Loading…

ResiDI: Towards a smarter smart home system for decision-making using wireless sensors and actuators

This article proposes ResiDI, an intelligent decision-making system for a residential distributed automation infrastructure based on wireless sensors and actuators. ResiDI transmits events using wireless technologies embedded in WSANs to reduce the wire load capacity of traditional systems. In addit...

Full description

Saved in:
Bibliographic Details
Published in:Computer networks (Amsterdam, Netherlands : 1999) Netherlands : 1999), 2018-04, Vol.135, p.54-69
Main Authors: P. R. Filho, Geraldo, A. Villas, Leandro, Freitas, Heitor, Valejo, Alan, L. Guidoni, Daniel, Ueyama, Jó
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c438t-1fdde360fba5a463f726033bc6d3934ca8241bb5ebb66fd2f5b825118ee1e39f3
cites cdi_FETCH-LOGICAL-c438t-1fdde360fba5a463f726033bc6d3934ca8241bb5ebb66fd2f5b825118ee1e39f3
container_end_page 69
container_issue
container_start_page 54
container_title Computer networks (Amsterdam, Netherlands : 1999)
container_volume 135
creator P. R. Filho, Geraldo
A. Villas, Leandro
Freitas, Heitor
Valejo, Alan
L. Guidoni, Daniel
Ueyama, Jó
description This article proposes ResiDI, an intelligent decision-making system for a residential distributed automation infrastructure based on wireless sensors and actuators. ResiDI transmits events using wireless technologies embedded in WSANs to reduce the wire load capacity of traditional systems. In addition, the nodes are equipped with batteries, as a backup system. These features allow the ResiDI to be installed anywhere in the house, without the need for drilling or changing any other pre-existing infrastructure. Furthermore, the roles and intelligence of ResiDI are distributed among the network nodes. Besides increasing precision in decision-making through a neural network, the ResiDI seeks to reduce node energy consumption by means of a temporal correlation mechanism. As proof of concept, a prototype was developed to integrate with ResiDI in order to demonstrate its viability. When compared with an approach in the literature, real and simulated results show that ResiDI makes three key contributions: (i) 22.03% increase in decision-making; (ii) 44.35% reduction in node energy consumption in a homogeneous way; and (iii) 95.24% efficiency in information transmission. Finally, ResiDI provides a gain in response time of 30.21%, so that the decision-making process is performed faster.
doi_str_mv 10.1016/j.comnet.2018.02.009
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2084459804</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1389128618300768</els_id><sourcerecordid>2084459804</sourcerecordid><originalsourceid>FETCH-LOGICAL-c438t-1fdde360fba5a463f726033bc6d3934ca8241bb5ebb66fd2f5b825118ee1e39f3</originalsourceid><addsrcrecordid>eNp9UE1LxTAQLKKgPv0HHgKeW_PVvNSDIH6DIIieQ5psNE_baLZP8d-bRz172dmFmVlmquqI0YZRpk5WjUvDCFPDKdMN5Q2l3Va1x_SS10uquu2yC93VjGu1W-0jriilUnK9V_lHwHh5d0qe0rfNHoklONg8QZ6RvKYBCP7gBAMJKRMPLmJMYz3Ytzi-kDVu5nfM8A6IBGHElIvN6Il109pO5TqodoJ9Rzj8w0X1fH31dHFb3z_c3F2c39dOCj3VLHgPQtHQ29ZKJcKSKypE75QXnZDOai5Z37fQ90oFz0Pba94ypgEYiC6IRXU8-37k9LkGnMwqrfNYXhpOtZRtp6ksLDmzXE6IGYL5yLFk_TGMmk2fZmXmPs2mT0O5KX0W2dksg5LgK0I26CKMDnzJ7ibjU_zf4BclGoIH</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2084459804</pqid></control><display><type>article</type><title>ResiDI: Towards a smarter smart home system for decision-making using wireless sensors and actuators</title><source>Library &amp; Information Science Abstracts (LISA)</source><source>ScienceDirect Freedom Collection</source><creator>P. R. Filho, Geraldo ; A. Villas, Leandro ; Freitas, Heitor ; Valejo, Alan ; L. Guidoni, Daniel ; Ueyama, Jó</creator><creatorcontrib>P. R. Filho, Geraldo ; A. Villas, Leandro ; Freitas, Heitor ; Valejo, Alan ; L. Guidoni, Daniel ; Ueyama, Jó</creatorcontrib><description>This article proposes ResiDI, an intelligent decision-making system for a residential distributed automation infrastructure based on wireless sensors and actuators. ResiDI transmits events using wireless technologies embedded in WSANs to reduce the wire load capacity of traditional systems. In addition, the nodes are equipped with batteries, as a backup system. These features allow the ResiDI to be installed anywhere in the house, without the need for drilling or changing any other pre-existing infrastructure. Furthermore, the roles and intelligence of ResiDI are distributed among the network nodes. Besides increasing precision in decision-making through a neural network, the ResiDI seeks to reduce node energy consumption by means of a temporal correlation mechanism. As proof of concept, a prototype was developed to integrate with ResiDI in order to demonstrate its viability. When compared with an approach in the literature, real and simulated results show that ResiDI makes three key contributions: (i) 22.03% increase in decision-making; (ii) 44.35% reduction in node energy consumption in a homogeneous way; and (iii) 95.24% efficiency in information transmission. Finally, ResiDI provides a gain in response time of 30.21%, so that the decision-making process is performed faster.