Green Media-Aware Medical IoT System

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Sodhro, Ali HassanSukkur IBA University, Sukkur, Sindh, Pakistan; DISP LAB, University Lumiere Lyon 2, Lyon, France,RECS (author)

Green Media-Aware Medical IoT System

Article/chapterEnglish2018

Publisher, publication year, extent ...

2018-01-29
Springer :Springer,2018
printrdacarrier

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LIBRIS-ID:oai:DiVA.org:miun-42889
https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-42889URI
https://doi.org/10.1007/s11042-018-5634-0DOI

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Language:English
Summary in:English

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SwePubSwePub

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Subject category:ref swepub-contenttype
Subject category:art swepub-publicationtype
Subject category:kfu swepub-publicationtype

Notes

Rapid proliferation in state-of-the art technologies has revolutionized the medical market for providing urgent, effective and economical health facilities to aging society. In this context media (i.e., video) transmission is considered as a quite significant step during first hour of the emergency for presenting a big and better picture of the event. However, the energy hungry media transmission process and slow progress in battery technologies have become a major and serious problem for the evolution of video technology in medical internet of things (MIoT) or internet of medical things (IoMT). So, promoting Green (i.e., energy-efficient) transmission during voluminous and variable bit rate (VBR) video in MIoT is a challenging and crucial problem for researchers and engineers. Therefore, the need arose to conduct research on Green media transmission techniques to cater the need of upcoming wearable healthcare devices. Thus, this research contributes in two distinct ways; first, a novel and sustainable Green Media Transmission Algorithm (GMTA) is proposed, second, a mathematical model and architecture of Green MIoT are designed by considering a 8-min medical media stream named, ‘Navigation to the Uterine Horn, transection of the horn and re-anastomosis’ to minimize transmission energy consumption in media-aware MIoT, and to develop feasible media transmission schedule for sensitive and urgent health information from physian to patients and vice vers through extremely power hungry natured wearable devices. The experimental results demonstrate that proposed GMTA saves energy up to 41%, to serve the community.

Subject headings and genre

Green
Media Transmission
Battery Friendly
Tools

Added entries (persons, corporate bodies, meetings, titles ...)

Sangaiah, Arun Kumar (author)
Pirphulal, Sandeep (author)
Sekhari, Aicha (author)
Ouzrout, Yacine (author)
Sukkur IBA University, Sukkur, Sindh, Pakistan; DISP LAB, University Lumiere Lyon 2, Lyon, FranceRECS (creator_code:org_t)

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In:Multimedia Tools and ApplicationsSpringer : Springer78:3, s. 3045-30641380-75011573-7721

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