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Power Control Algorithms for Media Transmission in Remote Healthcare Systems

Sodhro, Ali Hassan (author)
Decision and Information System for Production System LAB, University Lumiere Lyon2, Bron, France,RECS
Pirbhulal, Sandeep (author)
Qaraqe, Marwa (author)
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Lohano, Sonia (author)
Hassan Sodhro, Gul (author)
Ur Rehman Junejo, Naveed (author)
Luo, Zongwei (author)
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 (creator_code:org_t)
USA : IEEE, 2018
2018
English.
In: IEEE Access. - USA : IEEE. - 2169-3536. ; 6:2018, s. 42384-42393
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Currently, medical media technologies have become a center of attention due to emerging trends in miniaturized wearable devices from factories to health corner stores everywhere. Due to the power-constrained nature of these portable devices, it is challenging to adopt them during critical medical operations and diagnoses. Maximizing energy efficiency and, hence, extending the battery life is vital. In addition, conventional approaches with constant transmission power are inappropriate option for green and smart healthcare. Thus, this paper first proposes a transmission power control (TPC)-based energy-efficient algorithm (EEA) for when a subject is in different postures, i.e., standing, walking, and running, in wireless body sensor networks. Second, a hardware platform was developed on the Intel Galileo board to test and compare the proposed EEA and conventional adaptive TPC (ATPC) in terms of energy and channel reliability or packet loss ratio (PLR). Experimental results revealed that the proposed EEA obtained energy savings of 42.5% with an acceptable PLR compared with that of the traditional ATPC method.

Keyword

Healthcare systems
medical media
energy-efficient
adaptive
power control

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ref (subject category)
art (subject category)

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