Power Control Algorithms for Media Transmission in Remote Healthcare Systems | Zendy

Ali Hassan Sodhro | Zendy; Sandeep Pirbhulal | Zendy; Marwa Qaraqe | Zendy; Sonia Lohano | Zendy; Gul Hassan Sodhro | Zendy; Naveed Ur Rehman Junejo | Zendy; Zongwei Luo | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Power Control Algorithms for Media Transmission in Remote Healthcare Systems

Author(s) -

Ali Hassan Sodhro,

Sandeep Pirbhulal,

Marwa Qaraqe,

Sonia Lohano,

Gul Hassan Sodhro,

Naveed Ur Rehman Junejo,

Zongwei Luo

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2859205

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research