论文信息 - A hybrid IoT traffic generator for mobile network performance assessment

A hybrid IoT traffic generator for mobile network performance assessment

Internet of Things (IoT) technology is the key enabler of the future with a massive number of connected devices. With the evolution of Machine Type Communications (MTC), the number of MTC devices in mobile networks is increasing rapidly to support IoT services. The massive number of short and bursty sessions introduced by MTC devices may result in congestion and system overload impacting human to human (H2H) communications in mobile networks. To study the overall network performance for the future scenarios to come, a flexible traffic model based on practical data is necessary. Unfortunately, scalable and realistic MTC traffic data is inaccessible in most cases. In this work, we propose a hybrid traffic framework by integrating open big data and MTC traffic models. The generated MTC traffic is based on geo-referenced H2H activities and can be used to help assessing mobile network performance.

[1] Olga Galinina,et al. Analyzing Impacts of Coexistence between M2M and H2H Communication on 3GPP LTE System , 2014, WWIC.

[2] Andrey Koucheryavy,et al. Ubiquitous Sensor Networks Traffic Models for Medical and Tracking Applications , 2012, NEW2AN.

[3] Markus Rupp,et al. Traffic Models for Machine Type Communications , 2013, ISWCS.

[4] Marco De Nadai,et al. A multi-source dataset of urban life in the city of Milan and the Province of Trentino , 2015, Scientific Data.

[5] Hsiao-Hwa Chen,et al. M2M Communications in 3GPP LTE/LTE-A Networks: Architectures, Service Requirements, Challenges, and Applications , 2015, IEEE Communications Surveys & Tutorials.

[6] Andrey Koucheryavy,et al. Ubiquitous Sensor Networks Traffic Models for Telemetry Applications , 2011, NEW2AN.

[7] Andrey Koucheryavy,et al. M2M Traffic Models and Flow Types in Case of Mass Event Detection , 2014, NEW2AN.

[8] Salvatore J. Stolfo,et al. Scalability of Machine to Machine systems and the Internet of Things on LTE mobile networks , 2015, 2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[9] Kaijie Zhou,et al. Simple Traffic Modeling Framework for Machine Type Communication , 2013, ISWCS.

[10] Lusheng Ji,et al. Large-Scale Measurement and Characterization of Cellular Machine-to-Machine Traffic , 2013, IEEE/ACM Transactions on Networking.