Wireless Personal Communications

, Volume 45, Issue 4, pp 497–509 | Cite as

Quasi-omniscient Networks: Scenarios on Context Capturing and New Services Through Wireless Sensor Networks

  • Rui Aguiar
  • Diogo Gomes


This paper addresses future scenarios for the telecommunications field, addressing the impact of three important research trends in computer networks: Context, Sensors and Wireless Networks. The proposed scenarios clearly highlight the possible synergies between the defined areas, and describe the role of Users and Network Operators in order to achieve the described goals. The potential danger of an over-encompassing network is identified, with a brief discussion on the challenges associated to the implementation of such a knowledge-aware communications network. The paper finalizes presenting a classification on the typical scenarios to be expected, and highlighting the associated challenges. It also presents a proposal on a scalable network infrastructure for Context processing.


Scenarios Context Wireless Sensor networks Network 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Weiser M. (1999). Some computer science issues in ubiquitous computing. ACM SIGMOBILE Mobile Computing and Communications Review archive, 3(3): 12 CrossRefGoogle Scholar
  2. 2.
    Schilit, B., Adams, N., & Want, R. (1994). Context-aware computing applications. In IEEE Workshop on Mobile Computing Systems and Applications (WMCSA’94), Santa Cruz, CA, US, pp. 89–101.Google Scholar
  3. 3.
    Angermann, M., Mcburney, S., Kuhmuench, C., Mahon, F., Mitic, J., Robertson, & P., Whitmore, J. (2006). Integrating and Demonstrating Pervasiveness in a Scenario Driven Approach. eChallenges e2006 Barcelona, Spain, Oct 2006.Google Scholar
  4. 4.
    Friedewalda M., Da Costab O., Punieb Y., Alahuhtac P. and Heinonend S. (2005). Perspectives of ambient intelligence in the home environment. Telematics and Informatics, 22(3): 221–238 CrossRefGoogle Scholar
  5. 5.
    Aguiar R.L., Sarma A., Bijwaard D., Marchetti L., Pacyna P. and Pascotto R. (2007). Pervasiveness in a competitive multi-operator environment: The Daidalos project. IEEE Communications Magazine, Large Projects section, 45(10): 22–26 Google Scholar
  6. 6.
    Melia, T., de la Oliva, A., Soto, I., Serrano, P., & Aguiar, R. (in print). Network controlled handovers: Challenges and possibilities. Wireless Personal Communications. Springer. doi: 10.1007/s11277-007-9256-5 .
  7. 7.
    Inoue, M., Hasegawa, M., & Morikawa, H. (2005). Decentralized ubiquitous networking server for context-aware seamless services. In IEEE 61st Vehicular Technology Conference, 2005. VTC 2005–Spring 2005, Vol. 5, pp. 2805–2809, Vol. 5, 30 May–1 June 2005.Google Scholar
  8. 8.
    Ocampo, R., Cheng, L., Jean, K., Galis, A., & Prieto, A. G. (2006). Towards a context monitoring system for ambient networks. In First International Conference on Communications and Networking in China, 2006, ChinaCom ’06, 25–27 Oct 2006, pp. 1–3.Google Scholar
  9. 9.
    Hofer, T., Schwinger, W., Pichler, M., Leonhartsberger, G., Altmann, J., & Retschitzegger, W. (2003). Context-awareness on mobile devices—the hydrogen approach. In Proceedings of the 36th Annual Hawaii International Conference on System Sciences, 6–9 Jan 2003, 10 pp.Google Scholar
  10. 10.
    Loke S.W. (2006). Context-aware artifacts: Two development approaches. IEEE Pervasive Computing, 5(2): 48–53 CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC. 2008

Authors and Affiliations

  1. 1.Instituto de TelecomunicaçõesUniversidade de AveiroAveiroPortugal

Personalised recommendations