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Simple Models Characterizing the Cell Dwell Time with a Log-Normal Distribution

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Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2015

Part of the book series: Studies in Computational Intelligence ((SCI,volume 612))

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Abstract

For designing a wireless network, the distribution of the cell dwell time of nodes is important. It was reported that the distribution of the cell dwell time is approximated by a log-normal distribution. Thus, in this paper, we present two simple models in order to estimate the probabilistic distribution of the cell dwell time. One is the model where a node moves straightforward and goes across a cell where the velocity of a node is given by a probabilistic density function. Another is the model of a random walk, named a “tipsy random walk,” where a node moves with constant velocity and turns gently. We show that the probabilistic distribution of the cell dwell time of each model can be approximated by a log-normal distribution.

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Correspondence to Naoshi Sakamoto .

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Sakamoto, N. (2016). Simple Models Characterizing the Cell Dwell Time with a Log-Normal Distribution. In: Lee, R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2015. Studies in Computational Intelligence, vol 612. Springer, Cham. https://doi.org/10.1007/978-3-319-23509-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-23509-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23508-0

  • Online ISBN: 978-3-319-23509-7

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