Mobile sensing systems.
Identifieur interne : 000221 ( PubMed/Corpus ); précédent : 000220; suivant : 000222Mobile sensing systems.
Auteurs : Elsa Macias ; Alvaro Suarez ; Jaime LloretSource :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2013.
Abstract
Rich-sensor smart phones have made possible the recent birth of the mobile sensing research area as part of ubiquitous sensing which integrates other areas such as wireless sensor networks and web sensing. There are several types of mobile sensing: individual, participatory, opportunistic, crowd, social, etc. The object of sensing can be people-centered or environment-centered. The sensing domain can be home, urban, vehicular… Currently there are barriers that limit the social acceptance of mobile sensing systems. Examples of social barriers are privacy concerns, restrictive laws in some countries and the absence of economic incentives that might encourage people to participate in a sensing campaign. Several technical barriers are phone energy savings and the variety of sensors and software for their management. Some existing surveys partially tackle the topic of mobile sensing systems. Published papers theoretically or partially solve the above barriers. We complete the above surveys with new works, review the barriers of mobile sensing systems and propose some ideas for efficiently implementing sensing, fusion, learning, security, privacy and energy saving for any type of mobile sensing system, and propose several realistic research challenges. The main objective is to reduce the learning curve in mobile sensing systems where the complexity is very high.
DOI: 10.3390/s131217292
PubMed: 24351637
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Mobile sensing systems.</title><author><name sortKey="Macias, Elsa" sort="Macias, Elsa" uniqKey="Macias E" first="Elsa" last="Macias">Elsa Macias</name><affiliation><nlm:affiliation>Grupo de Arquitectura y Concurrencia (GAC), Departamento de Ingeniería Telemática, Universidad de Las Palmas de Gran Canaria, Campus Universitario de Tafira, Las Palmas de Gran Canaria (Gran Canaria) 35017, Spain. elsa.macias@gmail.com.</nlm:affiliation></affiliation></author><author><name sortKey="Suarez, Alvaro" sort="Suarez, Alvaro" uniqKey="Suarez A" first="Alvaro" last="Suarez">Alvaro Suarez</name></author><author><name sortKey="Lloret, Jaime" sort="Lloret, Jaime" uniqKey="Lloret J" first="Jaime" last="Lloret">Jaime Lloret</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2013">2013</date><idno type="doi">10.3390/s131217292</idno><idno type="RBID">pubmed:24351637</idno><idno type="pmid">24351637</idno><idno type="wicri:Area/PubMed/Corpus">000221</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000221</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Mobile sensing systems.</title><author><name sortKey="Macias, Elsa" sort="Macias, Elsa" uniqKey="Macias E" first="Elsa" last="Macias">Elsa Macias</name><affiliation><nlm:affiliation>Grupo de Arquitectura y Concurrencia (GAC), Departamento de Ingeniería Telemática, Universidad de Las Palmas de Gran Canaria, Campus Universitario de Tafira, Las Palmas de Gran Canaria (Gran Canaria) 35017, Spain. elsa.macias@gmail.com.</nlm:affiliation></affiliation></author><author><name sortKey="Suarez, Alvaro" sort="Suarez, Alvaro" uniqKey="Suarez A" first="Alvaro" last="Suarez">Alvaro Suarez</name></author><author><name sortKey="Lloret, Jaime" sort="Lloret, Jaime" uniqKey="Lloret J" first="Jaime" last="Lloret">Jaime Lloret</name></author></analytic><series><title level="j">Sensors (Basel, Switzerland)</title><idno type="eISSN">1424-8220</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Rich-sensor smart phones have made possible the recent birth of the mobile sensing research area as part of ubiquitous sensing which integrates other areas such as wireless sensor networks and web sensing. There are several types of mobile sensing: individual, participatory, opportunistic, crowd, social, etc. The object of sensing can be people-centered or environment-centered. The sensing domain can be home, urban, vehicular… Currently there are barriers that limit the social acceptance of mobile sensing systems. Examples of social barriers are privacy concerns, restrictive laws in some countries and the absence of economic incentives that might encourage people to participate in a sensing campaign. Several technical barriers are phone energy savings and the variety of sensors and software for their management. Some existing surveys partially tackle the topic of mobile sensing systems. Published papers theoretically or partially solve the above barriers. We complete the above surveys with new works, review the barriers of mobile sensing systems and propose some ideas for efficiently implementing sensing, fusion, learning, security, privacy and energy saving for any type of mobile sensing system, and propose several realistic research challenges. The main objective is to reduce the learning curve in mobile sensing systems where the complexity is very high.