{"id":"https://openalex.org/W2120939597","doi":"https://doi.org/10.1109/isccsp.2012.6217784","title":"A Compressive Sampling data gathering approach for Wireless Sensor Networks using a sparse acquisition matrix with abnormal values","display_name":"A Compressive Sampling data gathering approach for Wireless Sensor Networks using a sparse acquisition matrix with abnormal values","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2120939597","doi":"https://doi.org/10.1109/isccsp.2012.6217784","mag":"2120939597"},"language":"en","primary_location":{"id":"doi:10.1109/isccsp.2012.6217784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isccsp.2012.6217784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Symposium on Communications, Control and Signal Processing","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/A5026258680","display_name":"Andrea Abrardo","orcid":"https://orcid.org/0000-0002-8006-0710"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"A. Abrardo","raw_affiliation_strings":["Dipartimento di Ingegneria dellInformazione, Universit\u00e0 degli Studi di Siena, Italy","Dipartimento di Ingegneria dell\u2019Informazione - Universit\u00e0 degli Studi di Siena"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria dellInformazione, Universit\u00e0 degli Studi di Siena, Italy","institution_ids":["https://openalex.org/I102064193"]},{"raw_affiliation_string":"Dipartimento di Ingegneria dell\u2019Informazione - Universit\u00e0 degli Studi di Siena","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086259717","display_name":"Cesare Maria Carretti","orcid":null},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"C. M. Carretti","raw_affiliation_strings":["Dipartimento di Ingegneria dellInformazione, Universit\u00e0 degli Studi di Siena, Italy","Dipartimento di Ingegneria dell\u2019Informazione - Universit\u00e0 degli Studi di Siena"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria dellInformazione, Universit\u00e0 degli Studi di Siena, Italy","institution_ids":["https://openalex.org/I102064193"]},{"raw_affiliation_string":"Dipartimento di Ingegneria dell\u2019Informazione - Universit\u00e0 degli Studi di Siena","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110300012","display_name":"A. Mecocci","orcid":null},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. Mecocci","raw_affiliation_strings":["Dipartimento di Ingegneria dellInformazione, Universit\u00e0 degli Studi di Siena, Italy","Dipartimento di Ingegneria dell\u2019Informazione - Universit\u00e0 degli Studi di Siena"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Ingegneria dellInformazione, Universit\u00e0 degli Studi di Siena, Italy","institution_ids":["https://openalex.org/I102064193"]},{"raw_affiliation_string":"Dipartimento di Ingegneria dell\u2019Informazione - Universit\u00e0 degli Studi di Siena","institution_ids":["https://openalex.org/I102064193"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026258680"],"corresponding_institution_ids":["https://openalex.org/I102064193"],"apc_list":null,"apc_paid":null,"fwci":0.3429,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63757989,"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":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7161410450935364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6499002575874329},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5993582606315613},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.5449815988540649},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5395639538764954},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4876319468021393},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4801216125488281},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.44931405782699585},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.4469010829925537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24348744750022888},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.21312516927719116},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1916339099407196},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16409441828727722},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14227411150932312},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11708778142929077},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.10030370950698853},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0724698007106781}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7161410450935364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6499002575874329},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5993582606315613},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.5449815988540649},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5395639538764954},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4876319468021393},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4801216125488281},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.44931405782699585},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.4469010829925537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24348744750022888},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.21312516927719116},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1916339099407196},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16409441828727722},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14227411150932312},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11708778142929077},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.10030370950698853},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0724698007106781},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isccsp.2012.6217784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isccsp.2012.6217784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Symposium on Communications, Control and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:usiena-air.unisi.it:11365/48131","is_oa":false,"landing_page_url":"http://hdl.handle.net/11365/48131","pdf_url":null,"source":{"id":"https://openalex.org/S4377196319","display_name":"Use Siena air (University of Siena)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102064193","host_organization_name":"University of Siena","host_organization_lineage":["https://openalex.org/I102064193"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W94196463","https://openalex.org/W1516946235","https://openalex.org/W1985949400","https://openalex.org/W2006262236","https://openalex.org/W2115166029","https://openalex.org/W2119667497","https://openalex.org/W2123241700","https://openalex.org/W2128633079","https://openalex.org/W2129638195","https://openalex.org/W2145096794","https://openalex.org/W2160094592","https://openalex.org/W2296616510","https://openalex.org/W4250955649","https://openalex.org/W6630961425"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W2110485207","https://openalex.org/W2737338842","https://openalex.org/W3005946484"],"abstract_inverted_index":{"Application":[0],"of":[1],"Compressive":[2],"Sampling":[3],"(CS)":[4],"to":[5,19,33,114,120,129],"Wireless":[6],"Sensor":[7],"Networks":[8],"(WSNs),":[9],"is":[10],"a":[11,22,27,35,63,81,86,106,116],"very":[12],"promising":[13],"field.":[14],"In":[15],"particular,":[16],"CS":[17,61,82],"allows":[18],"exactly":[20],"reconstruct":[21],"sparse":[23,58,87],"signal":[24],"using":[25],"only":[26,56,92],"few":[28],"measurements.":[29],"Hence,":[30],"it":[31],"promises":[32],"represent":[34],"viable":[36],"solution":[37],"for":[38],"reducing":[39],"data":[40,125],"exchange":[41],"in":[42,70,102],"WSNs,":[43],"thus":[44,133],"prolonging":[45],"the":[46,50,103,109,124,136],"network":[47,104],"lifetime.":[48],"On":[49],"other":[51],"hand,":[52],"natural":[53],"signals":[54],"are":[55],"approximately":[57],"and,":[59],"hence,":[60],"entails":[62],"reconstruction":[64,137],"error,":[65],"which":[66],"limits":[67],"its":[68],"applicability":[69],"many":[71],"situations.":[72],"To":[73],"cope":[74],"with":[75],"this":[76],"impairment,":[77],"we":[78,112],"first":[79],"consider":[80],"scheme":[83,119],"based":[84],"on":[85],"acquisition":[88],"matrix,":[89],"so":[90],"that":[91],"M":[93],"over":[94],"N":[95],"(M":[96],"\u226a":[97],"N)":[98],"randomly":[99],"chosen":[100],"nodes":[101],"send":[105],"packet":[107],"towards":[108],"sink.":[110],"Then,":[111],"propose":[113],"use":[115],"distributed":[117],"estimation":[118],"locally":[121],"detect":[122],"whether":[123],"must":[126],"be":[127],"forced":[128],"transmit":[130],"or":[131],"not,":[132],"highly":[134],"improving":[135],"quality.":[138]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
