A modular approach to the communication protocol and standard for multimedia information: A review

Information Technology in Engineering Systems

Abstract

The paper focuses on a modular approach to design of a communication protocol and an MPEG-like standard for multimedia information processing. Generally, the following basic problems can be considered: (i) selection, (ii) composition, and (iii) combinatorial evolution and forecasting. Here, the composition problem is examined. The ZigBee Protocol for wireless sensor networks is studied as an example for the modular design. A generalized MPEG-like standard is considered as a representative example as well. Morphological (modular) system design is used for composition of the elements (components) of the protocol/standard. The solving process is based on Hierarchical Morphological Multicriteria Design (HMMD): (i) multicriteria selection of alternatives for system components, (ii) synthesis of the selected alternatives into a resultant combination. Numerical examples illustrate the design process.

Keywords

modular system communication protocol sensor network wireless communication multimedia standard for information transmission modular design combinatorial synthesis 

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References

  1. 1.
    L. An, H. K. Pung, and L. Zhou, “Design and implementation of a dynamic protocol framework,” Comput. Commun. 29, 1309–1315 (2006).CrossRefGoogle Scholar
  2. 2.
    P. Baronti, P. Pillai, V. W. C. Chook, S. Chessa, A. Cotta, and Y. F. Hu, “Wireless sensor network: A survey on the state of the art and the 802.15.4 and ZigBee standards,” Comput. Commun. 30, 1655–1695 (2007).CrossRefGoogle Scholar
  3. 3.
    A. Boukerche, B. Turgut, N. Aydin, M. Z. Ahmad, L. Boloni, and D. Turgut, “Routing protocols in ad hoc networks: survey,” Comput. Networks 55, 3032–3080 (2011).CrossRefGoogle Scholar
  4. 4.
    R.-S. Chang, W.-Y. Chen, and Y.-F. Wen, “Hybrid wireless network protocols,” IEEE Trans. Veh. Technol. 52, 1099–1109 (2003).CrossRefGoogle Scholar
  5. 5.
    H. Chen, C. Zhou, X. Huang, Y. Qing, and Y. Shi, “Management of the reconfigurable proocol stack based on SDL for networked control systems,” Inf. Technol. J. 9, 849–863 (2010).CrossRefGoogle Scholar
  6. 6.
    L. Chiariglione, “The development of an integrated audiovisual coding standard: MPEG,” Proc. IEEE 83, 151–157 (1995).CrossRefGoogle Scholar
  7. 7.
    L. Chiariglione, “MPEG and multimedia communications,” IEEE Trans. Circuits Syst. Video Technol. 7, 5–18 (1997).CrossRefGoogle Scholar
  8. 8.
    C. E. Fogg, D. J. Le Gall, J. L. Mitchell, and W. B. Pennebaker, (Eds.), MPEG Video. Compression Standard (Kluwer, Boston, 2002).Google Scholar
  9. 9.
    V. Gazis, N. Alanistioti, and L. Merakos, “Metadata design for reconfigurable protocol stacks in system beyond 3G,” Wireless Personal Commun. 36(1), 1–28 (2006).CrossRefGoogle Scholar
  10. 10.
    D. T. Hoang and J. S. Vitter, Efficient Algorithms for MPEG Video Compression (Wiley, New York, 2002).Google Scholar
  11. 11.
    F. Hutter, H. H. Hoos, K. Leyton-Brown, and T. Stutzle, “ParamILS: an automatic algorithm configuration framework,” J. Artif. Intell. Res. 36(1), 267–306 (2009).MATHGoogle Scholar
  12. 12.
    C. E. Jones, K. M. Sivalingam, P. Agarwal, and J. C. Chen, “A survey of energy efficient network protocols for wireless networks,” Wireless Networks 7, 343–358 (2001).MATHCrossRefGoogle Scholar
  13. 13.
    E. Kamensky and O. Hadar, “Multiparameter method for analysis and selection of motion estimation algorithms for video compression,” Multimedia Tools Appl. 38(1), 119–146 (2008).CrossRefGoogle Scholar
  14. 14.
    H. Karl and A. Willig, Protocols and Architecture for Wireless Sensor Networks (Wiley, New York, 2007).Google Scholar
  15. 15.
    E. Kirci, E. K. Kuban, and N. K. Cicekli, “Automation composition of Web services with the abductive event calculus,” Inf. Sci. 180, 3589–3613 (2010).CrossRefGoogle Scholar
  16. 16.
    P. V. Knudsen and J. Madsen, “Integrating communication protocol selection with hardware/software codesign,” IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 18, 1077–1095 (1999).CrossRefGoogle Scholar
  17. 17.
    P. Kuhn, Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation (Kluwer, Boston, 1999).MATHCrossRefGoogle Scholar
  18. 18.
    D. Le Gall, “MPEG: A video compression standard for multimedia applications,” Commun. ACM, 34(4), 47–58 (1991).Google Scholar
