Smart City Gnosys

Smart city article details

Title	Traffic Modelling For Iot Networks: A Survey
ID_Doc	58631
Authors	Li Y.; Tu W.
Year	2020
Published	ACM International Conference Proceeding Series
DOI	http://dx.doi.org/10.1145/3418981.3418986
Abstract	A network traffic model obtains the rules and characteristics of computer networks to support the monitoring, predicting, managing, and securing of network services. With the fast development of various Internet-of-Things (IoT) applications, the end users/devices attached to and the application data transferred through modern computer networks are quite different from those in traditional computer networks. This paper first reviews existing network traffic models developed for traditional computer networks, by mainly studying short-range dependence models and long-range dependence models. We then look into major IoT applications proposed for smart cities. We compare and summarise the characteristics of networks, data traffic, energy requirements, etc. for these different IoT applications, and hence the challenges when modelling and representing data traffic future computer networks. According to the challenges presented, existing solutions and future potential directions are discussed. We hope that our study may provide references and research insights to support the emerging needs of traffic modelling in IoT networks. © 2020 ACM.
Author Keywords	Computer networks; Data traffic models; Internet-of-Things applications; IoT networks; Machine learning

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