{"id":"https://openalex.org/W4411996005","doi":"https://doi.org/10.1109/smartcomp65954.2025.00064","title":"Fog-Cloud Interpolation of Urban Monitoring Data Collected by LoRaWan Networks","display_name":"Fog-Cloud Interpolation of Urban Monitoring Data Collected by LoRaWan Networks","publication_year":2025,"publication_date":"2025-06-16","ids":{"openalex":"https://openalex.org/W4411996005","doi":"https://doi.org/10.1109/smartcomp65954.2025.00064"},"language":"en","primary_location":{"id":"doi:10.1109/smartcomp65954.2025.00064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartcomp65954.2025.00064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Smart Computing (SMARTCOMP)","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/A5048318885","display_name":"Carmine Colarusso","orcid":"https://orcid.org/0000-0002-0914-1315"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Carmine Colarusso","raw_affiliation_strings":["University of Sannio,Dept. of Engineering,Benevento,Italy"],"affiliations":[{"raw_affiliation_string":"University of Sannio,Dept. of Engineering,Benevento,Italy","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093836907","display_name":"Ida Falco","orcid":"https://orcid.org/0009-0004-9507-1676"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ida Falco","raw_affiliation_strings":["University of Sannio,Dept. of Engineering,Benevento,Italy"],"affiliations":[{"raw_affiliation_string":"University of Sannio,Dept. of Engineering,Benevento,Italy","institution_ids":["https://openalex.org/I16337185"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090058284","display_name":"Eugenio Zimeo","orcid":"https://orcid.org/0000-0003-4683-5487"},"institutions":[{"id":"https://openalex.org/I16337185","display_name":"University of Sannio","ror":"https://ror.org/04vc81p87","country_code":"IT","type":"education","lineage":["https://openalex.org/I16337185"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Eugenio Zimeo","raw_affiliation_strings":["University of Sannio,Dept. of Engineering,Benevento,Italy"],"affiliations":[{"raw_affiliation_string":"University of Sannio,Dept. of Engineering,Benevento,Italy","institution_ids":["https://openalex.org/I16337185"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048318885"],"corresponding_institution_ids":["https://openalex.org/I16337185"],"apc_list":null,"apc_paid":null,"fwci":2.116,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8774095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"146","last_page":"153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7711132764816284},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.651064395904541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5936996936798096},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4718893766403198},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4142146706581116},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3868602514266968},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1761266589164734},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1489017903804779},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.06860673427581787}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7711132764816284},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.651064395904541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5936996936798096},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4718893766403198},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4142146706581116},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3868602514266968},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1761266589164734},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1489017903804779},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06860673427581787},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smartcomp65954.2025.00064","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartcomp65954.2025.00064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Smart Computing (SMARTCOMP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2066381443","https://openalex.org/W2089055951","https://openalex.org/W2119816061","https://openalex.org/W2286250368","https://openalex.org/W2811092602","https://openalex.org/W2967005712","https://openalex.org/W2987739634","https://openalex.org/W3109312291","https://openalex.org/W3136265365","https://openalex.org/W3172717264","https://openalex.org/W4318002279","https://openalex.org/W4322487615","https://openalex.org/W4402742470","https://openalex.org/W6882525229"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727"],"abstract_inverted_index":{"The":[0,110,138],"increasing":[1],"deployment":[2],"of":[3,64,103,144],"distributed":[4],"sensor":[5,35],"networks":[6],"for":[7,88,133],"environmental":[8],"monitoring":[9],"introduces":[10],"challenges":[11],"in":[12,101,177,188],"data":[13,93,113,152],"collection.":[14],"Traditional":[15],"Cloud-based":[16],"architectures":[17],"often":[18],"struggle":[19],"with":[20],"high":[21],"latency,":[22,171],"bandwidth":[23],"constraints,":[24],"and":[25,33,46,57,79,91,105,119,151],"scalability":[26,121],"issues,":[27],"especially":[28],"when":[29],"handling":[30],"spatially":[31],"dense":[32],"high-frequency":[34],"data.":[36],"To":[37],"address":[38],"these":[39],"challenges,":[40],"we":[41],"propose":[42],"a":[43,185],"Fog-based":[44],"interpolation":[45,73,168],"Cloud":[47,58],"aggregation":[48],"framework":[49],"that":[50,166],"distributes":[51],"computational":[52,148],"tasks":[53],"across":[54],"Edge,":[55],"Fog,":[56],"layers":[59],"to":[60,95,123,174,184],"enhance":[61],"the":[62,96,107,127,142,145,189],"efficiency":[63,154],"smart":[65,135],"sensing":[66],"applications.":[67],"Our":[68],"approach":[69,187],"exploits":[70],"localized":[71],"spatial":[72],"methods":[74],"(e.g.,":[75],"Inverse":[76],"Distance":[77],"Weighting":[78],"Radial":[80],"Basis":[81],"Functions)":[82],"directly":[83],"at":[84,126],"Fog":[85,128],"nodes,":[86],"allowing":[87],"fast":[89],"computation":[90],"reduced":[92],"transmission":[94,153],"Cloud,":[97],"which":[98],"remains":[99],"only":[100],"charge":[102],"refining":[104],"merging":[106],"interpolated":[108],"datasets.":[109],"proposed":[111],"hierarchical":[112],"processing":[114,125],"strategy":[115],"minimizes":[116],"network":[117],"usage":[118],"enhances":[120],"due":[122],"local":[124],"layer,":[129],"making":[130],"it":[131],"ideal":[132],"large-scale":[134],"computing":[136],"systems.":[137],"paper":[139],"focuses":[140],"on":[141],"analysis":[143],"trade-offs":[146],"between":[147],"overhead,":[149],"accuracy,":[150],"through":[155],"an":[156],"experimental":[157],"validation":[158],"conducted":[159],"using":[160],"real-world":[161],"vehicles'":[162],"paths.":[163],"Results":[164],"demonstrate":[165],"Fog-assisted":[167],"can":[169],"reduce":[170],"achieving":[172],"up":[173],"81%":[175],"improvement":[176],"some":[178],"cases,":[179],"while":[180],"maintaining":[181],"accuracy":[182],"comparable":[183],"global":[186],"Cloud.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
