Advertisement

Data and Traffic Models in 5G Network

  • Rossitza Goleva
  • Rumen Stainov
  • Desislava Wagenknecht-Dimitrova
  • Seferin Mirtchev
  • Dimitar Atamian
  • Constandinos X. Mavromoustakis
  • George Mastorakis
  • Ciprian Dobre
  • Alexander Savov
  • Plamen Draganov
Chapter
Part of the Modeling and Optimization in Science and Technologies book series (MOST, volume 8)

Abstract

This chapter presents data and traffic analyses in 5G networks. We setup experiments with Zigbee sensors and measure different traffic patterns by changing the environmental conditions and number of channels. Due to the differences in read, write operations, message fragmentations and backoff of the Carrier Sense Multiple Access/Collision Avoidance algorithm we demonstrated that the traffic flows are changing dynamically. This leads to different behaviour of the network domain and requires special attention to network design. Statistical analyses are performed using Easyfit tool. It allows to find best fitting probability density function of traffic flows, approximation toward selected distributions as Pareto and Gamma and random number generation with selected distribution. Our chapter concludes with future plan for distribution parameters mapping to different traffic patterns, network topologies, different protocols and experimental environment.

Keywords

Sensor measurements Best-fitting pdf 5G traffic 

Notes

Acknowledgments

Our thanks to ICT COST Action IC1303: Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE), ICT COST Action IC1406: High-Performance Modelling and Simulation for Big Data Applications (cHiPSet), project No ИФ-02-9/15.12.2012, Gateway Prototype Modelling and Development for Wired and Wireless Communication Networks for Industrial and Building Automation and project on irrigation controller development.

