{"id":"https://openalex.org/W4312600892","doi":"https://doi.org/10.1109/jiot.2022.3222513","title":"Efficient Fusion and Reconstruction for Communication and Sensing Signals in Green IoT Networks","display_name":"Efficient Fusion and Reconstruction for Communication and Sensing Signals in Green IoT Networks","publication_year":2022,"publication_date":"2022-11-16","ids":{"openalex":"https://openalex.org/W4312600892","doi":"https://doi.org/10.1109/jiot.2022.3222513"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2022.3222513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3222513","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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 Internet of Things Journal","raw_type":"journal-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/A5084521193","display_name":"Zexuan Jing","orcid":"https://orcid.org/0000-0002-6199-7209"},"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":"Zexuan Jing","raw_affiliation_strings":["State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6199-7209","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050556544","display_name":"Junsheng Mu","orcid":"https://orcid.org/0000-0002-5352-8314"},"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":"Junsheng Mu","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Communications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5352-8314","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Communications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406096","display_name":"Xinyu Li","orcid":"https://orcid.org/0000-0002-1919-2327"},"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/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":["AU","CN"],"is_corresponding":false,"raw_author_name":"Xinyu Li","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Communications, Beijing, China","Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1919-2327","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Communications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072506119","display_name":"Quan Zhou","orcid":"https://orcid.org/0000-0003-1547-3065"},"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":"Quan Zhou","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Communications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1547-3065","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Communications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088186165","display_name":"Qinghua Tian","orcid":"https://orcid.org/0000-0002-1169-9078"},"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":"Qinghua Tian","raw_affiliation_strings":["State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1169-9078","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084521193"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":12.749,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.98131021,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"10","issue":"11","first_page":"9319","last_page":"9328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11698","display_name":"Underwater Acoustics Research","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8259612321853638},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.7997852563858032},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6875302195549011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5238352417945862},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5124419331550598},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5069213509559631},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5028831362724304},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.49976611137390137},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4825293719768524},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.47881680727005005},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.44137296080589294},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.41045671701431274},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4009239077568054},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3924248218536377},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3474787473678589},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3404455780982971},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14530643820762634},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12030449509620667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8259612321853638},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.7997852563858032},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6875302195549011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5238352417945862},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5124419331550598},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5069213509559631},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5028831362724304},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.49976611137390137},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4825293719768524},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.47881680727005005},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.44137296080589294},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.41045671701431274},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4009239077568054},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3924248218536377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3474787473678589},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3404455780982971},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14530643820762634},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12030449509620667},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2022.3222513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3222513","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1539811621","https://openalex.org/W1959608418","https://openalex.org/W2038420319","https://openalex.org/W2131324761","https://openalex.org/W2154319347","https://openalex.org/W2170140021","https://openalex.org/W2558891025","https://openalex.org/W2592549785","https://openalex.org/W2611467245","https://openalex.org/W2788008270","https://openalex.org/W2805161269","https://openalex.org/W2888702972","https://openalex.org/W2944605902","https://openalex.org/W2961380111","https://openalex.org/W2963504849","https://openalex.org/W2964277700","https://openalex.org/W2972473258","https://openalex.org/W2984459839","https://openalex.org/W2998578058","https://openalex.org/W2999798127","https://openalex.org/W3029957888","https://openalex.org/W3103964896","https://openalex.org/W3137806212","https://openalex.org/W3176792951","https://openalex.org/W3194620979","https://openalex.org/W3200820186","https://openalex.org/W3202610094","https://openalex.org/W3213070675","https://openalex.org/W4200372175","https://openalex.org/W4213428899","https://openalex.org/W4220997490","https://openalex.org/W4285134378","https://openalex.org/W4285522969","https://openalex.org/W4312295118","https://openalex.org/W6640963894","https://openalex.org/W6801862649"],"related_works":["https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4220682630","https://openalex.org/W3181622257","https://openalex.org/W4389832810","https://openalex.org/W3133533225"],"abstract_inverted_index":{"Efficient":[0],"and":[1,6,35,54,91,128,132,144,154,160,176],"green":[2],"transmission":[3,80],"of":[4,16,74,81,138,162],"communication":[5,52],"sensing":[7],"(C&S)":[8],"signals":[9,181],"is":[10,100,116],"a":[11,25,44,58,82,96],"vital":[12],"problem":[13],"in":[14,69,165],"Internet":[15],"Things":[17],"(IoT)":[18],"networks.":[19,72],"In":[20],"this":[21],"article,":[22],"we":[23,42],"propose":[24],"variational":[26],"autoencoder":[27],"(VAE)-empowered":[28],"deep":[29],"learning":[30],"(DL)":[31],"network":[32,47,89,93,99,123],"to":[33,48,66,102,118,186],"fuse":[34,49],"reconstruct":[36],"the":[37,50,79,107,120,136,158,163,166,172,184,190],"integrated":[38,146],"C&S":[39,77,104,147,180],"signals.":[40,148],"Specifically,":[41],"present":[43],"convolutional":[45],"neural":[46],"input":[51],"data":[53,105],"SAR":[55],"images":[56],"into":[57],"combined":[59],"representation,":[60],"which":[61],"can":[62,86],"then":[63],"be":[64],"transmitted":[65,108],"other":[67],"nodes":[68],"space\u2013air\u2013ground\u2013ocean-integrated":[70],"IoT":[71],"Instead":[73],"directly":[75],"transmitting":[76,143],"data,":[78],"fused":[83],"feature":[84,109],"vector":[85],"greatly":[87],"save":[88],"resources":[90],"reduce":[92],"burden.":[94],"Then,":[95],"mirrored":[97],"deconvolutional":[98],"constructed":[101],"recover":[103],"from":[106],"representation.":[110],"An":[111],"end-to-end":[112],"unsupervised":[113],"training":[114],"strategy":[115],"considered":[117],"train":[119],"proposed":[121,140,167,173],"DL":[122,168],"without":[124],"any":[125],"label":[126],"information":[127,187],"human":[129],"labor.":[130],"Qualitative":[131],"quantitative":[133],"experiments":[134],"demonstrate":[135],"feasibility":[137],"our":[139],"approach":[141],"for":[142,179],"reconstructing":[145],"Further":[149],"analysis":[150],"on":[151],"hyperparameter":[152],"sensitivity":[153],"loss":[155],"functions":[156],"verifies":[157],"necessity":[159],"efficiency":[161],"components":[164],"model.":[169],"Note":[170],"that":[171],"efficient":[174],"fusion":[175],"reconstruction":[177],"schemes":[178],"may":[182],"provide":[183],"convenience":[185],"sharing":[188],"under":[189],"distributed":[191],"scenarios.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
