{"id":"https://openalex.org/W2153133982","doi":"https://doi.org/10.1109/isit.2009.5206022","title":"Estimation of the distribution of randomly deployed wireless sensors","display_name":"Estimation of the distribution of randomly deployed wireless sensors","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2153133982","doi":"https://doi.org/10.1109/isit.2009.5206022","mag":"2153133982"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2009.5206022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2009.5206022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"},"type":"conference-paper","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/A5110257810","display_name":"Babar H. Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Babar H. Khan","raw_affiliation_strings":["Department of Electrical Engineering, King Fahd University of Petroleum & Minerals, Dhahran, K.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, King Fahd University of Petroleum & Minerals, Dhahran, K.S.A","institution_ids":["https://openalex.org/I134085113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056145687","display_name":"M\u00e9rouane Debbah","orcid":"https://orcid.org/0000-0001-8941-8080"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Merouane Debbah","raw_affiliation_strings":["Alcatel-Lucent Chair, Supelec, Gif sur Yvette, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alcatel-Lucent Chair, Supelec, Gif sur Yvette, France","institution_ids":["https://openalex.org/I102475099"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006855775","display_name":"\u00d8yvind Ryan","orcid":"https://orcid.org/0000-0003-3135-9916"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Oyvind Ryan","raw_affiliation_strings":["Centre of Mathematics for Applications, University of Oslo, Oslo, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre of Mathematics for Applications, University of Oslo, Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066119580","display_name":"Tareq Y. Al-Naffouri","orcid":"https://orcid.org/0000-0001-6955-4720"},"institutions":[{"id":"https://openalex.org/I134085113","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163","country_code":"SA","type":"education","lineage":["https://openalex.org/I134085113"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Tareq Y. Al-Naffouri","raw_affiliation_strings":["Department of Electrical Engineering, King Fahd University of Petroleum & Minerals, Dhahran, K.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, King Fahd University of Petroleum & Minerals, Dhahran, K.S.A","institution_ids":["https://openalex.org/I134085113"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"b39c","issue":null,"first_page":"2413","last_page":"2417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9983999729156494,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9957000017166138,"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/vandermonde-matrix","display_name":"Vandermonde matrix","score":0.9260309934616089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.610727846622467},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.5982383489608765},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5815091729164124},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.49333372712135315},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4380249083042145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4227983355522156},{"id":"https://openalex.org/keywords/method-of-moments","display_name":"Method of moments (probability theory)","score":0.41167736053466797},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.317325234413147},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24630296230316162},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1546059250831604},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14455389976501465},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1012592613697052}],"concepts":[{"id":"https://openalex.org/C55294529","wikidata":"https://www.wikidata.org/wiki/Q579544","display_name":"Vandermonde matrix","level":3,"score":0.9260309934616089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.610727846622467},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.5982383489608765},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5815091729164124},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.49333372712135315},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4380249083042145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4227983355522156},{"id":"https://openalex.org/C2780033567","wikidata":"https://www.wikidata.org/wiki/Q6823720","display_name":"Method of moments (probability theory)","level":3,"score":0.41167736053466797},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.317325234413147},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24630296230316162},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1546059250831604},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14455389976501465},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1012592613697052},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isit.2009.5206022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2009.5206022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Symposium on Information Theory","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.519.4587","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.519.4587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.supelec.fr/d2ri/flexibleradio/pub/Conferences2009/C0912.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W76426102","https://openalex.org/W94950348","https://openalex.org/W1483340443","https://openalex.org/W2071467620","https://openalex.org/W2094607534","https://openalex.org/W2116675553","https://openalex.org/W2131152141","https://openalex.org/W2135355720","https://openalex.org/W2150976716","https://openalex.org/W2165221495","https://openalex.org/W2169561902","https://openalex.org/W2952052090","https://openalex.org/W6603161191"],"related_works":["https://openalex.org/W2394313973","https://openalex.org/W1258664604","https://openalex.org/W4285223790","https://openalex.org/W2952052090","https://openalex.org/W4293585078","https://openalex.org/W2389636997","https://openalex.org/W2349018871","https://openalex.org/W2135355720","https://openalex.org/W2080915594","https://openalex.org/W2383889139"],"abstract_inverted_index":{"The":[0],"distribution":[1,30,78],"of":[2,14,28,31,42,66,79,98],"randomly":[3,32,81],"deployed":[4,33,82],"wireless":[5],"sensors":[6,34,99],"plays":[7],"an":[8],"important":[9],"role":[10],"in":[11,60,89],"the":[12,15,26,29,40,53,63,67,77,80,85,90],"quality":[13],"methods":[16],"used":[17],"for":[18],"data":[19],"acquisition":[20],"and":[21,72,100],"signal":[22],"reconstruction.":[23],"Mathematically":[24],"speaking,":[25],"estimation":[27],"can":[35],"be":[36],"related":[37],"to":[38,58,76],"computing":[39],"spectrum":[41],"Vandermonde":[43,70],"matrices":[44,71],"with":[45],"non-uniform":[46],"entries.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51],"use":[52],"recent":[54],"free":[55],"deconvolution":[56],"framework":[57],"recover,":[59],"noisy":[61],"environments,":[62],"asymptotic":[64],"moments":[65,75],"structured":[68],"random":[69],"relate":[73],"these":[74],"sensors.":[83],"Remarkably,":[84],"results":[86],"are":[87],"valid":[88],"finite":[91],"case":[92],"using":[93],"only":[94],"a":[95],"limited":[96],"number":[97],"samples.":[101]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
