{"id":"https://openalex.org/W2608009372","doi":"https://doi.org/10.1109/access.2017.2696745","title":"Unbalanced Expander Based Compressive Data Gathering in Clustered Wireless Sensor Networks","display_name":"Unbalanced Expander Based Compressive Data Gathering in Clustered Wireless Sensor Networks","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2608009372","doi":"https://doi.org/10.1109/access.2017.2696745","mag":"2608009372"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2696745","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2696745","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2696745","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101791886","display_name":"Xiangling Li","orcid":"https://orcid.org/0000-0003-2379-9161"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangling Li","raw_affiliation_strings":["National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2379-9161","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624765","display_name":"Xiaofeng Tao","orcid":"https://orcid.org/0000-0001-9518-1622"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Tao","raw_affiliation_strings":["National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Mobile Network Technologies, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036000787","display_name":"Guoqiang Mao","orcid":"https://orcid.org/0000-0002-3598-4949"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guoqiang Mao","raw_affiliation_strings":["School of Computing and Communications, University of Technology Sydney and National ICT Australia, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Communications, University of Technology Sydney and National ICT Australia, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466","https://openalex.org/I42894916"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.6067,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.95550992,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"5","issue":null,"first_page":"7553","last_page":"7566"},"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":0.9995999932289124,"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":0.9976000189781189,"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/adjacency-matrix","display_name":"Adjacency matrix","score":0.8162674307823181},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.8035275936126709},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6805711984634399},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6717954874038696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6280298233032227},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5384277105331421},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5260082483291626},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4681651294231415},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.43961861729621887},{"id":"https://openalex.org/keywords/distance-matrix","display_name":"Distance matrix","score":0.43170610070228577},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3995814621448517},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27059465646743774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22623741626739502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15904921293258667},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09028825163841248},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07090696692466736}],"concepts":[{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.8162674307823181},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8035275936126709},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6805711984634399},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6717954874038696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6280298233032227},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5384277105331421},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5260082483291626},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4681651294231415},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.43961861729621887},{"id":"https://openalex.org/C111208986","wikidata":"https://www.wikidata.org/wiki/Q901698","display_name":"Distance matrix","level":2,"score":0.43170610070228577},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3995814621448517},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27059465646743774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22623741626739502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15904921293258667},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09028825163841248},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07090696692466736},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2017.2696745","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2696745","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:24ff1e7be2f54b13a7bfeec37a7d7a50","is_oa":true,"landing_page_url":"https://doaj.org/article/24ff1e7be2f54b13a7bfeec37a7d7a50","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 5, Pp 7553-7566 (2017)","raw_type":"article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/124295","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/124295","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2696745","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2696745","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[{"id":"https://openalex.org/G3730135242","display_name":null,"funder_award_id":"61461136002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7780155995","display_name":null,"funder_award_id":"61325006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W630423399","https://openalex.org/W1578099820","https://openalex.org/W1620362451","https://openalex.org/W1765848015","https://openalex.org/W1918250237","https://openalex.org/W1986931325","https://openalex.org/W1988569331","https://openalex.org/W2006805041","https://openalex.org/W2030449718","https://openalex.org/W2034260606","https://openalex.org/W2038335101","https://openalex.org/W2047064261","https://openalex.org/W2071284784","https://openalex.org/W2073249669","https://openalex.org/W2077022807","https://openalex.org/W2077318038","https://openalex.org/W2081065314","https://openalex.org/W2083920010","https://openalex.org/W2088087163","https://openalex.org/W2097236893","https://openalex.org/W2106335692","https://openalex.org/W2118334408","https://openalex.org/W2119667497","https://openalex.org/W2119892157","https://openalex.org/W2123241700","https://openalex.org/W2128633079","https://openalex.org/W2130304157","https://openalex.org/W2136235822","https://openalex.org/W2138181505","https://openalex.org/W2139151158","https://openalex.org/W2155492251","https://openalex.org/W2160822433","https://openalex.org/W2165742939","https://openalex.org/W2167630507","https://openalex.org/W2168358956","https://openalex.org/W2170447857","https://openalex.org/W2296616510","https://openalex.org/W2315395910","https://openalex.org/W2472212337","https://openalex.org/W3105340263","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W4213150077","https://openalex.org/W2369410163","https://openalex.org/W2059018062","https://openalex.org/W2604585036","https://openalex.org/W2078477160","https://openalex.org/W1989103179","https://openalex.org/W1991172810","https://openalex.org/W125803343","https://openalex.org/W2117632582","https://openalex.org/W1838067064"],"abstract_inverted_index":{"Conventional":[0],"compressive":[1,15],"sensing-based":[2],"data":[3],"gathering":[4],"(CS-DG)":[5],"algorithms":[6,152],"require":[7],"a":[8,36,67,101],"large":[9],"number":[10],"of":[11,47,51,66,100,155],"sensors":[12],"for":[13,123],"each":[14,61],"sensing":[16,94],"measurement,":[17],"thereby":[18],"resulting":[19],"in":[20,24,153],"high":[21],"energy":[22,159,180],"consumption":[23],"clustered":[25],"wireless":[26],"sensor":[27],"networks":[28],"(WSNs).":[29],"To":[30],"solve":[31],"this":[32],"problem,":[33],"we":[34,84],"propose":[35],"novel":[37],"energy-efficient":[38,163],"CS-DG":[39,59,146,177],"algorithm,":[40,60],"which":[41,71],"exploits":[42],"the":[43,48,57,64,87,97,171],"better":[44,148],"reconstruction":[45,156,173],"accuracy":[46,157],"adjacency":[49,98],"matrix":[50,95,99],"an":[52],"unbalanced":[53,104],"expander":[54,105],"graph.":[55],"In":[56],"proposed":[58,145,176],"measurement":[62],"is":[63,96,167],"sum":[65],"few":[68],"sensory":[69],"data,":[70],"are":[72],"jointly":[73],"determined":[74],"by":[75,181],"random":[76,79],"sampling":[77],"and":[78,114,134,158],"walks.":[80],"Through":[81],"theoretical":[82],"analysis,":[83],"prove":[85],"that":[86],"constructed":[88],"M":[89,108],"\u00d7":[90],"N":[91,135],"sparse":[92],"binary":[93],"(k,":[102],"\u03b5)":[103],"graph":[106],"when":[107],"=":[109,116],"O":[110,117],"(k":[111],"log":[112],"N/k)":[113],"t":[115],"(N":[118],"<sub":[119,136],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[120,137],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">c</sub>":[121,138],"/(kq))":[122],"WSNs":[124],"with":[125],"Nc":[126],"clusters,":[127],"where":[128],"0":[129],"\u2264":[130,132],"q":[131],"1":[133],">":[139],"k.":[140],"Simulation":[141],"results":[142],"show":[143],"our":[144,175],"has":[147],"performance":[149],"than":[150],"existing":[151],"terms":[154],"consumption.":[160],"When":[161],"hybrid":[162],"distributed":[164],"clustering":[165],"algorithm":[166],"used,":[168],"to":[169],"achieve":[170],"same":[172],"accuracy,":[174],"can":[178],"save":[179],"at":[182],"least":[183],"27.8%.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
