{"id":"https://openalex.org/W3213246106","doi":"https://doi.org/10.1109/iccc52777.2021.9580386","title":"Sensor Selection With Communication Constraints for Linear Measurement Model","display_name":"Sensor Selection With Communication Constraints for Linear Measurement Model","publication_year":2021,"publication_date":"2021-07-28","ids":{"openalex":"https://openalex.org/W3213246106","doi":"https://doi.org/10.1109/iccc52777.2021.9580386","mag":"3213246106"},"language":"en","primary_location":{"id":"doi:10.1109/iccc52777.2021.9580386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc52777.2021.9580386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","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/A5068113511","display_name":"Shulan Zhang","orcid":"https://orcid.org/0000-0003-3639-5211"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shulan Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038563534","display_name":"Yiyin Wang","orcid":"https://orcid.org/0000-0002-4464-6589"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyin Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046199549","display_name":"Lingya Liu","orcid":"https://orcid.org/0000-0002-4877-5951"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingya Liu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9998999834060669,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9998999834060669,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.684293270111084},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6784813404083252},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.670901894569397},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6086376905441284},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5988532304763794},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5952579975128174},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5060014128684998},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4962366223335266},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3063782751560211},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24333080649375916},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13859856128692627},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11478441953659058}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.684293270111084},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6784813404083252},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.670901894569397},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6086376905441284},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5988532304763794},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5952579975128174},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5060014128684998},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4962366223335266},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3063782751560211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24333080649375916},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13859856128692627},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11478441953659058},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccc52777.2021.9580386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccc52777.2021.9580386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CIC International Conference on Communications in China (ICCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6207390987","display_name":null,"funder_award_id":"61773264,61801295","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6210905430","display_name":null,"funder_award_id":"2019M661507","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1687080872","https://openalex.org/W1772311894","https://openalex.org/W1987484735","https://openalex.org/W1999824796","https://openalex.org/W2009480643","https://openalex.org/W2044803016","https://openalex.org/W2065070128","https://openalex.org/W2070394511","https://openalex.org/W2115518555","https://openalex.org/W2147807687","https://openalex.org/W2169207653","https://openalex.org/W2686306198","https://openalex.org/W2918728295","https://openalex.org/W2963005128","https://openalex.org/W2966386789"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2989915292"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,64],"framework":[4],"for":[5],"group":[6,88],"greedy":[7,89],"methods":[8],"to":[9,24,52,55,76,82],"solve":[10],"the":[11,25,30,43,60,67,70,78,83,87,91,102,106],"sensor":[12],"selection":[13],"problem":[14],"with":[15],"communication":[16,27,44,92],"constraints":[17,93],"based":[18],"on":[19],"linear":[20],"measurement":[21],"models.":[22],"Due":[23],"limited":[26],"range":[28,45],"of":[29,46,59,86,105],"sensors,":[31],"if":[32],"we":[33,49],"assume":[34],"an":[35],"edge":[36],"between":[37],"two":[38,58],"sensors":[39,72],"which":[40],"are":[41],"in":[42,69],"each":[47],"other,":[48],"would":[50],"like":[51],"be":[53,74,95],"able":[54],"connect":[56],"any":[57],"selected":[61,71],"sensors.":[62],"As":[63],"result,":[65],"all":[66],"data":[68,79],"can":[73,94],"collected":[75],"facilitate":[77],"fusion.":[80],"Thanks":[81],"successive":[84],"property":[85],"algorithms,":[90],"accommodated":[96],"naturally.":[97],"The":[98],"simulation":[99],"results":[100],"demonstrate":[101],"superior":[103],"performance":[104],"proposed":[107],"algorithms.":[108]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
