A first look at cellular machine-to-machine traffic: large scale measurement and characterization

By M. Shafiq, Lusheng Ji, Alex X. Liu, Jeffrey Pang, Jia Wang. Measurement and Modeling of Computer Systems, 2012

301 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/cdb0051eeb2498c1fc1b823592a3a7038457ddc5

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications (2015, background): “also showed an increase of 250% for M2M traffic volume in 2011 [12].”
From Scaling Disparities to Integrated Parallelism: A Decathlon for a Decade (2017, background): “(IoT) is expected to dominate mobile data traffic in the near future [6].”
Characterizing and classifying IoT traffic in smart cities and campuses (2017, background): “The work in [6] is one of the first large-scale studies to delve into the nature of M2M traffic.”
Understanding the impact of network dynamics on mobile video user engagement (2014, methodology): “We identify video player types using the available user agent information [23, 24], which enables us to differentiate among video players on different hardware models, operating system versions, and web browsers.”
SoftCell: scalable and flexible cellular core network architecture (2013, background): “Cellular data traffic has exploded in recent years, in large part due to the rapid proliferation of cellular devices such as smart phones, tablets, smart meters and other Machine-toMachine (M2M) devices [1].”
Classifying IoT Devices in Smart Environments Using Network Traffic Characteristics (2019, background): “The work in [20] is one of the first large-scale studies to delve into the nature of M2M traffic.”
M2M Communications in 3GPP LTE/LTE-A Networks: Architectures, Service Requirements, Challenges, and Applications (2015, background): “Although those intervals may range from several minutes to hours [110], the aggregation”
OpenNF (2014, background): “However, since ﬂow durations are unbounded, this approach cannot guarantee the SLA will be satisﬁed: e.g., up to 40% of ﬂows in cellular networks last longer than 10 minutes [36].”