Overview of machine-type communications traffic patterns

A concise overview of Machine Type communication (MTC) is presented to encompass the various traffic patterns and models from the literature. Since M2M applications may well be generating huge traffic and resulting in bandwidth intensive transactions vying for priority, network operators must obviously be concerned about the handling of the enormous escalation in their signalling traffic and, in particular, finding new ways to satiate the M2M applications, improve the efficiency of resource utilization and effectively control service level agreements. Hence, in order to efficiently design and thereby control the future Internet needs one must take stock of the principal traffic attributes. This contribution brings forward an overview of MTC traffic patterns.

[1]  Paulo Salvador,et al.  Characterization and Modeling of M2M Video Surveillance Traffic , 2012 .

[2]  Abdelfettah Belghith,et al.  A distributed advanced analytical trust model for VANETs , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[3]  Abdelfettah Belghith,et al.  Autonomic Self Tunable Proactive Routing in Mobile Ad Hoc Networks , 2009, 2009 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications.

[4]  Dalicia Bouallouche,et al.  Congestion Control in the context of Machine Type Communication in Long Term Evolution Networks: a Dynamic Load Balancing Approach , 2012 .

[5]  Ray-Guang Cheng,et al.  RACH Collision Probability for Machine-Type Communications , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).

[6]  Mary Ann Piette,et al.  Machine to Machine (M2M) Technology in Demand Responsive Commercial Buildings , 2004 .

[7]  Darko Huljenic,et al.  Basic principles of Machine-to-Machine communication and its impact on telecommunications industry , 2011, 2011 Proceedings of the 34th International Convention MIPRO.

[8]  R. Ezzine,et al.  A new generic model for signal propagation in Wi-Fi and WiMAX environments , 2008, 2008 1st IFIP Wireless Days.

[9]  Abdelfettah Belghith,et al.  Neighborhood aware power saving mechanisms for ad hoc networks , 2008, 2008 33rd IEEE Conference on Local Computer Networks (LCN).

[10]  Jean-Marie Bonnin,et al.  Technology Integration Framework for Fast and Low Cost Handovers - Case Study: WiFi-WiMAX Network , 2010, J. Comput. Networks Commun..

[11]  Sergej Pocuca,et al.  Machine to machine (M2M) communication impacts on mobile network capacity and behaviour , 2012, 2012 Proceedings of the 35th International Convention MIPRO.

[12]  Anders Orrevad.  M2M Traffic Characteristics : When machines participate in communication , 2009 .

[13]  Navid Nikaein,et al.  Latency for Real-Time Machine-to-Machine Communication in LTE-Based System Architecture , 2011, EW.

[14]  Xue-fen Chi,et al.  Queuing Theory Based Service Performance Evaluation Under H2h And M2 M Blending Traffic Arriving , 2011 .

[15]  Abdelfettah Belghith,et al.  Stability routing with constrained path length for improved routability in dynamic MANETs , 2011, Personal and Ubiquitous Computing.

[16]  Navid Nikaein,et al.  Traffic generation application for simulating online games and M2M applications via wireless networks , 2012, 2012 9th Annual Conference on Wireless On-Demand Network Systems and Services (WONS).

[17]  Kwang-Cheng Chen,et al.  Congestion control for M2M traffic with heterogeneous throughput demands , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

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

[19]  Lusheng Ji,et al.  A first look at cellular machine-to-machine traffic: large scale measurement and characterization , 2012, SIGMETRICS '12.

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