{"id":"https://openalex.org/W2189068596","doi":"https://doi.org/10.1109/pimrc.2015.7343634","title":"Autoregressive model based data gathering algorithm for wireless sensor networks with compressive sensing","display_name":"Autoregressive model based data gathering algorithm for wireless sensor networks with compressive sensing","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2189068596","doi":"https://doi.org/10.1109/pimrc.2015.7343634","mag":"2189068596"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc.2015.7343634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2015.7343634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","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/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":true,"raw_author_name":"Xiangling Li","raw_affiliation_strings":["National Engineering Laboratory for Mobile Network Secutrity, Beijing University of Post and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Mobile Network Secutrity, Beijing University of Post 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 Secutrity, Beijing University of Post and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Mobile Network Secutrity, Beijing University of Post and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102764235","display_name":"Yinjun Liu","orcid":"https://orcid.org/0000-0001-8275-8912"},"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":"Yinjun Liu","raw_affiliation_strings":["National Engineering Laboratory for Mobile Network Secutrity, Beijing University of Post and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Mobile Network Secutrity, Beijing University of Post and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018587643","display_name":"Qimei Cui","orcid":"https://orcid.org/0000-0003-1720-220X"},"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":"Qimei Cui","raw_affiliation_strings":["National Engineering Laboratory for Mobile Network Secutrity, Beijing University of Post and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Mobile Network Secutrity, Beijing University of Post and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101791886"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.3249,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61863558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"pp","issue":null,"first_page":"2044","last_page":"2048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.8262559771537781},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.8110077381134033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6527681350708008},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6379533410072327},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5460690259933472},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4562155306339264},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.44389963150024414},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.4247477352619171},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3580906391143799},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18366438150405884},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11470356583595276},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07569310069084167}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.8262559771537781},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8110077381134033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6527681350708008},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6379533410072327},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5460690259933472},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4562155306339264},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.44389963150024414},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4247477352619171},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3580906391143799},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18366438150405884},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11470356583595276},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07569310069084167},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc.2015.7343634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2015.7343634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1512961795","https://openalex.org/W1578099820","https://openalex.org/W1654257729","https://openalex.org/W1918250237","https://openalex.org/W1971094390","https://openalex.org/W1986931325","https://openalex.org/W2034260606","https://openalex.org/W2038298911","https://openalex.org/W2047064261","https://openalex.org/W2077318038","https://openalex.org/W2081065314","https://openalex.org/W2096613063","https://openalex.org/W2101499617","https://openalex.org/W2104783034","https://openalex.org/W2105842599","https://openalex.org/W2108093964","https://openalex.org/W2123241700","https://openalex.org/W2128659236","https://openalex.org/W2135643635","https://openalex.org/W2136235822","https://openalex.org/W2143839235","https://openalex.org/W2160822433","https://openalex.org/W2165742939","https://openalex.org/W2296616510","https://openalex.org/W3105340263","https://openalex.org/W4250955649","https://openalex.org/W6630680780","https://openalex.org/W6634702315","https://openalex.org/W6640281494","https://openalex.org/W6659855906","https://openalex.org/W6676401322","https://openalex.org/W6680992327"],"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/W2171218219","https://openalex.org/W2358292267","https://openalex.org/W2150410159","https://openalex.org/W1972271943","https://openalex.org/W2157715872"],"abstract_inverted_index":{"The":[0,27,98,136],"recently":[1],"emerged":[2],"compressive":[3],"sensing":[4],"(CS)":[5],"theory":[6],"provides":[7],"a":[8,44],"whole":[9],"new":[10],"avenue":[11],"for":[12,107],"data":[13,73,116],"gathering":[14],"(DG)":[15],"in":[16,81,96,118,198,208],"wireless":[17],"sensor":[18,51,58,134,144,164],"networks":[19],"(WSNs)":[20],"with":[21,141,158,212,215],"the":[22,34,39,50,56,64,69,72,77,82,108,112,115,123,130,133,142,147,153,159,163,170,174,185,190,213,216],"benefits":[23],"of":[24,55,71,114,132,152,200],"energy":[25,204],"efficient.":[26],"exiting":[28],"CS":[29,92],"based":[30,37,93,102,177,195],"DG":[31,94,187,196],"approaches":[32],"design":[33],"routing":[35,124],"processes":[36,125],"on":[38],"assumption":[40],"that":[41,46,184],"there":[42],"is":[43,105],"transform":[45],"can":[47],"sparsely":[48],"represent":[49],"readings.":[52,135],"However,":[53],"most":[54],"real":[57],"readings":[59,145,165],"are":[60,126,139,166],"well":[61],"approximated":[62],"by":[63,149,168],"sparse":[65],"signals,":[66],"which":[67,119,206],"increases":[68],"amount":[70],"traffic":[74],"to":[75,173],"obtain":[76],"exact":[78],"reconstruction,":[79],"specially":[80],"noisy":[83],"situation.":[84],"In":[85],"this":[86],"paper,":[87],"we":[88],"present":[89],"an":[90],"adaptable":[91],"scheme":[95,188,197],"WSNs.":[97],"autoregressive":[99],"(AR)":[100],"model":[101,121,176],"optimization":[103,178],"problem":[104],"considered":[106],"successive":[109],"reconstruction":[110,131,201,210],"and":[111,122,203],"reduction":[113],"traffic,":[117],"AR":[120,137,161,175],"jointly":[127],"introduced":[128],"into":[129],"parameters":[138],"evaluated":[140],"historical":[143],"at":[146],"sink,":[148],"taking":[150],"advantage":[151],"similar":[154],"spatial":[155],"correlation.":[156],"Then,":[157],"known":[160],"parameters,":[162],"reconstructed":[167],"extending":[169],"BPDN":[171],"algorithm":[172],"problem.":[179],"Our":[180],"experimental":[181],"results":[182,207],"indicate":[183],"proposed":[186],"outperforms":[189],"exist":[191],"random":[192],"walk":[193],"(RW)":[194],"terms":[199],"error":[202],"efficient,":[205],"better":[209],"accuracy":[211],"RWs":[214],"significantly":[217],"smaller":[218],"length.":[219]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}