Abstract
The Internet of Things (IoT) is the new ITU-T concept for the network development [1, 2]. The IoT is based today on the Ubiquitous Sensor Network (USN) [3, 4] and M2M decisions [5, 6]. So the USN and M2M traffic models should be studied well. The USN traffic models were considered for telemetry applications in [7], for medical applications in [8], for image applications in [9]. There are many M2M traffic model investigation papers too [10, 11, 12]. The M2M traffic models and flow types definition in the case of mass event detection are the investigation goal of this paper. The anti-persistent flow type for M2M traffic in the case of mass event detection is identified. The results can be used for Recommendation Q.3925 “Traffic flow types for testing quality of service parameters on model networks” modification.
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References
Recommendation, Y. 2060. Overview of Internet of Things. ITU-T, Geneva (February 2012)
Recommendation, Y. 2063. Framework of the WEB of Things. ITU-T, Geneva (July 2012)
Recommendation, Y. 2062. Framework of Object-to-Object Communication using Ubiquitous Networking in NGN. ITU-T, Geneva (February 2012)
Recommendation, Y. 2221. Requirements for Support of USN Applications and Services in the NGN Environment. ITU-T, Geneva (January 2010)
Carugi, M., Li, C., Ahn, J.-Y., Chen, H.: M2M enabled ecosystems: e-health. ITU-T, FG M2M, San Jose, November 13-15 (2012)
Andreev, S., Galinina, O., Koucheryavy, Y.: Energy-efficient client relay scheme for machine-to-machine communication. In: Proceedings of the Global Telecommunications Conference (GLOBECOM 2011), Houston, Texas, USA, December 5-9 (2011)
Koucheryavy, A., Prokopiev, A.: Ubiquitous Sensor Networks Traffic Models for Telemetry Applications. In: Balandin, S., Koucheryavy, Y., Hu, H. (eds.) NEW2AN/ruSMART 2011. LNCS, vol. 6869, pp. 287–294. Springer, Heidelberg (2011)
Vybornova, A., Koucheryavy, A.: Ubiquitous Sensor Networks Traffic Models for Medical and Tracking Applications. In: Andreev, S., Balandin, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART 2012. LNCS, vol. 7469, pp. 338–346. Springer, Heidelberg (2012)
Koucheryavy, A., Muthanna, A., Prokopiev, A.: Ubiquitous Sensor Networks Traffic Models for Image Applications. Internet of Things and its Enablers (INTHITEN). In: Proceedings of the Conference, State University of Telecommunication, St. Petersburg, Russia, June 3-4 (2013)
Drajic, D., et al.: Traffic Generation Application for Simulating Online Games and M2M applications via Wireless Networks. In: 9th Conference on Wireless on-demand Network Systems and Services WONS 2012, Courmayeur, Italy, January 9-11 (2012)
Shafig, M.Z., et al.: A First Look at Cellular Machine-to-Machine Traffic: Large Scale Measurement and Characterization. In: 12th ACM Sigmetrics Performance International Conference, London, England, UK, June 11-15 (2012)
Potsch, T., Marwat, S.N.K., Zaki, Y., Gorg, C.: Influence of Future M2M Communication on the LTE System. In: Wireless and Mobile Networking Conference, Dubai, United Arab Emirates, April 23-25 (2013)
Recommendation Q.3925. Traffic Flow Types for Testing Quality of Service Parameters on Model Networks. ITU-T, Geneva (March 2012)
Dashkova, E., Gurtov, A.: Survey on Congestion Control Mechanism for Wireless Sensor Networks. In: Andreev, S., Balandin, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART 2012. LNCS, vol. 7469, pp. 75–85. Springer, Heidelberg (2012)
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Paramonov, A., Koucheryavy, A. (2014). M2M Traffic Models and Flow Types in Case of Mass Event Detection. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2014. Lecture Notes in Computer Science, vol 8638. Springer, Cham. https://doi.org/10.1007/978-3-319-10353-2_25
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DOI: https://doi.org/10.1007/978-3-319-10353-2_25
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