{"id":"https://openalex.org/W4387761011","doi":"https://doi.org/10.1109/ipccc59175.2023.10253869","title":"DynaES: Dynamic Energy Scheduling for Energy Harvesting Environmental Sensors","display_name":"DynaES: Dynamic Energy Scheduling for Energy Harvesting Environmental Sensors","publication_year":2023,"publication_date":"2023-10-18","ids":{"openalex":"https://openalex.org/W4387761011","doi":"https://doi.org/10.1109/ipccc59175.2023.10253869"},"language":"en","primary_location":{"id":"doi:10.1109/ipccc59175.2023.10253869","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ipccc59175.2023.10253869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Performance, Computing, and Communications Conference (IPCCC)","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/A5051928424","display_name":"Jianwei Hao","orcid":"https://orcid.org/0000-0002-3684-5270"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jianwei Hao","raw_affiliation_strings":["The University of Georgia,School of Computing,Athens,GA,USA","School of Computing, The University of Georgia, Athens, GA, USA"],"affiliations":[{"raw_affiliation_string":"The University of Georgia,School of Computing,Athens,GA,USA","institution_ids":["https://openalex.org/I165733156"]},{"raw_affiliation_string":"School of Computing, The University of Georgia, Athens, GA, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093089934","display_name":"Emmanuel Oni","orcid":null},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emmanuel Oni","raw_affiliation_strings":["The University of Georgia,School of Computing,Athens,GA,USA","School of Computing, The University of Georgia, Athens, GA, USA"],"affiliations":[{"raw_affiliation_string":"The University of Georgia,School of Computing,Athens,GA,USA","institution_ids":["https://openalex.org/I165733156"]},{"raw_affiliation_string":"School of Computing, The University of Georgia, Athens, GA, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084996425","display_name":"In Kee Kim","orcid":"https://orcid.org/0000-0003-1330-7784"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"In Kee Kim","raw_affiliation_strings":["The University of Georgia,School of Computing,Athens,GA,USA","School of Computing, The University of Georgia, Athens, GA, USA"],"affiliations":[{"raw_affiliation_string":"The University of Georgia,School of Computing,Athens,GA,USA","institution_ids":["https://openalex.org/I165733156"]},{"raw_affiliation_string":"School of Computing, The University of Georgia, Athens, GA, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082188602","display_name":"Lakshmish Ramaswamy","orcid":"https://orcid.org/0000-0002-4567-4186"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lakshmish Ramaswamy","raw_affiliation_strings":["The University of Georgia,School of Computing,Athens,GA,USA","School of Computing, The University of Georgia, Athens, GA, USA"],"affiliations":[{"raw_affiliation_string":"The University of Georgia,School of Computing,Athens,GA,USA","institution_ids":["https://openalex.org/I165733156"]},{"raw_affiliation_string":"School of Computing, The University of Georgia, Athens, GA, USA","institution_ids":["https://openalex.org/I165733156"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051928424"],"corresponding_institution_ids":["https://openalex.org/I165733156"],"apc_list":null,"apc_paid":null,"fwci":0.1337,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45444716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"abs/2111.15397","issue":null,"first_page":"365","last_page":"374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9976000189781189,"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":0.9976000189781189,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9375,"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/T11230","display_name":"Innovative Energy Harvesting Technologies","score":0.9329000115394592,"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/software-deployment","display_name":"Software deployment","score":0.8153266906738281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7249495983123779},{"id":"https://openalex.org/keywords/energy-harvesting","display_name":"Energy harvesting","score":0.6990119218826294},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.6075358390808105},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5877972841262817},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4508313238620758},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.44717666506767273},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.35444313287734985},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33379030227661133},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16097897291183472},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14850124716758728}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.8153266906738281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7249495983123779},{"id":"https://openalex.org/C101518730","wikidata":"https://www.wikidata.org/wiki/Q930236","display_name":"Energy