{"id":"https://openalex.org/W4412404961","doi":"https://doi.org/10.1109/cniot65435.2025.11070445","title":"Resilient Optimization of Sensor Networks Deployment Based on Graph Similarity Learning and Node Resilience Prediction","display_name":"Resilient Optimization of Sensor Networks Deployment Based on Graph Similarity Learning and Node Resilience Prediction","publication_year":2025,"publication_date":"2025-05-23","ids":{"openalex":"https://openalex.org/W4412404961","doi":"https://doi.org/10.1109/cniot65435.2025.11070445"},"language":"en","primary_location":{"id":"doi:10.1109/cniot65435.2025.11070445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cniot65435.2025.11070445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 6th International Conference on Computing, Networks and Internet of Things (CNIOT)","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/A5113971150","display_name":"Chongrong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chongrong Li","raw_affiliation_strings":["Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission,Tianjin,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114058519","display_name":"Rongfang Du","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongfang Du","raw_affiliation_strings":["Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission,Tianjin,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056908913","display_name":"Jiaxin Wu","orcid":"https://orcid.org/0000-0003-4074-3442"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Wu","raw_affiliation_strings":["Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission,Tianjin,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063163653","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0001-9032-4401"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission,Tianjin,China","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113971150"],"corresponding_institution_ids":["https://openalex.org/I180662265"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22410322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9944000244140625,"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":0.9944000244140625,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9907000064849854,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9785000085830688,"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/software-deployment","display_name":"Software deployment","score":0.7448274493217468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.730049729347229},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6173184514045715},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.6091448068618774},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4973588287830353},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4318717420101166},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4294779896736145},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.42612195014953613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3640974164009094},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3403492271900177},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33433768153190613},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23175394535064697},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09923288226127625},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.0661936104297638}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7448274493217468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.730049729347229},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6173184514045715},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.6091448068618774},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4973588287830353},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4318717420101166},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4294779896736145},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.42612195014953613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3640974164009094},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3403492271900177},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33433768153190613},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23175394535064697},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09923288226127625},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0661936104297638},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cniot65435.2025.11070445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cniot65435.2025.11070445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 6th International Conference on Computing, Networks and Internet of Things (CNIOT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W3205973429","https://openalex.org/W4245020679","https://openalex.org/W4285791438","https://openalex.org/W4303426745","https://openalex.org/W4361852934","https://openalex.org/W4385830545","https://openalex.org/W4386536255","https://openalex.org/W4386825023","https://openalex.org/W4389400588"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W2079312091","https://openalex.org/W2892165056","https://openalex.org/W2098964748"],"abstract_inverted_index":{"Network":[0],"resilience,":[1],"defined":[2],"as":[3],"the":[4,23,81,91],"ability":[5],"of":[6,27,83,99],"a":[7,19,46,64,95],"network":[8,28,36,52,68,84,108],"to":[9,103],"maintain":[10],"its":[11],"functionality":[12],"under":[13],"failure":[14],"or":[15],"adversarial":[16],"conditions,":[17],"is":[18],"crucial":[20],"consideration":[21],"in":[22,106],"design":[24],"and":[25,73,110],"deployment":[26,37,53],"systems.":[29],"However,":[30],"traditional":[31],"optimization":[32,48],"approaches":[33],"for":[34,50],"sensor":[35,51],"often":[38],"neglect":[39],"this":[40,78],"essential":[41],"factor.":[42],"This":[43],"paper":[44],"proposes":[45],"resilient":[47],"method":[49,79],"that":[54,90],"integrates":[55],"graph":[56],"similarity":[57],"learning":[58],"with":[59,63],"node":[60],"resilience":[61,85],"prediction,":[62],"focus":[65],"on":[66],"prioritizing":[67],"resilience.":[69],"By":[70],"strategically":[71],"selecting":[72],"incorporating":[74],"optimal":[75],"backup":[76,100],"nodes,":[77,101],"maximizes":[80],"enhancement":[82],"performance.":[86],"Experimental":[87],"results":[88],"demonstrate":[89],"proposed":[92],"approach":[93],"achieves":[94],"more":[96],"efficient":[97],"distribution":[98],"leading":[102],"significant":[104],"improvements":[105],"both":[107],"robustness":[109],"energy":[111],"efficiency.":[112]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
