Analyzing Latency and Dropping in Today’s Internet of Multimedia Things

Abstract

Internet of Multimedia Things (IoMT) applications such as real-time multimedia based security and monitoring in smart homes, hospitals, cities, and smart transportation management systems are of the most difficult systems to deploy. These services are highly time sensitive and require Quality of service (QoS) guarantees. QoS requirements are key factors that lead to variations of multimedia traffic quality and the Quality of Experience (QoE) for the end users. IoMT devices transmit measurements to a predefined IoMT application server subject to maximum QoS constraint. The delay and dropping are essential constraints as delayed packets are considered useless for the IoMT applications. Our objective is to obtain an approximate expression of the blocking probability due to either buffer overflow or violating certain end-to-end threshold. For this purpose, we employ M/G/1 framework for our network. We validate the proposed analytical model and demonstrate the blocking probability and end-to-end delay. We anticipate that our results are critical for optimizing IoMT network design and deployment.