References

  1. 1.
    Balabanov, G., Mirtchev, S.: A priority traffic models in wideband mobile networks. In: Proceedings of XLIII International Scientific Conference on Information, Communication and Energy Systems and Technologies—ICEST 2008, June 2008, vol. 1, pp. 470–473. Nis, Serbia (2008)Google Scholar
  2. 2.
    Balabanov, G., Mirtchev, M.: Dynamic queue management of partial shared buffer with mixed priority for QoS guarantee in LTE uplink. In: ELEKTROTECHNICA & ELEKTRONICA (E+E). 49, 1–2 2014, Union of Electronics, Electrical Engineering and Telecommunications (CEEC), pp. 7–13 (2014)Google Scholar
  3. 3.
    Batalla, J.M., Kantor, M., Mavromoustakis, C.X., et al.: A novel methodology for efficient throughput evaluation in virtualized routers. In: 2015 IEEE International Conference on Communications (ICC), 8–12 June 2015, pp. 6899–6905 (2015). doi: 10.1109/ICC.2015.7249425
  4. 4.
    Bernardo, V., Curado, M., Braun, T.: An IEEE 802.11 energy efficient mechanism for continuous media applications. In: Sustainable Computing: Informatics and Systems, Special Issue on Selected papers from EE-LSDS 2013 Conference, 2014/6/, vol. 4, issue. 2, pp. 106–117 (2014). http://dx.doi.org/10.1016/j.suscom.2014.04.001
  5. 5.
    Ciobanu, R.I., Marin, R.C., Dobre, C., et al.: Opportunistic dissemination using context-based data aggregation over interest spaces. In: 2015 IEEE International Conference on Communications (ICC), 8–12 June 2015, pp. 1219–1225 (2015). doi: 10.1109/ICC.2015.7248489
  6. 6.
    Cippitelli, E., Gasparrini, S., Gambi, E., et al.: Time synchronization and data fusion for RGB-depth cameras and inertial sensors in AAL applications. In: 2015 IEEE International Conference on Communication Workshop (ICCW), 8–12 June 2015 (2015). doi: 10.1109/ICCW.2015.7247189, pp. 265–270
  7. 7.
    Dias, J.A., Rodrigues, J.J., Kumar, N., et al.: A hybrid system to stimulate selfish nodes to cooperate in vehicular delay-tolerant networks. In: 2015 IEEE International Conference on Communications (ICC), 8–12 June 2015, pp. 5910–5915. doi: 10.1109/ICC.2015.7249264
  8. 8.
    Garcia, N.M., Rodrigues, J.J.P.: Ambient Assisted Living. CRC Press, Boca Raton, FL, USA (2015)CrossRefGoogle Scholar
  9. 9.
    Garcia, N.M., Garcia, N.C., Sousa, P., et al.: TICE.Healthy: A perspective on medical information integration. In: 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 1–4 June 2014, pp. 464–467 (2014). doi: 10.1109/BHI.2014.6864403
  10. 10.
    Goleva, R., Stainov, R., Savov, A., et al.: Reliable platform for enhanced living environment. In: Agüero, R., Zinner, T., Goleva, R., et al. (eds.) Mobile Networks and Management, First COST Action IC1303 AAPELE Workshop Element 2014, in Conjunction with MONAMI 2014 Conference, Wurzburg, 24 Sept 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 141, pp. 315–328. Springer, New York (2015). ISBN: 978-3-319-16291-1. http://dx.doi.org/10.1007/978-3-319-16292-8_23
  11. 11.
    Goleva, R., Stainov, R., Savov, A., et al.: Automated ambient open platform for enhanced living environment. In: Loshkovska, S., Koceski, S. (eds.) ICT Innovations 2015, Advances in Intelligent Systems and Computing, ELEMENT 2015, vol. 399, pp. 255–264. Springer (2015). http://dx.doi.org/10.1007/978-3-319-25733-4_26
  12. 12.
    Goleva, R., Atamian, D., Mirtchev, S., et al.: Traffic analyses and measurements: technological dependability. In: Mastorakis, G., Mavromoustakis, C., Pallis, E. (eds.) Resource Management of Mobile Cloud Computing Networks and Environments, Hershey, PA. Information Science Reference, pp. 122–173 (2015). doi: 10.4018/978-1-4666-8225-2.ch006
  13. 13.
    Grguric, A., Huljenic, D., Mosmondor, M.: AAL ontology: from design to validation. In: 2015 IEEE International Conference on Communication Workshop (ICCW), 8–12 June 2015, pp. 234–239 (2015). doi: 10.1109/ICCW.2015.7247184
  14. 14.
    Han, G., Jiang, J., Sun, N., et al.: Secure communication for underwater acoustic sensor networks. IEEE Commun. Mag. 53(8), 54–60 (2015). doi: 10.1109/MCOM.2015.7180508
  15. 15.
    Jarschel, M., Zinner, T., Hossfeld, T., et al.: Interfaces, attributes, and use cases: a compass for SDN. IEEE Commun. Mag. 52(6), 210–217 (2014)CrossRefGoogle Scholar
  16. 16.
    Kryftis, Y., Mavromoustakis, C.X., Mastorakis, G., et al.: Resource usage prediction algorithms for optimal selection of multimedia content delivery methods. In: 2015 IEEE International Conference on Communications (ICC), 8–12 June 2015, pp. 5903–5909 (2015). doi: 10.1109/ICC.2015.7249263
  17. 17.
    Mirtchev, S., Goleva, R.: Discrete time single server queueing model whit a multimodal packet size distribution. In: Atanasova, T. (ed) Proceedings of a Conjoint Seminar “Modelling and Control of Information Processes”, Sofia, Bulgaria, pp. 83–101. CTP, Sofia (2009). ISBN: 978-954-9332-55-1Google Scholar
  18. 18.
    Wu, D., He, J., Wang, H., et al.: A hierarchical packet forwarding mechanism for energy harvesting wireless sensor networks. IEEE Commun. Mag. 53(8), 92–98 (2015). doi: 10.1109/MCOM.2015.7180514
  19. 19.
    Yang, Q., Wang, H.: Toward trustworthy vehicular social networks. IEEE Commun. Mag. 53(8), 42–47 (2015). doi: 10.1109/MCOM.2015.7180506
  20. 20.
    Yu, C., Chen, C.Y., Chao, H.C.: Verifiable, privacy-assured, and accurate signal collection for cloud-assisted wireless sensor networks. IEEE Commun. Mag. 53(8), 48–53 (2015). doi: 10.1109/MCOM.2015.7180507
  21. 21.
    Zhang, F., Lau, V.K.N.: Delay-sensitive dynamic resource control for energy harvesting wireless systems with finite energy storage. IEEE Commun. Mag. 53(8), 106–113 (2015). doi: 10.1109/MCOM.2015.7180516
  22. 22.
    Zhou, M.T., Oodo, M., Hoang, V.D., et al.: Greater reliability in disrupted metropolitan area networks: use cases, standards, and practices. IEEE Commun. Mag. 53(8), 198–207 (2015). doi: 10.1109/MCOM.2015.7180528

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Rossitza Goleva
    • 1
  • Rumen Stainov
    • 2
  • Desislava Wagenknecht-Dimitrova
    • 3
  • Seferin Mirtchev
    • 1
  • Dimitar Atamian
    • 1
  • Constandinos X. Mavromoustakis
    • 4
  • George Mastorakis
    • 5
  • Ciprian Dobre
    • 6
  • Alexander Savov
    • 7
  • Plamen Draganov
    • 7
  1. 1.Technical University of SofiaSofiaBulgaria
  2. 2.Applied Computer Science DepartmentUniversity of Applied ScienceFuldaGermany
  3. 3.ETH ZurichZürichSwitzerland
  4. 4.Department of Computer ScienceUniversity of NicosiaNicosiaCyprus
  5. 5.Technological Educational Institute of CreteEstavromenos, HeraklionGreece
  6. 6.Faculty of Automatic Control and ComputersUniversity Politehnica of BucharestBucharestRomania
  7. 7.Comicon Ltd.SofiaBulgaria

Personalised recommendations