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="PubMed-not-MEDLINE"><PMID Version="1">24351637</PMID><DateCreated><Year>2013</Year><Month>12</Month><Day>19</Day></DateCreated><DateCompleted><Year>2014</Year><Month>06</Month><Day>27</Day></DateCompleted><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1424-8220</ISSN><JournalIssue CitedMedium="Internet"><Volume>13</Volume><Issue>12</Issue><PubDate><Year>2013</Year></PubDate></JournalIssue><Title>Sensors (Basel, Switzerland)</Title><ISOAbbreviation>Sensors (Basel)</ISOAbbreviation></Journal><ArticleTitle>Mobile sensing systems.</ArticleTitle><Pagination><MedlinePgn>17292-321</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3390/s131217292</ELocationID><Abstract><AbstractText>Rich-sensor smart phones have made possible the recent birth of the mobile sensing research area as part of ubiquitous sensing which integrates other areas such as wireless sensor networks and web sensing. There are several types of mobile sensing: individual, participatory, opportunistic, crowd, social, etc. The object of sensing can be people-centered or environment-centered. The sensing domain can be home, urban, vehicular… Currently there are barriers that limit the social acceptance of mobile sensing systems. Examples of social barriers are privacy concerns, restrictive laws in some countries and the absence of economic incentives that might encourage people to participate in a sensing campaign. Several technical barriers are phone energy savings and the variety of sensors and software for their management. Some existing surveys partially tackle the topic of mobile sensing systems. Published papers theoretically or partially solve the above barriers. We complete the above surveys with new works, review the barriers of mobile sensing systems and propose some ideas for efficiently implementing sensing, fusion, learning, security, privacy and energy saving for any type of mobile sensing system, and propose several realistic research challenges. The main objective is to reduce the learning curve in mobile sensing systems where the complexity is very high.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Macias</LastName><ForeName>Elsa</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>Grupo de Arquitectura y Concurrencia (GAC), Departamento de Ingeniería Telemática, Universidad de Las Palmas de Gran Canaria, Campus Universitario de Tafira, Las Palmas de Gran Canaria (Gran Canaria) 35017, Spain. elsa.macias@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Suarez</LastName><ForeName>Alvaro</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Lloret</LastName><ForeName>Jaime</ForeName><Initials>J</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>12</Month><Day>16</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Sensors (Basel)</MedlineTA><NlmUniqueID>101204366</NlmUniqueID><ISSNLinking>1424-8220</ISSNLinking></MedlineJournalInfo><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Sensors (Basel). 2011;11(6):6037-55</RefSource><PMID Version="1">22163941</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Sensors (Basel). 2012;12(2):2062-87</RefSource><PMID Version="1">22438753</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Sensors (Basel). 2012;12(2):1688-701</RefSource><PMID Version="1">22438732</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Med Syst. 2012 Feb;36(1):93-101</RefSource><PMID Version="1">20703745</PMID></CommentsCorrections></CommentsCorrectionsList><OtherID Source="NLM">PMC3892889</OtherID></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year><Month>11</Month><Day>05</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2013</Year><Month>12</Month><Day>02</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2013</Year><Month>12</Month><Day>13</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>12</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2013</Year><Month>12</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2013</Year><Month>12</Month><Day>20</Day><Hour>6</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pii">s131217292</ArticleId><ArticleId IdType="doi">10.3390/s131217292</ArticleId><ArticleId IdType="pubmed">24351637</ArticleId><ArticleId IdType="pmc">PMC3892889</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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