{"id":"https://openalex.org/W1980773789","doi":"https://doi.org/10.1109/percomw.2013.6529546","title":"SPOTLESS: Similarity patterns of trajectories in label-less sensor streams","display_name":"SPOTLESS: Similarity patterns of trajectories in label-less sensor streams","publication_year":2013,"publication_date":"2013-03-01","ids":{"openalex":"https://openalex.org/W1980773789","doi":"https://doi.org/10.1109/percomw.2013.6529546","mag":"1980773789"},"language":"en","primary_location":{"id":"doi:10.1109/percomw.2013.6529546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2013.6529546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022570209","display_name":"Vasanth Iyer","orcid":"https://orcid.org/0000-0002-1909-4276"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]},{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vasanth Iyer","raw_affiliation_strings":["School of Computing and Information Sciences, Florida International University, Miami, FL, USA","[Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL, USA]"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"[Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL, USA]","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102765260","display_name":"S. S. Iyengar","orcid":"https://orcid.org/0000-0003-3203-833X"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]},{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Sitharama Iyengar","raw_affiliation_strings":["School of Computing and Information Sciences, Florida International University, Miami, FL, USA","[Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL, USA]"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"[Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL, USA]","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111906965","display_name":"Niki Pissinou","orcid":null},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]},{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Niki Pissinou","raw_affiliation_strings":["School of Computing and Information Sciences, Florida International University, Miami, FL, USA","[Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL, USA]"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"[Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL, USA]","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000834239","display_name":"Shaolei Ren","orcid":"https://orcid.org/0000-0001-9003-4324"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]},{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaolei Ren","raw_affiliation_strings":["School of Computing and Information Sciences, Florida International University, Miami, FL, USA","[Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL, USA]"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"[Sch. of Comput. & Inf. Sci., Florida Int. Univ., Miami, FL, USA]","institution_ids":["https://openalex.org/I145608581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022570209"],"corresponding_institution_ids":["https://openalex.org/I145608581","https://openalex.org/I19700959"],"apc_list":null,"apc_paid":null,"fwci":1.131,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79920756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"487","last_page":"492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11158","display_name":"Wireless Networks and Protocols","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8320333957672119},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.6185441613197327},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6029176115989685},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.48935455083847046},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.4664174020290375},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4657355844974518},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.43297722935676575},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3190919756889343},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3126484751701355},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22128742933273315}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8320333957672119},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6185441613197327},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6029176115989685},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.48935455083847046},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.4664174020290375},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4657355844974518},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.43297722935676575},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3190919756889343},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3126484751701355},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22128742933273315}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/percomw.2013.6529546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2013.6529546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1008.7338","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1008.7338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.cis.fiu.edu/%7Eiyengar/publication/C-%282013%29%20-%20SPOTLESS%20Similarity%20Patterns%20Of%20Trajectories%20in%20Label-lEss%20Sensor%20Streams%20-%20%5BIEEE-PERCOM%5D.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W399810592","https://openalex.org/W1970571562","https://openalex.org/W2053376180","https://openalex.org/W2121132553","https://openalex.org/W2160569988","https://openalex.org/W2552670099","https://openalex.org/W6683303121","https://openalex.org/W6729483771"],"related_works":["https://openalex.org/W2161474341","https://openalex.org/W4302615923","https://openalex.org/W1974101135","https://openalex.org/W3203142394","https://openalex.org/W2351061015","https://openalex.org/W2017509870","https://openalex.org/W4220731478","https://openalex.org/W2542937328","https://openalex.org/W3199712142","https://openalex.org/W2134402536"],"abstract_inverted_index":{"The":[0,63],"process":[1],"of":[2,7,23,57,77,93,162,191,220],"inversion,":[3],"estimation":[4],"and":[5,16,18,60,74,152,169,196,215],"reconstruction":[6],"the":[8,14,21,24,27,50,58,71,94,143,177,189,217],"sensor":[9,28,96,164,178],"quality":[10,92],"matrix,":[11],"allows":[12],"modeling":[13],"precision":[15,106,195,211],"accuracy,":[17],"in":[19,188],"general":[20],"reliability":[22],"model.":[25],"When":[26],"data":[29,43,97,167,175],"ranges":[30],"are":[31,157],"not":[32,39],"known":[33],"a":[34,90,127,193],"priori,":[35],"current":[36],"systems":[37],"do":[38],"train":[40],"on":[41,49],"new":[42],"samples,":[44],"rather":[45],"they":[46],"approximate":[47],"based":[48,129],"parameter's":[51],"global":[52],"average":[53],"value,":[54],"losing":[55],"most":[56],"spatial":[59,72],"temporal":[61,75,174],"features.":[62],"proposed":[64],"model,":[65],"which":[66],"we":[67],"call":[68],"SPOTLESS,":[69],"checks":[70],"integrity":[73],"plausibility":[76],"streams":[78,168,223],"generated":[79],"by":[80,107,224],"mobility":[81],"patterns":[82],"due":[83,122],"to":[84,103,117,123,179],"varying":[85,124],"channel":[86,125],"conditions.":[87],"We":[88],"define":[89],"minimum":[91,194],"measured":[95],"as":[98],"local":[99],"stream":[100,198],"(QoD)":[101,199],"requirements":[102],"give":[104],"high":[105],"using":[108],"distributed":[109],"labeled":[110],"training.":[111],"In":[112],"our":[113],"SPOTLESS":[114,205],"datacleaning":[115],"steps,":[116],"account":[118],"for":[119,133,148,201,212,226],"packet":[120,140],"errors":[121],"conditions,":[126],"soft-phy":[128],"decoding":[130],"is":[131],"selected":[132],"various":[134],"Bit":[135],"Error":[136],"Rates":[137],"(BER),":[138],"minimizing":[139],"loss":[141],"at":[142],"mobile":[144,153,203,222],"receiver.":[145],"Numerical":[146],"experiments":[147],"Rayleigh":[149],"fading":[150],"channels":[151],"BER":[154],"model":[155],"examples":[156],"compared":[158],"with":[159],"large":[160],"deployment":[161],"ground":[163],"collecting":[165,172],"static":[166,213],"Data":[170],"MULE":[171],"multi-hop":[173,221],"from":[176],"provide":[180],"hypothetical":[181],"parameter":[182],"accuracy.":[183],"Our":[184],"results":[185],"were":[186],"obtained":[187],"context":[190],"provisioning":[192],"accuracy":[197],"required":[200],"802.15.4":[202],"services.":[204],"data-cleaning":[206],"algorithm":[207],"coding":[208],"provides":[209],"90%":[210],"streams,":[214],"increases":[216],"plausible":[218],"relevance":[219],"85%":[225],"task-based":[227],"learning.":[228]},"counts_by_year":[{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
