Framework Design Supporting QoS-Power Trade-Offs for Heterogeneous Networked Systems

  • Christos Antonopoulos
  • Evangelos Topalis
  • Aggeliki Prayati
  • Spilios Giannoulis
  • Antonis Athanasopoulos
  • Stavros Koubias
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5186)

Abstract

The work reported here was performed as part of the ongoing research Program PYTHAGORAS II and funded by the European Social Fund (ESF), in particular by the Operational Program for Educational and Vocational Training II (EPEAEK II).Two of the main research efforts in wireless systems, nowadays, are the Power awareness and Quality of Service (QoS) integration. As frameworks are developed to handle dynamic reconfiguration, the need for a power optimization methodology to investigate alternative cross-layer configurations is critical. However, as networks become more complex and energy savings become crucial, this leads to the consideration of constructs for treating QoS-power trade-offs and adjust to the heterogeneous nature of network systems. In this paper, we propose an interoperable framework design for heterogeneous network systems, where communication is treated transparently and enhancements are proposed to improve QoS by the definition of a framework also supporting dynamic power optimization.

Keywords

Interoperability framework 802.11x heterogeneous networked systems QoS support 

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References

  1. 1.
    Kiczales, G., et al.: Aspect-Oriented Programming. In: Akşit, M., Matsuoka, S. (eds.) ECOOP 1997. LNCS, vol. 1241, pp. 220–242. Springer, Heidelberg (1997)CrossRefGoogle Scholar
  2. 2.
    Eichberg, M.: Component-Based Software Development with Apsect-Oriented Programming. Journal of Object Technology, ETH Zurich, Chair of Software Engineering (2002)Google Scholar
  3. 3.
    Unsal, O.S., Koren, I.: System-Level Power-Aware Design Techniques in Real-Time Systems (Invited paper). Proceedings of the IEEE, Special Issue on Real-Time Systems 91 (July 2003)Google Scholar
  4. 4.
    Van Antwerpen, H., et al.: Energy-Aware System Design for Wireless Multimedia. Panel on Platforms and Tools for Energy-Efficient Design of Multimedia Systems, Design Automization (2003)Google Scholar
  5. 5.
    Conti, M., Gregori, E.: Optimization of bandwidth and energy consumption in wireless local area networks. In: Performance evaluation of complex systems: techniques and tools, pp. 435–462. Springer, Berlin (2002)MATHGoogle Scholar
  6. 6.
    Takahashi, E.S.C.: Application aware scheduling for power management on IEEE 802.11. In: Proceedings of the 2000 IEEE International Performance, Computing, and Communications-Conference, pp. 247–253 (2000)Google Scholar
  7. 7.
    The TORERO consortium: Deliverable 2.1 Integrative design and development of web-enabled control system design methodology (internal draft) (2003)Google Scholar
  8. 8.
    Tangermann, M., Schwab, C., Kalogeras, A.P., Lorentz, K., Prayati, A.S.: Aspect-Orientation of Control Application Code for Distributed Automation Systems: The TORERO Approach. In: IEEE Proceedings JTRES, 2003 (November 2003)Google Scholar
  9. 9.
    Yuan, Nahrstedt, Adve, Jones, Kravets: Design and Evaluation of a Cross-Layer Adaptation Framework for Mobile Multimedia systems. In: ACM MMCN (2003)Google Scholar
  10. 10.
    Dong, X.J.: Adaptive polling algorithm for PCF mode of IEEE 802.11 wireless LANs. ELECTRONICS LETTERS 40(8) (April 15, 2004)Google Scholar
  11. 11.
    IEC 65/240/CD (61499): Function Blocks for Industrial Process Management and Control Systems Part 1: Architecture Public Available Specification Google Scholar
  12. 12.
    IEC 61804-2 International Standard, Function blocks (FB) for process control – Part 2: Specification of FB concept and Electronic Device Description Language (EDDL) (2004)Google Scholar
  13. 13.
    PROFInet – Architecture Description and Specification, V 1.0, PNO (August 2001)Google Scholar
  14. 14.
    iDA – Architecture Description and Specification, V 1.0 (November 2001)Google Scholar
  15. 15.
    Prayati, A., Koulamas, C., Koubias, S., Papadopoulos, G.: A Methodology for the Development of Distributed Real-Time Control Applications With Focus on Task Allocation in Heterogeneous Systems. IEEE Transactions on Industrial Electronics 51(6) (December 2004)Google Scholar
  16. 16.
    Antonopoulos, C., Athansopoulos, A., Giannoulis, S., Prayati, A., Topalis, E., Koubias, S.: A Framework Architecture Supporting QoS-Power Trade-offs for Heterogeneous Network Systems. In: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2005), Catania, Italy, September 19-22 (2005)Google Scholar
  17. 17.
    Lee, S.-B., Ahn, G.-S., Campbell, A.T.: Improving UDP and TCP Performance in mobile Ad Hoc Networks with INSIGNIA. IEEE Communications Magazine (June 2001)Google Scholar
  18. 18.
    Roy, S., Saha, D., Bandyopadhyay, S., Ueda, T., Tanaka, S.: A Network-Aware MAC and Routing Protocol for Effective Load Balancing in Ad Hoc Wireless networks with Directional Antenna. In: Proc. of the Fourth ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2003), Annapolis, Maryland, USA, June 1-3 (2003)Google Scholar
  19. 19.
    Safwat, A., Hassanein, H., Mouftah, H.: Optimal Cross-Layer Designs for Energy-Efficient Wireless Ad Hoc and Sensor Networks. In: IEEE IPCCC (2003)Google Scholar
  20. 20.
    Sichitiu, M.L.: Cross-layer Scheduling for Power Efficiency in Wireless Sensor Networks. In: INFOCOM (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Christos Antonopoulos
    • 1
  • Evangelos Topalis
    • 1
  • Aggeliki Prayati
    • 1
  • Spilios Giannoulis
    • 1
  • Antonis Athanasopoulos
    • 1
  • Stavros Koubias
    • 1
  1. 1.Applied Electronics Laboratory, Department of Electrical & Computer EngineeringUniversity of PatrasGreece

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