshop on Data engineering for wireless and mobile access, pp. 17–24 (2003)Google Scholar
  15. 15.
    Brumitt, B., Meyers, B., Krumm, J., Kern, A., Shafer, S.A.: Easyliving - technologies for intelligent environments. In: Proceedings of the 2nd international symposium on Handheld and Ubiquitous Computing, pp. 12–29 (2000)Google Scholar
  16. 16.
    Coen, M.H.: Design principles for intelligent envrionments. In: Proc. of the 1998 National Conference on Artificial Intelligence (AAAI-1998), pp. 37–43 (1998)Google Scholar
  17. 17.
    Dey, A., Salber, D., Abowd, G.: A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Human-Computer Interaction 16, 97–166 (2001)CrossRefGoogle Scholar
  18. 18.
    Garlan, D., Siewiorek, D., Smailagic, A., Steenkiste, P.: Project aura - toward distraction-free pervasive computing. IEEE Pervasive Computing 2, 22–31 (2002)CrossRefGoogle Scholar
  19. 19.
    Kidd, C., Orr, R., Abowd, G., Atkeson, C., Essa, I., MacIntyre, B., Mynatt, E., Starner, T., Newstetter, W.: The aware home - a living laboratory for ubiquitous computing research. In: Proceedings of the Second International Workshop on Cooperative Buildings, Integrating Information, Organization, and Architecture, pp. 191–198 (1999)Google Scholar
  20. 20.
    Kulkarni, A.: Design principles of a reactive behavioral system for the intelligent room. Bitstream - The MIT Journal of EECS Student Research (2002)Google Scholar
  21. 21.
    Nakajima, T., Fujinami, K., Tokunaga, E., Ishikawa, H.: Middleware design issues for ubiquitous computing. In: Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia, pp. 55–62 (2004)Google Scholar
  22. 22.
    Henricksen, K., Indulska, J.: A software engineering framework for context-aware pervasive computing. In: Proc. of the Second IEEE International Conference on Pervasive Computing and Communications, pp. 77–86 (2004)Google Scholar
  23. 23.
    Sowa, J.F.: Semantic networks. Encyclopedia of Artificial Intelligence (1992)Google Scholar
  24. 24.
    DAML: Darpa markup language (2003), www.daml.org
  25. 25.
    Dean, M., Connolly, D., van Harmelen, F., Hendler, J., Horrocks, I., McGuinness, D.L., Patel-Schneider, P.F. (eds.): L.A.S.: Owl web ontology language 1.0 reference (2002), http://www.w3.org/TR/owl-ref/
  26. 26.
    Brickley, D., Guha, R.V.: Resource description framework (rdf) schema specification 1.0 - rdf schema. W3C Working Draft (2003)Google Scholar
  27. 27.
    Robinson, J., Wakeman, I., Owen, T.: Scooby - middleware for service composition in pervasive computing. In: Proceedings of the 2nd workshop on Middleware for pervasive and ad-hoc computing, vol. 77, pp. 161–166 (2004)Google Scholar
  28. 28.
    Weeds, J., Keller, B., Weir, D., Wakeman, I., Rimmer, J., Owen, T.: Natural language expression of user policies in pervasive computing environments. In: Proceedings of OntoLex 2004, LREC Workshop on Ontologies and Lexical Resources in Distributed Environments (2004)Google Scholar
  29. 29.
    Coen, M., Weisman, L., Thomas, K., Groh, M.: A context sensitive natural language modality for the intelligent room. In: Proceedings of MANSE 1999 (1999)Google Scholar
  30. 30.
    Henricksen, K., Indulska, J.: Developing context-aware pervasive computing applications - models and approach. Pervasive and Mobile Computing 2, 37–64 (2005)CrossRefGoogle Scholar
  31. 31.
    Grimm, R.: System support for pervasive applications. ACM Transactions on Computer Systems 22, 421–486 (2004)CrossRefGoogle Scholar
  32. 32.
    Song, Z., Agre, M.R., Labrou, J., Task, Y.: computing for ubiquitous multimedia services. In: Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia, pp. 257–262 (2004)Google Scholar
  33. 33.
    Dunlop, N., Indulska, J., Raymond, K.: Methods for conflict resolution in policy-based management systems. In: Proc. of the 7th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2003), pp. 98–111 (2003)Google Scholar
  34. 34.
    Wang, B., Bodily, J., Gupta, S.K.: Supporting persistent social group in ubiquitous computing environments using context-aware ephemeral group service. In: Proceedings of Pervasive Computing and Commnunications (PERCOM 2004), pp. 287–296 (2004)Google Scholar
  35. 35.
    Indulska, J., Robinson, R., Rakotonirainy, A., Henricksen, K.: Experiences in Using CC/PP in Context-Aware Systems. In: Chen, M.-S., Chrysanthis, P.K., Sloman, M., Zaslavsky, A. (eds.) MDM 2003. LNCS, vol. 2574, pp. 247–261. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  36. 36.
    Reynolds, F., Wooderow, C., Ohto, H., Klyne, G.: Composite capability/preference profiles(cc/pp) - structure and vocabularies. W3C Working Draft (2001)Google Scholar
  37. 37.
    Chen, M., LaPaugh, A., Singh, J.: Predicting category accesses for a user in a structured information space. In: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 65–72 (2002)Google Scholar
  38. 38.
    Lieberman, Letizia, H.: An agent that assists web browsing. In: Proceedings of the 1995 International Joint Conference on Artificial Intelligent, pp. 65–72 (1995)Google Scholar
  39. 39.
    Chi, E.H., Pirolli, P., Chen, K., Pitkow, J.: Using information scent to model user information needs and actions and the web. In: Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 490–497 (2001)Google Scholar
  40. 40.
    Yan, T.W., Jacobsen, M., Garcia-Molina, H., Dayal, U.: From user access patterns to dynamic hypertext linking. In: Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems, pp. 1007–1014 (1996)Google Scholar
  41. 41.
    Fu, Y., Sandhu, K., Shih, M.: Fast clustering of web users based on navigation patterns. In: World Multiconference on Systemics, Cybernetics and Informatics (SCI/ISAS 1999), vol. 5, pp. 560–567 (1999)Google Scholar
  42. 42.
    Lam, W., Mostafa, J.: Modeling user interest shift using a bayesian approach. Journal of the American Society for Information Science and Technology 5, 416–429 (2001)CrossRefGoogle Scholar
  43. 43.
    Cohen, J.: Bioinformatics-an introduction for computer scientits. ACM Computing Surveys 36, 122–158 (2004)CrossRefGoogle Scholar
  44. 44.
    Cohen, J.: Computer science and bioinformatics. Communication of the ACM 48, 72–78 (2005)CrossRefGoogle Scholar
  45. 45.
    Hernandez, T., Kambhampati, S.: Integration of biological sources - current systems and challegens ahead. SIGMOD Record 33, 51–60 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yong-Bin Kang
    • 1
  • Yusuf Pisan
    • 2
  1. 1.Institute for Graphics InterfacesRepublic of Korea
  2. 2.University of TechnologySydneyAustralia

Personalised recommendations