{"id":"https://openalex.org/W7162313083","doi":"https://doi.org/10.48550/arxiv.2605.22824","title":"An AI-Driven Framework for Energy-Efficient Environmental Monitoring in Smart Cities Using Edge Intelligence","display_name":"An AI-Driven Framework for Energy-Efficient Environmental Monitoring in Smart Cities Using Edge Intelligence","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7162313083","doi":"https://doi.org/10.48550/arxiv.2605.22824"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.22824","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.22824","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.22824","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136942169","display_name":"Yichen Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yichen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136971466","display_name":"Imam Akintomiwa Akinlade","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akinlade, Imam Akintomiwa","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030696708","display_name":"Xiaochong Jiang","orcid":"https://orcid.org/0009-0003-8343-6394"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Xiaochong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136910410","display_name":"Wenting Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Wenting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136969157","display_name":"Shiqi Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Shiqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.27889999747276306,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.27889999747276306,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.2653999924659729,"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/T11479","display_name":"Smart Cities and Technologies","score":0.16030000150203705,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6396999955177307},{"id":"https://openalex.org/keywords/environmental-monitoring","display_name":"Environmental monitoring","score":0.618399977684021},{"id":"https://openalex.org/keywords/smart-city","display_name":"Smart city","score":0.5924999713897705},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5717999935150146},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5672000050544739},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.47609999775886536},{"id":"https://openalex.org/keywords/intelligent-sensor","display_name":"Intelligent sensor","score":0.4668999910354614},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.45980000495910645},{"id":"https://openalex.org/keywords/ambient-intelligence","display_name":"Ambient intelligence","score":0.4456999897956848}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6396999955177307},{"id":"https://openalex.org/C539469273","wikidata":"https://www.wikidata.org/wiki/Q1749732","display_name":"Environmental monitoring","level":2,"score":0.618399977684021},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.5924999713897705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5730999708175659},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5717999935150146},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5672000050544739},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.47609999775886536},{"id":"https://openalex.org/C176563091","wikidata":"https://www.wikidata.org/wiki/Q669238","display_name":"Intelligent sensor","level":3,"score":0.4668999910354614},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.45980000495910645},{"id":"https://openalex.org/C201638289","wikidata":"https://www.wikidata.org/wiki/Q457396","display_name":"Ambient intelligence","level":2,"score":0.4456999897956848},{"id":"https://openalex.org/C2776356880","wikidata":"https://www.wikidata.org/wiki/Q5381206","display_name":"Environmental data","level":2,"score":0.4106999933719635},{"id":"https://openalex.org/C152223200","wikidata":"https://www.wikidata.org/wiki/Q3055471","display_name":"Smart environment","level":3,"score":0.3986000120639801},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.3131999969482422},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3116999864578247},{"id":"https://openalex.org/C83931994","wikidata":"https://www.wikidata.org/wiki/Q1149653","display_name":"Building automation","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C164749845","wikidata":"https://www.wikidata.org/wiki/Q320389","display_name":"Environmental impact assessment","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28619998693466187},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.25769999623298645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.22824","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.22824","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.22824","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.22824","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Environmental":[0],"monitoring":[1,61,205],"is":[2],"a":[3,104,138,153],"crucial":[4],"component":[5],"of":[6,28,191],"the":[7,25,29,84,88,165,189],"smart":[8,30,63,203],"city":[9,204],"infrastructure.":[10],"It":[11],"enables":[12],"informed":[13],"decision":[14],"making":[15],"which":[16,162],"enhances":[17],"sustainability,":[18],"public":[19],"health":[20],"and":[21,39,75,93,118,128,172,181,194,201],"urban":[22],"planning.":[23],"However,":[24],"large-scale":[26],"deployments":[27,145],"sensors":[31,85,97],"have":[32],"raised":[33],"concerns":[34],"on":[35,87,103],"excessive":[36],"energy":[37,94,170],"consumption":[38,171],"redundant":[40],"data":[41],"collection":[42],"as":[43,45,112],"well":[44],"limited":[46],"sensor":[47,116,174],"lifespan.":[48,121],"To":[49],"resolve":[50],"these":[51],"issues,":[52],"we":[53],"present":[54],"an":[55],"AI-driven":[56],"framework":[57,70,123],"for":[58,134,198],"energy-efficient":[59],"environmental":[60,91,114,160],"in":[62,79,109,146],"cities":[64],"utilizing":[65],"edge":[66,73,192],"intelligence.":[67],"Our":[68,122],"proposed":[69,166],"leverages":[71],"TinyML-enabled":[72],"devices":[74],"context-aware":[76],"adaptive":[77,183,195],"decision-making":[78],"order":[80],"to":[81,143,178],"dynamically":[82,100],"activate":[83],"based":[86,102],"spatiotemporal":[89],"conditions,":[90,115],"statistics":[92],"constraints.":[95],"The":[96,186],"will":[98,124],"be":[99],"activated":[101],"utility":[105],"function":[106],"that":[107,164],"takes":[108],"factors":[110],"such":[111],"real-time":[113],"location,":[117],"remaining":[119],"battery":[120],"reduce":[125],"unnecessary":[126],"sensing":[127,184],"communication":[129],"while":[130],"maintaining":[131],"high":[132],"coverage":[133],"monitoring.":[135],"We":[136,149],"introduce":[137],"hierarchical":[139],"Edge":[140],"Intelligence":[141],"architecture":[142],"support":[144],"city-wide":[147],"scales.":[148],"conducted":[150],"evaluation":[151],"using":[152],"city-scale":[154],"simulation":[155],"driven":[156],"by":[157],"real":[158],"multi-sensor":[159],"traces,":[161],"demonstrates":[163],"mechanism":[167],"significantly":[168],"reduces":[169],"extends":[173],"lifespan":[175],"when":[176],"compared":[177],"static,":[179],"periodic,":[180],"UCB-based":[182],"strategies.":[185],"results":[187],"highlight":[188],"potential":[190],"intelligence":[193],"AI":[196],"techniques":[197],"building":[199],"sustainable":[200],"efficient":[202],"systems.":[206]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-26T00:00:00"}