This paper proposes a versatile approach to model aggregated traffic flows in the Internet of Things (IoT) using renewal approximation. The modeled traffic originates from a large number of sources or devices consisting of a set of sensors mixed with classical elastic random traffic modeled as Poisson arrival process. The work shows the exact derivation in the simple case for periodic sensors. It shows further results in the mixed case with periodic sensors and a background process. The renewal approximation allows to derive the required number of sensors such that the aggregated traffic can be approximated as Poisson process.
%0 Conference Paper
%1 info3-article-2019-8
%A Wamser, Florian
%A Tran-Gia, Phuoc
%A Geissler, Stefan
%A Hoßfeld, Tobias
%B International Conference on Optimization and Decision Science (ODS2019)
%D 2019
%K myown 5cale iot can net-man
%T Modeling of Traffic Flows in Internet of Things Using Renewal Approximation
%X This paper proposes a versatile approach to model aggregated traffic flows in the Internet of Things (IoT) using renewal approximation. The modeled traffic originates from a large number of sources or devices consisting of a set of sensors mixed with classical elastic random traffic modeled as Poisson arrival process. The work shows the exact derivation in the simple case for periodic sensors. It shows further results in the mixed case with periodic sensors and a background process. The renewal approximation allows to derive the required number of sensors such that the aggregated traffic can be approximated as Poisson process.
@inproceedings{info3-article-2019-8,
abstract = {This paper proposes a versatile approach to model aggregated traffic flows in the Internet of Things (IoT) using renewal approximation. The modeled traffic originates from a large number of sources or devices consisting of a set of sensors mixed with classical elastic random traffic modeled as Poisson arrival process. The work shows the exact derivation in the simple case for periodic sensors. It shows further results in the mixed case with periodic sensors and a background process. The renewal approximation allows to derive the required number of sensors such that the aggregated traffic can be approximated as Poisson process.},
added-at = {2019-07-08T11:07:15.000+0200},
author = {Wamser, Florian and Tran-Gia, Phuoc and Geissler, Stefan and Hoßfeld, Tobias},
biburl = {https://www.bibsonomy.org/bibtex/2ca8dd49062bee0f6e546014e6b416f10/uniwue_info3},
booktitle = {International Conference on Optimization and Decision Science (ODS2019)},
interhash = {bc168298a8fbe4c2a4b018cdd60adb34},
intrahash = {ca8dd49062bee0f6e546014e6b416f10},
keywords = {myown 5cale iot can net-man},
month = {9},
timestamp = {2022-03-14T00:14:01.000+0100},
title = {Modeling of Traffic Flows in Internet of Things Using Renewal Approximation},
year = 2019
}