Simple Traffic Modeling Framework for Machine Type Communication

Understanding the machine-type communication (MTC) traffic is a key for designing and optimizing a network and the applicable QoS scheme capable of providing adequate communication services without compromising the conventional services such as data, voice, and video. In this paper, we propose a framework for traffic modeling, generation, and load estimation for machine-type communication that can be used to optimize the network to the intrinsic MTC traffic characteristic. For this purpose, key MTC traffic parameters are also derived and examined through a realtime sensor-based event detection application scenario highlighting the traffic pattern and volume generated by such an application.