</description><identifier>ISSN: 1389-1286</identifier><identifier>EISSN: 1872-7069</identifier><identifier>DOI: 10.1016/j.comnet.2018.02.009</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Actuator ; Actuators ; Computer simulation ; Decision making ; Domotic ; Energy consumption ; Energy efficiency ; Energy management ; Home Automation System ; Infrastructure ; Intelligent systems ; Neural networks ; Response time ; Sensor ; Sensors ; Smart home ; Smart houses ; Viability ; Wireless ; Wireless networks</subject><ispartof>Computer networks (Amsterdam, Netherlands : 1999), 2018-04, Vol.135, p.54-69</ispartof><rights>2018 Elsevier B.V.</rights><rights>Copyright Elsevier Sequoia S.A. Apr 22, 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-1fdde360fba5a463f726033bc6d3934ca8241bb5ebb66fd2f5b825118ee1e39f3</citedby><cites>FETCH-LOGICAL-c438t-1fdde360fba5a463f726033bc6d3934ca8241bb5ebb66fd2f5b825118ee1e39f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,786,790,27957,27958,34170</link.rule.ids></links><search><creatorcontrib>P. R. Filho, Geraldo</creatorcontrib><creatorcontrib>A. Villas, Leandro</creatorcontrib><creatorcontrib>Freitas, Heitor</creatorcontrib><creatorcontrib>Valejo, Alan</creatorcontrib><creatorcontrib>L. Guidoni, Daniel</creatorcontrib><creatorcontrib>Ueyama, Jó</creatorcontrib><title>ResiDI: Towards a smarter smart home system for decision-making using wireless sensors and actuators</title><title>Computer networks (Amsterdam, Netherlands : 1999)</title><description>This article proposes ResiDI, an intelligent decision-making system for a residential distributed automation infrastructure based on wireless sensors and actuators. ResiDI transmits events using wireless technologies embedded in WSANs to reduce the wire load capacity of traditional systems. In addition, the nodes are equipped with batteries, as a backup system. These features allow the ResiDI to be installed anywhere in the house, without the need for drilling or changing any other pre-existing infrastructure. Furthermore, the roles and intelligence of ResiDI are distributed among the network nodes. Besides increasing precision in decision-making through a neural network, the ResiDI seeks to reduce node energy consumption by means of a temporal correlation mechanism. As proof of concept, a prototype was developed to integrate with ResiDI in order to demonstrate its viability. When compared with an approach in the literature, real and simulated results show that ResiDI makes three key contributions: (i) 22.03% increase in decision-making; (ii) 44.35% reduction in node energy consumption in a homogeneous way; and (iii) 95.24% efficiency in information transmission. Finally, ResiDI provides a gain in response time of 30.21%, so that the decision-making process is performed faster.</description><subject>Actuator</subject><subject>Actuators</subject><subject>Computer simulation</subject><subject>Decision making</subject><subject>Domotic</subject><subject>Energy consumption</subject><subject>Energy efficiency</subject><subject>Energy management</subject><subject>Home Automation System</subject><subject>Infrastructure</subject><subject>Intelligent systems</subject><subject>Neural networks</subject><subject>Response time</subject><subject>Sensor</subject><subject>Sensors</subject><subject>Smart home</subject><subject>Smart houses</subject><subject>Viability</subject><subject>Wireless</subject><subject>Wireless networks</subject><issn>1389-1286</issn><issn>1872-7069</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>F2A</sourceid><recordid>eNp9UE1LxTAQLKKgPv0HHgKeW_PVvNSDIH6DIIieQ5psNE_baLZP8d-bRz172dmFmVlmquqI0YZRpk5WjUvDCFPDKdMN5Q2l3Va1x_SS10uquu2yC93VjGu1W-0jriilUnK9V_lHwHh5d0qe0rfNHoklONg8QZ6RvKYBCP7gBAMJKRMPLmJMYz3Ytzi-kDVu5nfM8A6IBGHElIvN6Il109pO5TqodoJ9Rzj8w0X1fH31dHFb3z_c3F2c39dOCj3VLHgPQtHQ29ZKJcKSKypE75QXnZDOai5Z37fQ90oFz0Pba94ypgEYiC6IRXU8-37k9LkGnMwqrfNYXhpOtZRtp6ksLDmzXE6IGYL5yLFk_TGMmk2fZmXmPs2mT0O5KX0W2dksg5LgK0I26CKMDnzJ7ibjU_zf4BclGoIH</recordid><startdate>20180422</startdate><enddate>20180422</enddate><creator>P. R. Filho, Geraldo</creator><creator>A. Villas, Leandro</creator><creator>Freitas, Heitor</creator><creator>Valejo, Alan</creator><creator>L. Guidoni, Daniel</creator><creator>Ueyama, Jó</creator><general>Elsevier B.V</general><general>Elsevier Sequoia S.A</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>E3H</scope><scope>F2A</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20180422</creationdate><title>ResiDI: Towards a smarter smart home system for decision-making using wireless