JSEA  Vol.4 No.1 , January 2011
Intelligent Management Functionality for Emergency Medical Applications Based on Cognitive Networking Principles
ABSTRACT
Telecommunications and information technology rapidly migrate towards the Future Internet (FI) era, which is characterized by powerful and complex network infrastructures, advanced applications, services and content, efficient power management as well as extensions in the business model. One of the main application areas that find prosper ground in the FI era, is medicine. In particular, latest advances in medical sciences are reflected on their capability to approach previously past-cure diseases, as well as to prevent the appearance and evolution of unpleasant situations. Those advances are often derived from interdisciplinary solutions to complex medical problems, supported by communications and electronics, which target fast, reliable and stable solutions to problems that are demanding in terms of velocity and accuracy. The goal of this paper is to present intelligent, knowledge-based management functionality capable of supporting emergency medical applications. An indicative emergency medical scenario is provided, along with extensive simulation results using the Network Simulator-2 (NS-2), for evaluating the performance of the proposed functionality.

Cite this paper
nullG. Dimitrakopoulos and M. Logothetis, "Intelligent Management Functionality for Emergency Medical Applications Based on Cognitive Networking Principles," Journal of Software Engineering and Applications, Vol. 4 No. 1, 2011, pp. 23-36. doi: 10.4236/jsea.2011.41004.
References
[1]   W. Hasselbring and R. Reussner, “Towards Trustworthy Software Systems,” IEEE Computer, Vol. 39, No. 4, April 2006, pp. 91-92.

[2]   “Project End-to-End Efficiency (E3),” 7th Framework Programme (FP7) of the European Commission, Information and Communication Technologies (ICT), 2009. www.ict-e3.eu

[3]   “European Future Internet Initiative (EFII),” 2010. http://initiative.future-internet.eu/

[4]   S. Haykin, “Cognitive Radio: Brain-Empowered Wireless Communications,” IEEE Journal on Selected Areas in Communications, Vol. 23, No. 2, February 2005, pp. 201- 220. doi:10.1109/JSAC.2004.839380

[5]   R. Thomas, D. Friend, L. DaSilva and A. McKenzie, “Cognitive Drivers: Adaptation and Learning to Achieve End-to-End Performance Objectives,” IEEE Communications Magazine, Vol. 44, No. 12, pp. 51-57, December 2006. doi:10.1109/MCOM.2006.273099

[6]   F. Jondral, “Cognitive Radio: A Communications Engineering View,” IEEE Wireless Communications Magazine, Vol. 14, No. 4, August 2007, pp. 28-33. doi:10.110 9/MWC.2007.4300980

[7]   J. Kephart and D. Chess, “The Vision of Autonomic Computing,” IEEE Computer, Vol. 36, No. 1, January 2003, pp. 41-50.

[8]   Economic and Social Commission for Western Asia, “Promoting E-Health Applications towards an Information Society in ESCWA Member Countries,” Western Asia Preparatory Conference for the World Summit on the Information Society (WSIS), Beirut, 4-6 February 2003.

[9]   J. Grimson, W. Grimson and W. Hasselbring, “The SI Challenge in Health Care,” Communications of the ACM, Vol. 43, No. 6, June 2000. doi:10.1145/336460.336474

[10]   J.-C. Healy, “Future E-Health and Societal Needs,” CISCO Public Services Summit, 2003.

[11]   P.-A. Probst, “Role of ITU-T in E-Health Standardization Activities,” WSC High Level Workshop on International Standards for Medical Technologies, Geneva, 26-27 February 2004.

