Adaptive query algorithm for location oriented applications
The Internet of Things and Ubiquitous Computing are becoming more and more popular in the IT world. There are increasingly more heterogeneous systems of interconnected devices, from general purpose smartphones to highly specialized embedded devices. An important constraint of mobile devices is the l...
Gespeichert in:
Hauptverfasser: | , , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 5 |
---|---|
container_issue | |
container_start_page | 1 |
container_title | |
container_volume | |
creator | Rizea, Daniel-Octavian Tudose, D. Olteanu, A. Tapus, N. |
description | The Internet of Things and Ubiquitous Computing are becoming more and more popular in the IT world. There are increasingly more heterogeneous systems of interconnected devices, from general purpose smartphones to highly specialized embedded devices. An important constraint of mobile devices is the limited battery capacity. Users will stop using devices that have to be recharged frequently and that are not reliable. For both small sensors and mobile devices a significant energy is consumed with data communication. We develop a system, consisting of a smartphone and an embedded device designed to measure air quality. This paper presents an Adaptive Query Algorithm that can improve the energy consumption for Bluetooth data transfers between the smartphone and the embedded device. Our tests show that considerate querying can lead to power consumption 20 times smaller than in the case of a permanent connection. |
doi_str_mv | 10.1109/RoEduNet.2013.6511725 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6511725</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6511725</ieee_id><sourcerecordid>6511725</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-89a60db30a03b00e8d314835b5ab26f960b5a0fc11c240cccf47a54d2bf7ac163</originalsourceid><addsrcrecordid>eNo1j9tKw0AYhFdUsNY8gQj7Aqn_v-fgVSmtCkVB9Lps9qAraROTrdC3N9A6NzPzXQwMIXcIM0So7t_apd-_hDxjgHymJKJm8owUlTYolOYKUfFzcv1fBL8gEwbKlAjcXJFiGL5hlAHQWk_Iw9zbLqffQH_2oT9Q23y2fcpfWxrbnjatszm1OzqysMvBU9t1TTrC4YZcRtsMoTj5lHyslu-Lp3L9-vi8mK_LhFrm0lRWga85WOA1QDCeozBc1tLWTMVKwZggOkTHBDjnotBWCs_qqK0b70zJ7XE3hRA2XZ-2tj9sTt_5H356TQ0</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Adaptive query algorithm for location oriented applications</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Rizea, Daniel-Octavian ; Tudose, D. ; Olteanu, A. ; Tapus, N.</creator><creatorcontrib>Rizea, Daniel-Octavian ; Tudose, D. ; Olteanu, A. ; Tapus, N.</creatorcontrib><description>The Internet of Things and Ubiquitous Computing are becoming more and more popular in the IT world. There are increasingly more heterogeneous systems of interconnected devices, from general purpose smartphones to highly specialized embedded devices. An important constraint of mobile devices is the limited battery capacity. Users will stop using devices that have to be recharged frequently and that are not reliable. For both small sensors and mobile devices a significant energy is consumed with data communication. We develop a system, consisting of a smartphone and an embedded device designed to measure air quality. This paper presents an Adaptive Query Algorithm that can improve the energy consumption for Bluetooth data transfers between the smartphone and the embedded device. Our tests show that considerate querying can lead to power consumption 20 times smaller than in the case of a permanent connection.</description><identifier>ISSN: 2068-1038</identifier><identifier>ISBN: 1467361143</identifier><identifier>ISBN: 9781467361149</identifier><identifier>EISBN: 9781467361163</identifier><identifier>EISBN: 146736116X</identifier><identifier>DOI: 10.1109/RoEduNet.2013.6511725</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive algorithms ; Bluetooth ; communication ; Energy consumption ; location oriented ; Pollution ; power consumption ; Power demand ; Sensors ; Smart phones ; smartphones</subject><ispartof>2013 11th RoEduNet International Conference, 2013, p.1-5</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6511725$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,781,785,790,791,2059,27927,54922</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6511725$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Rizea, Daniel-Octavian</creatorcontrib><creatorcontrib>Tudose, D.</creatorcontrib><creatorcontrib>Olteanu, A.</creatorcontrib><creatorcontrib>Tapus, N.</creatorcontrib><title>Adaptive query algorithm for location oriented applications</title><title>2013 11th RoEduNet International Conference</title><addtitle>RoEduNet</addtitle><description>The Internet of Things and Ubiquitous Computing are becoming more and more popular in the IT world. There are increasingly more heterogeneous systems of interconnected devices, from general purpose smartphones to highly specialized embedded devices. An important constraint of mobile devices is the limited battery capacity. Users will stop using devices that have to be recharged frequently and that are not reliable. For both small sensors and mobile devices a significant energy is consumed with data communication. We develop a system, consisting of a smartphone and an embedded device designed to measure air quality. This paper presents an Adaptive Query Algorithm that can improve the energy consumption for Bluetooth data transfers between the smartphone and the embedded device. Our tests show that considerate querying can lead to power consumption 20 times smaller than in the case of a permanent connection.