harvesting","level":3,"score":0.6990119218826294},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6075358390808105},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5877972841262817},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4508313238620758},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.44717666506767273},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.35444313287734985},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33379030227661133},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16097897291183472},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14850124716758728},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipccc59175.2023.10253869","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ipccc59175.2023.10253869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Performance, Computing, and Communications Conference (IPCCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6499999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306114","display_name":"U.S. Department of Agriculture","ror":"https://ror.org/01na82s61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1987302169","https://openalex.org/W1987307249","https://openalex.org/W1991781995","https://openalex.org/W2005280675","https://openalex.org/W2017563085","https://openalex.org/W2064675550","https://openalex.org/W2075142536","https://openalex.org/W2101234009","https://openalex.org/W2342249984","https://openalex.org/W2606637138","https://openalex.org/W2607704435","https://openalex.org/W2785027006","https://openalex.org/W2799998547","https://openalex.org/W2911964244","https://openalex.org/W2927351132","https://openalex.org/W2965214679","https://openalex.org/W2996977605","https://openalex.org/W3033990438","https://openalex.org/W3035965352","https://openalex.org/W3099878876","https://openalex.org/W3178756396","https://openalex.org/W3180018597","https://openalex.org/W3205299683","https://openalex.org/W3211063584","https://openalex.org/W3212412865","https://openalex.org/W4211148370","https://openalex.org/W4285815121","https://openalex.org/W4286849979","https://openalex.org/W4317927992","https://openalex.org/W6713134421","https://openalex.org/W6804206276"],"related_works":["https://openalex.org/W96612179","https://openalex.org/W2770234245","https://openalex.org/W2566006169","https://openalex.org/W2987774938","https://openalex.org/W632915154","https://openalex.org/W4229499248","https://openalex.org/W4378874356","https://openalex.org/W2055733372","https://openalex.org/W2369811061","https://openalex.org/W2331237132"],"abstract_inverted_index":{"Low-cost":[0],"sensors":[1,11,35,73,102,142],"and":[2,14,130,133,146,150,161,182],"IoT":[3],"technologies":[4],"have":[5],"facilitated":[6],"the":[7,24],"deployment":[8,32],"of":[9,26],"environmental":[10,72,128],"to":[12,23,141],"collect":[13],"analyze":[15],"various":[16],"factors,":[17],"such":[18,47],"as":[19,48,77],"soil":[20],"properties.":[21],"Due":[22],"lack":[25],"electric":[27],"power":[28,115,121],"networks":[29],"in":[30,82,127],"many":[31],"locations,":[33],"these":[34],"rely":[36],"on":[37,105,144,158],"energy":[38,45,64,97,136,140,176],"harvesting":[39],"(EH)":[40],"systems":[41,54],"that":[42,118,138,171],"use":[43],"natural":[44],"sources":[46],"solar":[49],"power.":[50],"Specifically,":[51],"solar-powered":[52],"EH":[53,71,101],"benefit":[55],"from":[56],"timely":[57],"obtaining":[58,67],"weather":[59,68,107],"information":[60,69],"for":[61,70,100],"efficient":[62],"future":[63,120,175],"scheduling.":[65],"However,":[66],"is":[74],"always":[75],"challenging,":[76],"they":[78],"are":[79],"commonly":[80],"deployed":[81],"harsh":[83],"environments":[84],"without":[85,103,202],"network":[86],"access.":[87],"To":[88],"address":[89],"this":[90],"problem,":[91],"we":[92],"present":[93],"DynaES,":[94],"a":[95,113,134],"novel":[96],"scheduling":[98],"method":[99],"relying":[104],"online":[106],"forecasts.":[108],"DynaES":[109,154,172],"comprises":[110],"two":[111],"components:":[112],"DC":[114],"gain":[116,122,177],"estimator":[117],"predicts":[119,174],"by":[123],"individually":[124],"estimating":[125],"changes":[126],"parameters":[129],"ensembling":[131],"them,":[132],"dynamic":[135],"scheduler":[137],"distributes":[139],"based":[143],"priority":[145],"adjusts":[147],"sensing":[148,191,195],"intervals":[149,196],"frequency.":[151],"We":[152],"evaluate":[153],"via":[155],"simulation-based":[156],"studies":[157],"real-world":[159],"datasets":[160],"compare":[162],"its":[163],"performance":[164],"against":[165],"state-of-the-art":[166],"baselines.":[167],"Evaluation":[168],"results":[169],"show":[170],"accurately":[173],"with":[178,193],"low":[179],"estimation":[180],"errors":[181],"enables":[183],"$1.8":[184],"\\times$":[185,188],"\u2013":[186],"$4":[187],"more":[189],"frequent":[190],"operations":[192],"shorter":[194],"while":[197],"achieving":[198],"longer":[199],"operation":[200],"hours":[201],"complete":[203],"battery":[204],"drains.":[205]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}
