{"id":"https://openalex.org/W4416756148","doi":"https://doi.org/10.1109/tii.2025.3632658","title":"Graph Neural Network-Driven Networking for Robust Industrial Wireless Sensor Networks","display_name":"Graph Neural Network-Driven Networking for Robust Industrial Wireless Sensor Networks","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W4416756148","doi":"https://doi.org/10.1109/tii.2025.3632658"},"language":null,"primary_location":{"id":"doi:10.1109/tii.2025.3632658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3632658","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Transactions on Industrial Informatics","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/A5066053673","display_name":"Yuhan Su","orcid":"https://orcid.org/0000-0003-4813-019X"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhan Su","raw_affiliation_strings":["School of Electronic Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082247652","display_name":"Yu\u2010Chen Lin","orcid":"https://orcid.org/0000-0002-6735-0473"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Lin","raw_affiliation_strings":["School of Electronic Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101643297","display_name":"Xinqin Liao","orcid":"https://orcid.org/0000-0001-7772-3280"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinqin Liao","raw_affiliation_strings":["School of Electronic Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430408","display_name":"Zhong Chen","orcid":"https://orcid.org/0000-0002-1473-2224"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Chen","raw_affiliation_strings":["School of Electronic Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075583655","display_name":"Tingzhu Wu","orcid":"https://orcid.org/0000-0001-9453-6823"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingzhu Wu","raw_affiliation_strings":["School of Electronic Science and Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I75867142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066053673"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41986729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"3","first_page":"1893","last_page":"1904"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.7549999952316284,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.7549999952316284,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.03759999945759773,"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/T12216","display_name":"Network Time Synchronization Technologies","score":0.023800000548362732,"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6945000290870667},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5760999917984009},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4544999897480011},{"id":"https://openalex.org/keywords/key-distribution-in-wireless-sensor-networks","display_name":"Key distribution in wireless sensor networks","score":0.42750000953674316},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.3869999945163727},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.38029998540878296},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.37950000166893005},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.37929999828338623},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.3734000027179718}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6945000290870667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6728000044822693},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5760999917984009},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5188000202178955},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4706999957561493},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4544999897480011},{"id":"https://openalex.org/C41971633","wikidata":"https://www.wikidata.org/wiki/Q6398155","display_name":"Key distribution in wireless sensor networks","level":4,"score":0.42750000953674316},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.38029998540878296},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.37950000166893005},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.3734000027179718},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.373199999332428},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.3431999981403351},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2838999927043915},{"id":"https://openalex.org/C111185680","wikidata":"https://www.wikidata.org/wiki/Q3866206","display_name":"Sensor node","level":5,"score":0.2712000012397766},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.2703999876976013},{"id":"https://openalex.org/C176563091","wikidata":"https://www.wikidata.org/wiki/Q669238","display_name":"Intelligent sensor","level":3,"score":0.2671999931335449},{"id":"https://openalex.org/C7091991","wikidata":"https://www.wikidata.org/wiki/Q17149548","display_name":"Mobile wireless sensor network","level":5,"score":0.2644999921321869},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.2630000114440918}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3632658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3632658","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2033912345","https://openalex.org/W2049950845","https://openalex.org/W2057540419","https://openalex.org/W2097240734","https://openalex.org/W2103723095","https://openalex.org/W2111075016","https://openalex.org/W2124363451","https://openalex.org/W2134331130","https://openalex.org/W2787013442","https://openalex.org/W2805077076","https://openalex.org/W2919612215","https://openalex.org/W2944725105","https://openalex.org/W2981134958","https://openalex.org/W2984884920","https://openalex.org/W2991312562","https://openalex.org/W2997997679","https://openalex.org/W3036285064","https://openalex.org/W3041207562","https://openalex.org/W3092311181","https://openalex.org/W3112790514","https://openalex.org/W3119351122","https://openalex.org/W3126857559","https://openalex.org/W3139536780","https://openalex.org/W3173386267","https://openalex.org/W3182528309","https://openalex.org/W4309531104","https://openalex.org/W4313137361","https://openalex.org/W4324116596","https://openalex.org/W4327737251","https://openalex.org/W4376649164","https://openalex.org/W4379930959","https://openalex.org/W4380607130","https://openalex.org/W4385832357","https://openalex.org/W4386883164","https://openalex.org/W4393378444","https://openalex.org/W4396506601","https://openalex.org/W4399562848","https://openalex.org/W4405488269"],"related_works":[],"abstract_inverted_index":{"Industrial":[0],"wireless":[1],"sensor":[2],"networks":[3],"(IWSNs)":[4],"play":[5],"a":[6,34,44,65,70,89,93,119],"critical":[7],"role":[8],"in":[9,16,28,78,123,141],"enabling":[10,74],"real-time":[11,106],"monitoring":[12],"and":[13,24,30,58,69,98],"intelligent":[14],"automation":[15],"modern":[17],"industrial":[18,146],"applications.":[19,147],"However,":[20],"maintaining":[21],"reliable":[22],"communication":[23,56],"efficient":[25],"data":[26,60],"transmission":[27],"dynamic":[29],"interference-prone":[31],"environments":[32],"remains":[33],"significant":[35],"challenge.":[36],"To":[37],"address":[38],"these":[39],"limitations,":[40],"this":[41],"article":[42],"proposes":[43],"graph":[45],"neural":[46],"network":[47,76,86,129],"(GNN)-driven":[48],"networking":[49],"approach":[50,63],"for":[51,105,145],"IWSNs,":[52],"designed":[53],"to":[54,80,118],"enhance":[55],"robustness":[57],"optimize":[59],"processing.":[61],"Our":[62],"incorporates":[64],"minimum":[66],"capacity":[67],"constraint":[68],"trainable":[71],"slack":[72],"parameter,":[73],"adaptive":[75],"configuration":[77],"response":[79],"changing":[81],"conditions.":[82,130],"By":[83],"modeling":[84],"the":[85,110,134,137],"topology":[87],"as":[88],"graph,":[90],"we":[91],"formulate":[92],"device-centric":[94],"joint":[95],"node":[96],"selection":[97],"power":[99],"allocation":[100],"(JNP)":[101],"strategy,":[102],"leveraging":[103],"GNNs":[104],"decision-making.":[107],"Simulations":[108],"benchmark":[109],"proposed":[111,138],"method":[112],"against":[113],"state-of-the-art":[114],"methods,":[115],"showing":[116],"up":[117],"70%":[120],"average":[121],"increase":[122],"fifth":[124],"percentile":[125],"rate":[126],"across":[127],"various":[128],"These":[131],"results":[132],"highlight":[133],"effectiveness":[135],"of":[136],"JNP":[139],"strategy":[140],"improving":[142],"IWSN":[143],"performance":[144]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-25T00:00:00"}