</description><subject>Adaptive algorithms</subject><subject>Bluetooth</subject><subject>communication</subject><subject>Energy consumption</subject><subject>location oriented</subject><subject>Pollution</subject><subject>power consumption</subject><subject>Power demand</subject><subject>Sensors</subject><subject>Smart phones</subject><subject>smartphones</subject><issn>2068-1038</issn><isbn>1467361143</isbn><isbn>9781467361149</isbn><isbn>9781467361163</isbn><isbn>146736116X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j9tKw0AYhFdUsNY8gQj7Aqn_v-fgVSmtCkVB9Lps9qAraROTrdC3N9A6NzPzXQwMIXcIM0So7t_apd-_hDxjgHymJKJm8owUlTYolOYKUfFzcv1fBL8gEwbKlAjcXJFiGL5hlAHQWk_Iw9zbLqffQH_2oT9Q23y2fcpfWxrbnjatszm1OzqysMvBU9t1TTrC4YZcRtsMoTj5lHyslu-Lp3L9-vi8mK_LhFrm0lRWga85WOA1QDCeozBc1tLWTMVKwZggOkTHBDjnotBWCs_qqK0b70zJ7XE3hRA2XZ-2tj9sTt_5H356TQ0</recordid><startdate>201301</startdate><enddate>201301</enddate><creator>Rizea, Daniel-Octavian</creator><creator>Tudose, D.</creator><creator>Olteanu, A.</creator><creator>Tapus, N.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201301</creationdate><title>Adaptive query algorithm for location oriented applications</title><author>Rizea, Daniel-Octavian ; Tudose, D. ; Olteanu, A. ; Tapus, N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-89a60db30a03b00e8d314835b5ab26f960b5a0fc11c240cccf47a54d2bf7ac163</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adaptive algorithms</topic><topic>Bluetooth</topic><topic>communication</topic><topic>Energy consumption</topic><topic>location oriented</topic><topic>Pollution</topic><topic>power consumption</topic><topic>Power demand</topic><topic>Sensors</topic><topic>Smart phones</topic><topic>smartphones</topic><toplevel>online_resources</toplevel><creatorcontrib>Rizea, Daniel-Octavian</creatorcontrib><creatorcontrib>Tudose, D.</creatorcontrib><creatorcontrib>Olteanu, A.</creatorcontrib><creatorcontrib>Tapus, N.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rizea, Daniel-Octavian</au><au>Tudose, D.</au><au>Olteanu, A.</au><au>Tapus, N.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Adaptive query algorithm for location oriented applications</atitle><btitle>2013 11th RoEduNet International Conference</btitle><stitle>RoEduNet</stitle><date>2013-01</date><risdate>2013</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><issn>2068-1038</issn><isbn>1467361143</isbn><isbn>9781467361149</isbn><eisbn>9781467361163</eisbn><eisbn>146736116X</eisbn><abstract>The Internet of Things and Ubiquitous Computing are becoming more and more popular in the IT world. There are increasingly more heterogeneous systems of interconnected devices, from general purpose smartphones to highly specialized embedded devices. An important constraint of mobile devices is the limited battery capacity. Users will stop using devices that have to be recharged frequently and that are not reliable. For both small sensors and mobile devices a significant energy is consumed with data communication. We develop a system, consisting of a smartphone and an embedded device designed to measure air quality. This paper presents an Adaptive Query Algorithm that can improve the energy consumption for Bluetooth data transfers between the smartphone and the embedded device. Our tests show that considerate querying can lead to power consumption 20 times smaller than in the case of a permanent connection.</abstract><pub>IEEE</pub><doi>10.1109/RoEduNet.2013.6511725</doi><tpages>5</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 2068-1038 |
ispartof | 2013 11th RoEduNet International Conference, 2013, p.1-5 |
issn | 2068-1038 |
language | eng |
recordid | cdi_ieee_primary_6511725 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Adaptive algorithms Bluetooth communication Energy consumption location oriented Pollution power consumption Power demand Sensors Smart phones smartphones |
title | Adaptive query algorithm for location oriented applications |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-18T08%3A07%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Adaptive%20query%20algorithm%20for%20location%20oriented%20applications&rft.btitle=2013%2011th%20RoEduNet%20International%20Conference&rft.au=Rizea,%20Daniel-Octavian&rft.date=2013-01&rft.spage=1&rft.epage=5&rft.pages=1-5&rft.issn=2068-1038&rft.isbn=1467361143&rft.isbn_list=9781467361149&rft_id=info:doi/10.1109/RoEduNet.2013.6511725&rft_dat=%3Cieee_6IE%3E6511725%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781467361163&rft.eisbn_list=146736116X&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6511725&rfr_iscdi=true |