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

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    Type
    Conference Paper
    Authors
    Alaslani, Maha S. cc
    Shihada, Basem cc
    KAUST Department
    Computer Science
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2019-01
    Permanent link to this record
    http://hdl.handle.net/10754/656132
    
    Metadata
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    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.
    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.2019.8651876
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Conference/Event name
    2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)
    DOI
    10.1109/CCNC.2019.8651876
    Additional Links
    https://ieeexplore.ieee.org/document/8651876/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8651876
    ae974a485f413a2113503eed53cd6c53
    10.1109/CCNC.2019.8651876
    Scopus Count
    Collections
    Conference Papers; Computer Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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