sensors and actuators</title><author>P. R. Filho, Geraldo ; A. Villas, Leandro ; Freitas, Heitor ; Valejo, Alan ; L. Guidoni, Daniel ; Ueyama, Jó</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-1fdde360fba5a463f726033bc6d3934ca8241bb5ebb66fd2f5b825118ee1e39f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Actuator</topic><topic>Actuators</topic><topic>Computer simulation</topic><topic>Decision making</topic><topic>Domotic</topic><topic>Energy consumption</topic><topic>Energy efficiency</topic><topic>Energy management</topic><topic>Home Automation System</topic><topic>Infrastructure</topic><topic>Intelligent systems</topic><topic>Neural networks</topic><topic>Response time</topic><topic>Sensor</topic><topic>Sensors</topic><topic>Smart home</topic><topic>Smart houses</topic><topic>Viability</topic><topic>Wireless</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>P. R. Filho, Geraldo</creatorcontrib><creatorcontrib>A. Villas, Leandro</creatorcontrib><creatorcontrib>Freitas, Heitor</creatorcontrib><creatorcontrib>Valejo, Alan</creatorcontrib><creatorcontrib>L. Guidoni, Daniel</creatorcontrib><creatorcontrib>Ueyama, Jó</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>Library &amp; Information Sciences Abstracts (LISA)</collection><collection>Library &amp; Information Science Abstracts (LISA)</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computer networks (Amsterdam, Netherlands : 1999)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>P. R. Filho, Geraldo</au><au>A. Villas, Leandro</au><au>Freitas, Heitor</au><au>Valejo, Alan</au><au>L. Guidoni, Daniel</au><au>Ueyama, Jó</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ResiDI: Towards a smarter smart home system for decision-making using wireless sensors and actuators</atitle><jtitle>Computer networks (Amsterdam, Netherlands : 1999)</jtitle><date>2018-04-22</date><risdate>2018</risdate><volume>135</volume><spage>54</spage><epage>69</epage><pages>54-69</pages><issn>1389-1286</issn><eissn>1872-7069</eissn><abstract>This article proposes ResiDI, an intelligent decision-making system for a residential distributed automation infrastructure based on wireless sensors and actuators. ResiDI transmits events using wireless technologies embedded in WSANs to reduce the wire load capacity of traditional systems. In addition, the nodes are equipped with batteries, as a backup system. These features allow the ResiDI to be installed anywhere in the house, without the need for drilling or changing any other pre-existing infrastructure. Furthermore, the roles and intelligence of ResiDI are distributed among the network nodes. Besides increasing precision in decision-making through a neural network, the ResiDI seeks to reduce node energy consumption by means of a temporal correlation mechanism. As proof of concept, a prototype was developed to integrate with ResiDI in order to demonstrate its viability. When compared with an approach in the literature, real and simulated results show that ResiDI makes three key contributions: (i) 22.03% increase in decision-making; (ii) 44.35% reduction in node energy consumption in a homogeneous way; and (iii) 95.24% efficiency in information transmission. Finally, ResiDI provides a gain in response time of 30.21%, so that the decision-making process is performed faster.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.comnet.2018.02.009</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1389-1286
ispartof Computer networks (Amsterdam, Netherlands : 1999), 2018-04, Vol.135, p.54-69
issn 1389-1286
1872-7069
language eng
recordid cdi_proquest_journals_2084459804
source Library & Information Science Abstracts (LISA); ScienceDirect Freedom Collection
subjects Actuator
Actuators
Computer simulation
Decision making
Domotic
Energy consumption
Energy efficiency
Energy management
Home Automation System
Infrastructure
Intelligent systems
Neural networks
Response time
Sensor
Sensors
Smart home
Smart houses
Viability
Wireless
Wireless networks
title ResiDI: Towards a smarter smart home system for decision-making using wireless sensors and actuators
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-09-22T08%3A34%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=ResiDI:%20Towards%20a%20smarter%20smart%20home%20system%20for%20decision-making%20using%20wireless%20sensors%20and%20actuators&rft.jtitle=Computer%20networks%20(Amsterdam,%20Netherlands%20:%201999)&rft.au=P.%20R.%20Filho,%20Geraldo&rft.date=2018-04-22&rft.volume=135&rft.spage=54&rft.epage=69&rft.pages=54-69&rft.issn=1389-1286&rft.eissn=1872-7069&rft_id=info:doi/10.1016/j.comnet.2018.02.009&rft_dat=%3Cproquest_cross%3E2084459804%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c438t-1fdde360fba5a463f726033bc6d3934ca8241bb5ebb66fd2f5b825118ee1e39f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2084459804&rft_id=info:pmid/&rfr_iscdi=true