Abstract
Nanonetworks is one of the most dynamically developing areas in the field of telecommunications. Nanonetworking promises new opportunities in different fields of science and technology. However along with obvious advantages, the implementation of nanonetwork applications can cause a number of problems for the functioning of modern telecommunication networks. One of them is a large number of data packets generated by nanonetwork applications. In this regard, the actual problem is the study of traffic nanoceramic applications and its impact on traditional telecommunication networks. The article deals with simulation of traffic from sensor nanetwork applications. The paper presents results of nanonetwork applications traffic simulation. Simulation based on the traffic models developed for M2M. In the simulation considered the possibility of gateway working in two modes: without processing messages received from nanonetwork and with it. Typical architecture of nanonetwork medical applications involving the use of remote Internet servers, was described. The results of traffic flow simulation were analysed on the self-similarity properties.
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References
Bari, N., Berkovich, S., Ganapathy, M.: Internet of things as a methodological concept, computing for geospatial research and application (COM.Geo). In: 2013 Fourth International Conference, pp. 48–55 (2013)
Akyildiz, A.F., Brunetti, F., Blazquez, C.: A new communication paradigm. Comput. Netw. (Elsevier) J. 52, 2260–2279 (2008)
Shyamkumar, P., Rai, P., Oh, S., Ramasamy, M., Harbaugh, R., Varadan, V.: Wearable wireless cardiovascular monitoring using textile-based nanosensor and nanomaterial systems. Electronics 3(3), 504–520 (2014)
Kirichek, R., Pirmagomedov, R., Glushakov, R., Koucheryavy, A.: Live substance in cyberspace - biodriver system. In: Proceedings, 18th International Conference on Advanced Communication Technology (ICACT) 2016, Phoenix Park, Korea, pp. 274–278 (2016)
Seyedi, M., Kibret, B., Lai, D., Faulkner, M.: A survey on intrabody communications for body area network applications. IEEE Trans. Biomed. Eng. 60(8), 2067–2079 (2013)
Kumar, S., Nilsen, W., Abernethy, A., Atienza, A., Patrick, K., Pavel, M., Riley, W., Shar, A., Spring, B., Spruijt-Metz, D., Hedeker, D., Honavar, V., Kravitz, R., Lefebvre, R., Mohr, D., Murphy, S., Quinn, C., Shusterman, V., Swendem, D.: Mobile health technology evaluation: the mhealth evidence workshop. Am. J. Prev. Med. 45(2), 228–236 (2013)
Yang, K., Chopra, N., Upton, J., Hao, Y., Philpott, M., Alomainy, A., Abbasi, Q.H., Qaraqe, K.: Characterising skin-based nano-networks for healthcare monitoring applications at THz. In: 2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, pp. 199–200 (2015)
Gopinath, S., Tang, T., Chen, Y., Citartan, M., Lakshmipriya, T.: Bacterial detection: from microscope to smartphone. Biosens. Bioelectron. 60, 332–342 (2014)
Brufau, J., Puig-Vidal, M., Lopez-Sanchez, J., Samitie, J., Driesen, W., Breguet, J.: Small autonomous robot for cell manipulation applications. In: Proceedings of the 2005 IEEE International Conference on Robotics and Automation, pp. 844–849 (2005)
Gu, Z., Aimetti, A., Wang, Q., Dang, T., Zhang, Y., Veiseh, O., Cheng, H., Langer, R., Anderson, D.: Biomedical robotics and biomechatronics injectable nano-network for glucose- mediated insulin delivery. ACS Nano 7(5), 4194–4201 (2013)
Cho, S., Park, S.J., Choi, Y.J., Jung, H., Zheng, S., Ko, S.Y., Park, J., Park, S.: Biomedical robotics and biomechatronics. In: 5th IEEE RAS EMBS International Conference, pp. 856–860 (2014)
Najah, A.A., Mervat, A.: Internet of NanoThings healthcare applications: requirements, opportunities, and challenges. In: Wireless and Mobile Computing, Networking and Communications (WiMob) pp. 9–14 (2015)
Chornaya, D., Paramonov, A., Koucheryavy, A.: Investigation of machine-to-machine traffic generated by mobile terminals. In: Special Session on Recent Advances in Broadband Access Networks, pp. 210–213 (2014)
Kirichek, R., Golubeva, M., Kulik, V., Koucheryavy, A.: The home network traffic models investigation. In: 2016 18th International Conference on Advanced Communication Technology (ICACT) (2016)
Rupp, M., Laner, M., Svoboda, P.: Detecting M2M traffic in mobile cellular networks. In: IWSSIP 2014 Proceedings, pp. 159–162 (2014)
Al-Khatib, O., Hardjawana, W., Vucetic, B.: Traffic Modeling for Machine-to-Machine (M2M) Last Mile Wireless Access Networks, Globecom 2014 - Communications QoS, Reliability and Modelling Symposium. pp. 1199–1204
Paramonov, A., Koucheryavy, A.: M2M traffic models and flow types in case of mass event detection. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN 2014. LNCS, vol. 8638, pp. 294–300. Springer, Heidelberg (2014). doi:10.1007/978-3-319-10353-2_25
Parka, K., Kimb, G., Crovellab, M.: On the effect of traffic self-similarity on network performance. In: Proceedings of the SPIE International Conference on Performance and Control of Netork Systems, pp. 296–310 (1997)
Acknowledgments
The reported study was supported by RFBR, research project No. 16-37-00215 Biodriver.
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Pirmagomedov, R., Hudoev, I., Shangina, D. (2016). Simulation of Medical Sensor Nanonetwork Applications Traffic. In: Vishnevskiy, V., Samouylov, K., Kozyrev, D. (eds) Distributed Computer and Communication Networks. DCCN 2016. Communications in Computer and Information Science, vol 678. Springer, Cham. https://doi.org/10.1007/978-3-319-51917-3_38
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DOI: https://doi.org/10.1007/978-3-319-51917-3_38
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