liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Towards Wearable Sensing Enabled Healthcare Framework for Elderly Patients
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
Univ Sharjah, U Arab Emirates; KASIT, South Korea; Univ Jordan, Jordan; Univ Sci & Technol, Peoples R China.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-9829-9287
Sukkur IBA Univ, Pakistan.
Show others and affiliations
2020 (English)In: ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE , 2020Conference paper, Published paper (Refereed)
Abstract [en]

The pervasive and smart healthcare is important for elderly patients which has revolutionized the medical world and caught the attention from industry and academia with the help of portable sensor-enabled devices. Tiny size and resource-constrained nature restricts them to perform several tasks at a time. Thus, energy drain, limited battery lifetime, and high packet loss ratio (PLR) are the key challenges to be tackled carefully for ubiquitous healthcare. Energy efficiency, reliability and longer battery cycle are the vital ingredients for wearable devices to empower cost-effective and pervasive medical environment. Thus,this research work has three key contributions. First, a novel transmission power control driven energy efficient algorithm (EEA) is proposed to enhance energy, battery lifetime and reliability while monitoring the health status of elderly patients. Proposed EEA and conventional constant transmission power control (TPC) are evaluated by adopting real-time datasets of static (i.e., wheelchair sitting) and dynamic (i.e., wheelchair moving) body postures of elderly patients. Second, smart healthcare framework is proposed. Third, performance metrics such as, energy drain, battery lifetime and reliability are introduced and calculated by considering average and threshold RSSI and TPC values. Finally, it is observed through experimental analysis that the proposed EEA enhances energy efficiency with acceptable PLR than the constant TPC during data transmission.

Place, publisher, year, edition, pages
IEEE , 2020.
Series
IEEE International Conference on Communications, ISSN 1550-3607
Keywords [en]
Wearable Sensing Technology; Smart; Elderly heathcare; constant TPC
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:liu:diva-173889DOI: 10.1109/ICC40277.2020.9149286ISI: 000606970304043ISBN: 978-1-7281-5089-5 (electronic)OAI: oai:DiVA.org:liu-173889DiVA, id: diva2:1535919
Conference
IEEE International Conference on Communications (IEEE ICC) / Workshop on NOMA for 5G and Beyond, ELECTR NETWORK, jun 07-11, 2020
Note

Funding Agencies|CENIIT project 17.01 Computer and Information Science department, Linkoping University, Linkoping, Sweden; PIFI [2020BVC0002]; Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences (SIAT,CAS), Shenzhen; PR of China Ministry of Education Distinguished Possessor Grant [MS2017BJKJ003]; Programa Operacional Regional do Centro (CENTRO 2020), through the Sistema de Apoio Investigao Cientfica e Tecnolgica Programas Integrados de ICDT

Available from: 2021-03-09 Created: 2021-03-09 Last updated: 2021-03-09

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Sodhro, Ali HassanGurtov, Andrei
By organisation
Database and information techniquesFaculty of Science & Engineering
Computer Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 20 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf