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Green Media-Aware M...
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Sodhro, Ali HassanSukkur IBA University, Sukkur, Sindh, Pakistan; DISP LAB, University Lumiere Lyon 2, Lyon, France,RECS
(författare)
Green Media-Aware Medical IoT System
- Artikel/kapitelEngelska2018
Förlag, utgivningsår, omfång ...
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2018-01-29
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Springer :Springer,2018
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printrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:miun-42889
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https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-42889URI
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https://doi.org/10.1007/s11042-018-5634-0DOI
Kompletterande språkuppgifter
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Språk:engelska
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Sammanfattning på:engelska
Ingår i deldatabas
Klassifikation
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
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Ämneskategori:kfu swepub-publicationtype
Anmärkningar
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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.
Ämnesord och genrebeteckningar
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Green
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Media Transmission
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Battery Friendly
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Tools
Biuppslag (personer, institutioner, konferenser, titlar ...)
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Sangaiah, Arun Kumar
(författare)
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Pirphulal, Sandeep
(författare)
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Sekhari, Aicha
(författare)
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Ouzrout, Yacine
(författare)
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Sukkur IBA University, Sukkur, Sindh, Pakistan; DISP LAB, University Lumiere Lyon 2, Lyon, FranceRECS
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Multimedia Tools and ApplicationsSpringer : Springer78:3, s. 3045-30641380-75011573-7721
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