Abstract
With an increase of number of Ubiquitous Sensor Networks (USN) relevance of the traffic analysis in these networks also grows. In this research we tried to describe the traffic produced by USN performing one of the specific tasks - target tracking. We used ON-OFF model for the source traffic simulating. The purpose of the research was to determine how parameters of source traffic model (such as ON and OFF periods average length, shape parameter of the Pareto distribution and packet rate during ON period) influence on the traffic at the sink. The research showed that ON periods length and packet rate during ON periods take strong effect on the aggregated traffic in the target tracking USN. On the other hand weight of the ON and OFF times distribution tail and average OFF periods length do not cause statistically significant influence on the traffic characteristics.
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References
Sorensen, L., Skouby, K.E.: Use scenarios 2020 - a worldwide wireless future. Visions and research directions for the Wireless World. Outlook. Wireless World Research Forum 4 (2009)
Waldner, J.-B.: Nanocomputers and Swarm Intelligence. ISTE. Wiley&Sons, London (2008)
Recommendation Y.: Overview of Internet of Things. ITU-T 2060, Geneva (2012)
Willinger, W., Taqqu, M., Sherman, R., Wilson, D.: Self-similarity through High-variability. IEEE/ACM Transaction on Networking 15(1), 71–86 (1997)
Wang, Q., Zhang, T.: Source Traffic Modelling in Wireless Sensor Networks for Target Tracking. In: 5th ACM International Simposium on Performance Evaluation of Wireless Ad Hoc Sensor and Ubiquitous Networks, pp. 96–100 (2008)
Wang, P., Akyildiz, I.F.: Spatial Correlation and Mobility Aware Traffic Modelling for Wireless Sensor Networks. In: IEEE Global Communications Conference, GLOBECOM 2009 (2009)
Koucheryavy, A., Prokopiev, A.: Ubiquitous Sensor Networks Traffic Models for Telemetry Applications. In: Balandin, S., Koucheryavy, Y., Hu, H. (eds.) NEW2AN 2011 and ruSMART 2011. LNCS, vol. 6869, pp. 287–294. Springer, Heidelberg (2011)
Hurst, H.E.: Long-term storage of reservoirs: An experimental study. Transactions of the American Society of Civil Engineers 116, 770–799 (1951)
Robinson, P.M.: Gaussian Semiparametric Estimation of Long Range Dependence. Annals of Statistics 23, 1630–1661 (1995)
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Vybornova, A., Koucheryavy, A. (2014). Traffic Analysis in Target Tracking Ubiquitous Sensor Networks. 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_34
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DOI: https://doi.org/10.1007/978-3-319-10353-2_34
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10352-5
Online ISBN: 978-3-319-10353-2
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