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Smart Home and Ambient Assisted Living Based on the Internet of Things

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 7 No. 3 (2017)

DOI
10.11591/ijece.v7i3.pp1480-1488
ISSN
2088-8708, 2088-8708
Published
2017-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

This paper presents a Smart Home and Ambient Assisted Living (SHAAL) system that has been developed and tested in a real experimental home environment. SHAAL system is designed on wireless sensor network (WSN) linked to the cloud network on the Internet. The development of SHAAL is divided into two phases: the design of SHAAL network and the development of SHAAL applications. SHAAL network is made up of the home network which is the WSN, and the cloud network. The network is designed using TelG mote that operates under Zigbee technology and includes various sensor modules for SHAAL system. The cloud network consists of the gateway, the server and user devices running on third generation (3G) network. Using priority scheduling algorithm for data transmission, it is shown that the performance delay of this system on the test-bed experiment is 34.2 percent less compared to the theoretical study. The implementation of the experimental testbed has proven that SHAAL has been successfully designed and deployed in the real world.

Collaboration network of the authors

15 authors · 45 co-authorship links · 11 across different organisations

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  • University of Technology Malaysia
  • Politeknik Ibrahim Sultan
  • Shibaura Institute of Technology
  • The Future University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sharifah H. S. AriffinUniversity of Technology Malaysia2
Arfah A. HasbollahPoliteknik Ibrahim Sultan1
Kamaludin Mohamad YusufUniversity of Technology Malaysia1
Hiroaki MorinoShibaura Institute of Technology1
Sharifah Kamilah Syed YusofUniversity of Technology Malaysia1
Mohamed Khalafalla HassanUniversity of Technology Malaysia1
Mohammed E. A. KanonaThe Future University1
Mohamed RavaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Smart Home and Ambient Assisted Living Based on the Internet of Things</dc:title><dc:creator>Sayuti, H.</dc:creator><dc:creator>Rashid, R. A.</dc:creator><dc:creator>Latiff, N. M. Abdul</dc:creator><dc:creator>Rahim, M. R. Abdul</dc:creator><dc:creator>Hamid, A. H. F. Abdul</dc:creator><dc:creator>Sarijari, M. A.</dc:creator><dc:creator>Ghazali, N. E.</dc:creator><dc:description>&lt;jats:p&gt;This paper presents a Smart Home and Ambient Assisted Living (SHAAL) system that has been developed and tested in a real experimental home environment. SHAAL system is designed on wireless sensor network (WSN) linked to the cloud network on the Internet. The development of SHAAL is divided into two phases: the design of SHAAL network and the development of SHAAL applications. SHAAL network is made up of the home network which is the WSN, and the cloud network. The network is designed using TelG mote that operates under Zigbee technology and includes various sensor modules for SHAAL system. The cloud network consists of the gateway, the server and user devices running on third generation (3G) network. Using priority scheduling algorithm for data transmission, it is shown that the performance delay of this system on the test-bed experiment is 34.2 percent less compared to the theoretical study. The implementation of the experimental testbed has proven that SHAAL has been successfully designed and deployed in the real world.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2017-06-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v7i3.pp1480-1488</dc:identifier><dc:identifier>10.11591/ijece.v7i3.pp1480-1488</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 7 No 3 (2017); 1480</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/7513/6564</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>