  19. 19.
    M. Sh. Levin, Composite Systems Decisions (Springer-Verlag, New York, 2006).Google Scholar
  20. 20.
    M. Sh. Levin, “Combinatorial optimization in system configuration design,” Autom. Remote Control 70, 519–561 (2009).MATHCrossRefGoogle Scholar
  21. 21.
    M. Sh. Levin, “Morphological methods for design of modular systems (a survey),” Electronic Preprint. 20 pp., Jan. 9, 2012; http://arxiv.org/abs/1201.1712 [cs.SE]
  22. 22.
    M. Sh. Levin, “Combinatorial Synthesis of Communication Protocol ZigBee with Interval Multiset Estimates,” in Proc. 4nd Int. Congr. on Ultra Modern Telecomm. & Control Systems ICUMT-2012, Russia, St. Petersburg, Russia, October 3–5, 2012 (IEEE, New York, 2012), pp. 29–34.Google Scholar
  23. 23.
    M. Sh. Levin, “Composite strategy for multicriteria ranking/sorting (methodological issues, examples),” Electronic Preprint. 24 pp., Nov. 9, 2012; http://arxiv.org/abs/1211.2245 [math.OC].
  24. 24.
    M. Sh. Levin, O. Kruchkov, O. Hadar, and E. Kaminsky, “Combinatorial systems evolution: Example of standard for multimedia information,” INFORMATICA 20, 519–538 (2009).MATHGoogle Scholar
  25. 25.
    M. Sh. Levin, A. Andrushevich, R. Kistler, and A. Klapproth, “Combinatorial evolution of ZigBee protocol,” in Proc. 2010 IEEE Region 8th Int. Conf. “SIBIRCON-2010”, Irkutsk, 2010 (IEEE, New York, 2010), Vol. 1, pp. 314–319.Google Scholar
  26. 26.
    M. Sh. Levin, A. Andrushevich, R. Kistler, and A. Klapproth, “Combinatorial evolution and forecasting of communication protocol ZigBee,” Electronic Preprint. 6 pp., April 15, 2012; http://arxiv.org/abs/1204.3259 [cs.NI]
  27. 27.
    P. K. McKeenly, S. M. Sadjadi, E. P. Kasten, and B. H. C. Cheng, “Composing adaptive software,” IEEE Comput. 37(7), 56–64 (2004).CrossRefGoogle Scholar
  28. 28.
    J. L. Mitchell, W. B. Pennebaker, and C. E. Fogg, D. J. Legall (Eds.), MPEG Video Compression Standard (Chapman&Hall, London 1996).Google Scholar
  29. 29.
    M. Muja and D. G. Lowe, “Fast approximate nearest neighbors with automatic algorithm configuration,” in Proc. Int. Conf. on Computer Vision Theory and Applications VISSAPP’09, Lisboa, Portugal, Feb. 2009 (INSTICC Press, Lisboa, 2009), pp. 331–340.Google Scholar
  30. 30.
    M. Niamanesh and R. Jalili, “DRAPS: A framework for dynamic reconfigurable protocol stacks,” J. Inf. Sci. Eng. 25, 827–841 (2009).Google Scholar
  31. 31.
    F. Pereira, The MPEG-4 Book (Wiley, New York, 2002).Google Scholar
  32. 32.
    O. Rutti and A. Schiper, “A predicate-based approach to dynamic protocol update in group communication,” in Proc. Int. Parallel and Distributed Processing Sypm. IPDP, Miami, Florida, USA, Apr. 2008 (IEEE Computer Society, Los Alamitos, 2008), pp. 1–12.Google Scholar
  33. 33.
    J. G. Quenum, S. Aknine, O. Shehory, and S. Honiden, “Dynamic protocol selection in open and heterogeneous systems,” in Proc. IEEE/WIC/ACM Int. Conf. on Intelligent Agent Technology, Workshops, Hong Kong, China, Dec. 18–22, 2006 (IEEE, New York, 2006), pp. 333–341.CrossRefGoogle Scholar
  34. 34.
    K. Shibata, K. Okamura, and K. Araki, “Design and evaluation of dynamic protocol seleciton architecture for reliable multicast,” in Proc. Symp. on Applications and the Internet (SAINT 2002), Nara City, Japan, 28 Jan.–1 Feb. 2002 (IEEE Computer Society, 2002), pp. 262–269.CrossRefGoogle Scholar
  35. 35.
    K. Sohraby, D. Minoli, and T. Znati, Wireless Sensor Networks: Technology, Protocols, and Applications (Wiley, New York, 2007).CrossRefGoogle Scholar
  36. 36.
    X. Song and W. Dou, “A workflow framework for intelligent service composition,” Future Generaiton Comput. Systems 27, 627–636 (2011).CrossRefGoogle Scholar
  37. 37.
    D. B. Stewart, R. A. Volpe, and P. K. Khosta, “Design of dynamicaly reconfigurable real-time software using port-based objects,” IEEE Trans. Software Eng. 23, 759–776 (1997).CrossRefGoogle Scholar
  38. 38.
    J. Watkinson, MPEG Handbook (Butterworth-Heinemann, UK, 2001).Google Scholar
  39. 39.
    C.-J. Zhou, H. Chen, Y.-Q. Qin, Y.-F. Shi, and G.-C. Yu, “Self-organization of reconfigurable protocol stack for networked control systems,” Int. J. Autom. Control 8, 221–235 (2011).Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2013

Authors and Affiliations

  1. 1.Kharkevich Institute for Information Transmission ProblemsRussian Academy of SciencesMoscowRussia

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