Analyzing Latency and Dropping in Today’s Internet of Multimedia Things
Type
Conference PaperAuthors
Alaslani, Maha S.
Shihada, Basem

KAUST Department
Computer ScienceComputer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Date
2019-01Permanent link to this record
http://hdl.handle.net/10754/656132
Metadata
Show full item recordAbstract
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.Citation
AlAslani, M., & Shihada, B. (2019). Analyzing Latency and Dropping in Today’s Internet of Multimedia Things. 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC). doi:10.1109/ccnc.2019.8651876Conference/Event name
2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)Additional Links
https://ieeexplore.ieee.org/document/8651876/https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8651876
ae974a485f413a2113503eed53cd6c53
10.1109/CCNC.2019.8651876