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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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
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