AUTONOMOUS NETWORK SELECTION STRATEGY FOR TELECARDIOLOGY APPLICATION IN HETEROGENEOUS WIRELESS NETWORKS
DOI:
https://doi.org/10.11113/jt.v77.6501Keywords:
Network selection, Telecardiology, Handover failure, Handover rate, Ping-pong effectAbstract
Existing telecardiology systems are mostly relying on a high bandwidth wireless technology. However, in developing countries, the coverage of high bandwidth wireless network is still imperfect. Thus, the existing telecardiology systems are unable to guarantee users are always connected to the healthcare service provider at anywhere. To overcome this issue, an autonomous network selection strategy for telecardiology application in heterogeneous wireless networks is proposed. This strategy is aware of user velocity, network quality, and telecardiology service setting (e.g. image, vital signs, ECG, etc.). It performs handover from one network to another without disruption to the link. The simulation results show that the proposed strategy outperforms conventional bandwidth-based strategy in term of handover rate, ping-pong effect and handover failure. It has successfully reduced the handover rate up to 97%, eliminated the ping-pong effect and handover failure in both high and low speed scenarios.
References
Maarop, N., and Win, K. T. 2012. The Interplay of Environmental Factors in the Acceptance of Teleconsultation Technology: A Mixed Methods Study. Open International Journal of Informatics. 1: 46-48.
Brunetti, N. D., De Gennaro, L., Dellegrottaglie, G., Procacci, V. and Di Biase M. 2013. Fast and Furious: Telecardiology in Acute Myocardial Infarction Triage in the Emergency Room Setting. European Research in Telemedicine. 2: 75-78.
Sorensen, J. T., Clemmensen, P. and Sejersten, M. 2013. Telecardiology: Past, Present and Future. Rev Esp Cardiol. 66(3): 212-218.
Chaudhry, S. I., Barton, B., Mattera, J., Spertus, J. and Krumholz, H. M. 2007. Clinical Trials: Methods and Design, Randomized Trial of Telemonitoring to Improve Heart Failure Outcomes (Tele-HF): Study Design. J Cardiac Fail. 13(9): 709-714.
Brown, J. P., James, E., Dunford, V., and Yehuda, O.B. 2008. Effect of Prehospital 12-Lead Electrocardiogram on Activation of the Cardiac Catheterization Laboratory and Door-to-Balloon Time in ST-Segment Elevation Acute Myocardial Infarction. American Journal of Cardiology. 101(2): 158-161.
Brunetti, N. D., De Gennaro, L., Amodio, G., Dellegrottaglie, G., Pellegrino, P. L., Di Biase, M. and Antonelli, G. 2010. Telecardiology Improves Quality Of Diagnosis and Reduces Delay to Treatment in Elderly Patients with Acute Myocardial Infarction and Atypical Presentation. European Journal of Cardiovascular Prevention & Rehabilitation. 17(6): 615-620.
Yew, H. T., Aditya, Y., Satria, H., Supriyanto, E. and Hau, Y.W. 2015. Telecardiology System for Fourth Generation Heterogeneous Wireless Networks. ARPN Journal of Engineering and Applied Sciences. 10(2): 600-607.
Ken, C. and Liang, X. 2010. Development of WI-FI based Telecardiology Monitoring System. Intelligent Systems and Applications (ISA), 2010 2nd International Workshop.
Mitra, S., Mitra, M. and Chaudhuri, B.B. 2008. Rural Cardiac Healthcare System–A Scheme for Developing Countries. TENCON 2008 IEEE Conference.1-5.
Elena, M., Quero, J. M., Tarrida, C. L. and Franquelo, L. G. 2002. Design of a Mobile Telecardiology System Using GPRS/GSM Technology. IEEE Proceeding of the Second Joint EMBS/BMES Conference, ( Houston USA).
Lin, C. T, Chang, K. C., Lin, C. L., Chiang, C. C., Lu, S. W., Chang, S. S., Lin, B. S., Liang, H. Y., Chen, R. J., Lee, Y. T. and Ko. L. W. 2010. An Intelligent Telecardiology System Using a Wearable and Wireless ECG to Detect Atrial Fibrillation. IEEE Transactions on Information Technology in Biomedicine. 14(3): 726-733.
Abo-Zahhad, M., Ahmed, S.M. and Elnahas, O. 2014. A Wireless Emergency Telemedicine System for Patients Monitoring and Diagnosis. Hindawi Publishing Corporation, International Journal of Telemedicine and Applications, Article ID 380787. 11.
Huang, A., Chen, C., Bian, K., Duan, X., Chen, M., Gao, H., Meng, C., Zheng, Q., Zhang, Y., Jiao, B. and Xie, L. 2014. WE-CARE: An Intelligent Mobile Telecardiology System to Enable mHealth Applications. IEEE Journal of Biomedical And Health Informatics. 18(2): 693-702.
Niyato, D., Hossain, E. and Diamond. J. 2007. IEEE802.16/WiMAX-Based Broadband Wireless Access and Its Application For Telemedicine/E-Health Services. IEEE Wireless Communication. 14 (1): 72-83.
Chorbev I., Madzarov, G. and Mihajlov, D. 2008. Wireless Telemedicine as Part of an Integrated System for E-Medicine. The 14th IEEE Mediterranean Electrotechnical Conference, Ajaccio (France). 264-269.
Niyato, D., Hossain, E. and Camorlinga, S. 2009. Remote Patient Monitoring Service using Heterogeneous Wireless Access Networks: Architecture and Optimization. IEEE Journal on Selected Areas in Communications. 27(4): 412-423.
Mair, F., Fraser, S., Ferguson, J. and Webster, K. 2008. Telemedicine Via Satellite to Support Offshore Oil Platforms. J Telemed Telecare. 14(3): 129-131.
Alberto H. A. B. 2011. The Spanish Ministry of Defence (MOD) Telemedicine System. InTech, Advance in Telemedicine: Technologies, Enabling Factors and Scenarios. ISBN 978-953-307-159-6I.
Yan, X., Sekercioglu, Y. A. and Narayanan, S. 2010. A Survey of Vertical Handover Decision Algorithms in Fourth Generation Heterogeneous Wireless Networks. Computer Networks. 54(11): 1848-1863.
Oliva, A. de la, Soto, I., Banchs, A., Lessmann, J., Niephaus, C., Melia, T. 2011. IEEE802.21: Media Independence Beyond Handover. Computer Standards & Interface. 33: 556-564.
Ghahfarokhi, B. S. and Movahhedinia, N. 2013. A Survey on Applications of IEEE802.21 Media Independent Handover framework in nest generation wireless network. Computer Communications. 36(10-11): 1101-1119.
Gállego, J. R., Hernández-Solana, A., Canales, M., Lafuente, J., Valdovinos, A., and Fernández-Navajas, J. 2005. Performance Analysis of Multiplexed Medical Data Transmission for Mobile Emergency Care over the UMTS Channel. IEEE Transactions on Informations Technology in Biomedicine. 9(1): 13-22.
Hussain, R., Malik, M.A., Abrar, S., Riaz, R.A., and Khan, S.A. 2013. Vertical Handover Necessity Estimation Based on a New Dwell Time Prediction Model for Minimizing Unnecessary Handovers to a WLAN Cell. Wireless Pers. Commun. 71(2): 1217-1230.
Yan, X., Mani, N., and Sekercioglu, Y.A. 2008. A Traveling Distance Prediction Based Method to Minimize Unnecessary Handovers from Cellular Networks to WLANs. IEEE Communications Letters. 12(1): 14-16.
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