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Erschienen in:
Characterization and Identification of Driver Distraction During Naturalistic Driving: An Analysis of ECG Dynamics Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Medical Quality of Service Optimization over Joint Body Sensor Networks and Internet of Multimedia Things

verfasst von : Ali Hassan Sodhro, Aicha Sekhari, Yacine Ouzrout, Gul Hassan Sodhro, Noman Zahid, Sandeep Pirbhulal, M. Irfan Younas

Erschienen in: Advances in Body Area Networks I

Verlag: Springer International Publishing

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Abstract

This paper proposes novel Rate Control Video Transmission Algorithm (RCVTA) to optimize medical quality of service (m-QoS) in terms of network metrics such as, standard deviation (Std dev), throughput, peak-to-mean ratio (PMR), delay, average delay, jitter and average jitter during transmission of high-definition (HD) video stream named ‘Tracking and Retargeting in GI endoscopy’ over joint Internet of Multimedia Things (IoMT) and Body Sensor Networks (BSNs). Experimental results reveal that m-QoS is optimized with workahead transmission over joint BSN and IoMT networks for Tele-surgery.

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Vorheriges Kapitel A Noninvasive Continuous Fetal Heart Rate Monitoring System for Mobile Healthcare Based on Fetal Phonocardiography
Nächstes Kapitel An Encryption Method for BAN Using the Channel Characteristics
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Metadaten
Titel
Medical Quality of Service Optimization over Joint Body Sensor Networks and Internet of Multimedia Things
verfasst von
Ali Hassan Sodhro
Aicha Sekhari
Yacine Ouzrout
Gul Hassan Sodhro
Noman Zahid
Sandeep Pirbhulal
M. Irfan Younas
Copyright-Jahr
2019
Buch
Advances in Body Area Networks I

Print ISBN: 978-3-030-02818-3

Electronic ISBN: 978-3-030-02819-0

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-02819-0_16

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