[12]   R. Thomas, D. Friend, L. DaSilva and A. McKenzie, “Cognitive Networks: Adaptation and Learning to Achieve End-to-End Performance Objectives,” IEEE Communications Magazine, Vol. 44, No. 12, December 2006, pp. 51-57. doi:10.1109/MCOM.2006.273099

[13]   P. Demestichas, G. Dimitrakopoulos, J. Strassner and D. Bourse, “Introducing Reconfigurability and Cognitive Networks Concepts in the Wireless World: Research Achievements and Challenges,” IEEE Vehicular Technology Magazine, Vol. 1, No. 2, June 2006, pp. 32-39. doi:10.1109/MVT.2006.283572

[14]   A. Bhargava, M. F. Khan and A. Ghafoor, “QoS Management in Multimedia Networking for Telemedicine Applications,” Proceedings of 1st IEEE Workshop on Software Technologies for Future Embedded Systems (WSTFES’03), Hakodate, May 2003, pp. 39-42. doi:10.11 09/WSTFES.2003.1201357

[15]   J. R. Gallego, A. Hernandez-Solana, M. Canales, J. Lafuente, A. Valdovinos and J. Fernandez-Navajas, “Performance Analysis of Multiplexed Medical Data Transmission for Mobile Emergency Care over the UMTS Channel,” IEEE Transactions on Information Technology in Biomedicine, Vol. 9, No. 1, 2005, pp. 13-22. doi:10.11 09/TITB.2004.838362

[16]   Y. Chu and A. Ganz, “A Mobile Teletrauma System Using 3G Networks,” IEEE Transactions on Information Technology in Biomedicine, Vol. 8, No. 4, 2004, pp. 456- 462. doi:10.1109/TITB.2004.837893

[17]   P. Nanda and R. C. Fernandes, “Quality of Service in Telemedicine,” Proceedings of the 1st International Conference on the Digital Society (ICDS’07), Guadeloupe, January 2007, p. 2. doi:10.1109/ICDS.2007.35

[18]   I. Reljin and B. Reljin, “Telecommunication Requirements in Telemedicine,” Annals of the Academy of Studenica, Vol. 4, 2004, pp. 53-61.

[19]   Network Simulator 2 (NS-2) Project. http://www.isi. edu/nsnam/ns/

[20]   T. Mitchel, “Machine Learning,” McGraw-Hill, New York, 1997.

[21]   P. Mildenberger, M. Eichelberg and E. Martin, “Introduction to DICOM standard,” European Radiology, Vol. 12, No. 4, 2002, pp. 920-927.

[22]   B. Orgun and J. Vu, “HL7 Ontology and Mobile Agents for Interoperability in Heterogeneous Medical Information Systems,” Computers in Biology and Medicine, Vol. 36, No. 7, July 2006, pp. 817-836.

[23]   G. Dimitrakopoulos, K. Tsagkaris, K. Demestichas, E. Adamopoulou and P. Demestichas, “A Management Scheme for Distributed Cross-Layer Reconfigurations in the Context of Cognitive B3G Infrastructures,” Computer Communications, Vol. 30, No. 18, December 2007, pp. 3807-3822.

[24]   A. Saatsakis and P. Demestichas, “Context Matching for Realizing Cognitive Wireless Network Segments,” Wireless Personal Communications Journal, Vol. 55, No.3, September 2009, pp. 407-440. doi: 10.1007/s11277-009- 9807-z

[25]   V. Stavroulaki, Y. Kritikou and P. Demestichas, “Acquiring and Learning User Information in the Context of Cognitive Device Management,” Proceedings of IEEE International Conference on Communications 2009 (ICC 2009), Dresden, June 2009, pp. 1-5.

[26]   P. Demestichas, A. Katidiotis, V. Stavroulaki and D. Petromanolakis, “Management System for Terminals in the Wireless B3G World,” Wireless Personal Communications, Vol. 53, No. 1, 2010, pp. 81-109. doi: 10.1007/ s11277-009-9672-9

[27]   G. Dimitrakopoulos, M. Logothetis and P. Demestichas, “Performance Evaluation of Cognitive Management Functionality for Emergency Healthcare Applications,” Proceedings of 6th Advanced International Conference on Telecommunications (AICT), Barcelona, May 2010, pp. 445-451.

[28]   ITU-T Recommendation G.711, General Aspects of Digital Transmission Systems.

[29]   A. Saatsakis, K. Tsagkaris, G. Dimitrakopoulos, A. Asvesta and P. Demestichas, “Emerging Management Strategies for the Introduction of Cognition in B3G Wireless Systems,” Proceeding of ICT-Mobile Summit 2009, Santander, 10-12 June 2009.

 
 
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