{"id":"https://openalex.org/W4387914647","doi":"https://doi.org/10.1109/mnet.010.2200662","title":"ENORA: Empowering Energy-Neutral Operation in LoRa Networks via Embedded Intelligence","display_name":"ENORA: Empowering Energy-Neutral Operation in LoRa Networks via Embedded Intelligence","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4387914647","doi":"https://doi.org/10.1109/mnet.010.2200662"},"language":"en","primary_location":{"id":"doi:10.1109/mnet.010.2200662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.010.2200662","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"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 Network","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/A5064492290","display_name":"Sukanya Jewsakul","orcid":"https://orcid.org/0000-0002-8370-9984"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Sukanya Jewsakul","raw_affiliation_strings":["University of Hong Kong,Hong Kong","University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong,Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077317339","display_name":"Edith C.\u2010H. Ngai","orcid":"https://orcid.org/0000-0002-3454-8731"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Edith C. H. Ngai","raw_affiliation_strings":["University of Hong Kong,Hong Kong","University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong,Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064492290"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.8023,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72447121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"37","issue":"4","first_page":"127","last_page":"134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12079","display_name":"IoT Networks and Protocols","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11230","display_name":"Innovative Energy Harvesting Technologies","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"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/energy-harvesting","display_name":"Energy harvesting","score":0.8187093138694763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7595827579498291},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.617036759853363},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5946317315101624},{"id":"https://openalex.org/keywords/energy-management","display_name":"Energy management","score":0.566164493560791},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.561516523361206},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5175530314445496},{"id":"https://openalex.org/keywords/available-energy","display_name":"Available energy","score":0.43285149335861206},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37230414152145386},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3426557183265686},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.33814138174057007},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.17155086994171143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1245085597038269},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10713756084442139}],"concepts":[{"id":"https://openalex.org/C101518730","wikidata":"https://www.wikidata.org/wiki/Q930236","display_name":"Energy harvesting","level":3,"score":0.8187093138694763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7595827579498291},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.617036759853363},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5946317315101624},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.566164493560791},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.561516523361206},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5175530314445496},{"id":"https://openalex.org/C35380695","wikidata":"https://www.wikidata.org/wiki/Q4827434","display_name":"Available energy","level":3,"score":0.43285149335861206},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37230414152145386},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3426557183265686},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.33814138174057007},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.17155086994171143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1245085597038269},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10713756084442139},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mnet.010.2200662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.010.2200662","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"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 Network","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"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":12,"referenced_works":["https://openalex.org/W2474890436","https://openalex.org/W2929834255","https://openalex.org/W2982291198","https://openalex.org/W3008266721","https://openalex.org/W3109129044","https://openalex.org/W3110502668","https://openalex.org/W3189818038","https://openalex.org/W3216222717","https://openalex.org/W4200503332","https://openalex.org/W4283013268","https://openalex.org/W4283209013","https://openalex.org/W4285815177"],"related_works":["https://openalex.org/W2331237132","https://openalex.org/W2075222937","https://openalex.org/W2602614832","https://openalex.org/W2586825819","https://openalex.org/W2806215647","https://openalex.org/W2808727896","https://openalex.org/W2809640332","https://openalex.org/W2764343546","https://openalex.org/W2123022663","https://openalex.org/W3195294046"],"abstract_inverted_index":{"Energy-availability":[0],"prediction":[1],"algorithms":[2],"based":[3],"on":[4,14,84,88],"neural":[5],"networks":[6,105,115],"and":[7,54,59,119],"random":[8],"forests":[9],"have":[10],"enabled":[11],"energy-neutral":[12,49,82,100],"operation":[13,101],"resource-constrained":[15],"sensors":[16,29],"powered":[17],"by":[18,116],"energy":[19,24,27,37,122],"harvesting.":[20],"Coupled":[21],"with":[22],"careful":[23],"management,":[25],"the":[26,36,42,55,78,111,128,147],"harvesting-aware":[28],"can":[30],"sustain":[31],"perpetual":[32],"uptime,":[33],"provided":[34],"that":[35,98,136],"consumption":[38],"is":[39],"smaller":[40],"than":[41,146],"harvested":[43,123],"energy.":[44],"Despite":[45],"recent":[46],"algorithmic":[47],"advancements,":[48],"factors":[50,83],"concerning":[51],"battery":[52],"characteristics":[53],"timing":[56],"of":[57,80,113,127],"recharging":[58],"discharging":[60],"processes":[61],"remain":[62],"to":[63,76,140],"be":[64],"further":[65],"explored.":[66],"In":[67],"this":[68],"article,":[69],"we":[70,91],"leverage":[71],"real-world":[72],"solar-energy":[73],"harvesting":[74],"traces":[75],"investigate":[77],"impact":[79],"these":[81],"sensor":[85],"lifetime.":[86],"Based":[87],"our":[89],"findings,":[90],"introduce,":[92],"ENORA,":[93],"a":[94],"novel":[95],"transmission-management":[96],"framework":[97],"empowers":[99],"in":[102],"energy-harvesting":[103],"LoRa":[104,114],"via":[106],"embedded":[107],"intelligence.":[108],"It":[109],"prolongs":[110],"lifetime":[112,145],"dynamically":[117],"allocating":[118],"carefully":[120],"consuming":[121],"during":[124],"different":[125],"times":[126,142],"day.":[129],"The":[130],"results":[131],"from":[132],"trace-driven":[133],"simulations":[134],"reveal":[135],"ENORA":[137],"offers":[138],"up":[139],"2.2":[141],"longer":[143],"network":[144],"state-of-the-art.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
