SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:liu-153119"
 

Search: onr:"swepub:oai:DiVA.org:liu-153119" > A Joint Transmissio...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

A Joint Transmission Power Control and Duty-Cycle Approach for Smart Healthcare System

Sodhro, Ali Hassan, 1986- (author)
Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten,Electrical Engineering Department Sukkur IBA, Pakistan
Pirbhulal, Sandeep (author)
CAS, SIAT, Shenzhen, China
Sodhro, Gul Hassan (author)
Physics Shah Abdul Latif, Pakistan
show more...
Gurtov, Andrei, 1979- (author)
Linköpings universitet,Databas och informationsteknik,Tekniska fakulteten
Muzamal, Muhammad (author)
Department of Computer Science Bahria University, Pakistan
Luo, Zongwei (author)
Shenzhen Key Laboratory of Computational Intelligence, China
show less...
 (creator_code:org_t)
IEEE, 2019
2019
English.
In: IEEE Sensors Journal. - : IEEE. - 1530-437X .- 1558-1748. ; 19:19, s. 8479-8486
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • Emerging revolution in the healthcare has caught the attention of both the industry and academia due to the rapid proliferation in the wearable devices and innovative techniques. In the mean-time, Body Sensor Networks (BSNs) have become the potential candidate in transforming the entire landscape of the medical world. However, large battery lifetime and less power drain are very vital for these resource-constrained sensor devices while collecting the bio-signals. Hence, minimizing their charge and energy depletions are still very challenging tasks. It is examined through large real-time data sets that due to the dynamic nature of the wireless channel, the traditional predictive transmission power control (PTPC) and a constant transmission power techniques are no more supportive and potential candidates for BSNs. Thus this paper first, proposes a novel joint transmission power control (TPC) and duty-cycle adaptation based framework for pervasive healthcare. Second, adaptive energy-efficient transmission power control (AETPC) algorithm is developed by adapting the temporal variation in the on-body wireless channel amid static (i.e., standing and walking at a constant speed) and dynamic (i.e., running) body postures. Third, a Feedback Control-based duty-cycle algorithm is proposed for adjusting the execution period of tasks (i.e., sensing and transmission). Fourth, system-level battery and energy harvesting models are proposed for body sensor nodes by examining the energy depletion of sensing and transmission tasks. It is validated through Monte Carlo experimental analysis that proposed algorithm saves more energy of 11.5% with reasonable packet loss ratio (PLR) by adjusting both transmission power and duty-cycle unlike the conventional constant TPC and PTPC methods.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Engineering (hsv//eng)

Keyword

Duty-cycle;Body Posture;Smart Healthcare;energy harvesting;AETPC;BSN;PTPC;Constant TPC

Publication and Content Type

ref (subject category)
art (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view