{"id":"https://openalex.org/W2962697507","doi":"https://doi.org/10.1109/icc.2018.8422709","title":"On Maximizing Sampling Time of RF-Harvesting Sensor Nodes over Random Channel Gains","display_name":"On Maximizing Sampling Time of RF-Harvesting Sensor Nodes over Random Channel Gains","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2962697507","doi":"https://doi.org/10.1109/icc.2018.8422709","mag":"2962697507"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2018.8422709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2018.8422709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Communications (ICC)","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/A5040120584","display_name":"Changlin Yang","orcid":"https://orcid.org/0000-0003-1352-7429"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changlin Yang","raw_affiliation_strings":["School of Computer Science, Zhongyuan University of Technology"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Zhongyuan University of Technology","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034008140","display_name":"Kwan\u2010Wu Chin","orcid":"https://orcid.org/0000-0003-1547-9272"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kwan-Wu Chin","raw_affiliation_strings":["School of Electrical, University of Wollongong"],"affiliations":[{"raw_affiliation_string":"School of Electrical, University of Wollongong","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100414105","display_name":"Ying Liu","orcid":"https://orcid.org/0000-0001-9613-7869"},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ying Liu","raw_affiliation_strings":["School of Electrical, University of Wollongong"],"affiliations":[{"raw_affiliation_string":"School of Electrical, University of Wollongong","institution_ids":["https://openalex.org/I204824540"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040120584"],"corresponding_institution_ids":["https://openalex.org/I132586189"],"apc_list":null,"apc_paid":null,"fwci":0.6438,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72393509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":1.0,"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":1.0,"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/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9983000159263611,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6949777007102966},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6697422862052917},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6251435875892639},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5773569345474243},{"id":"https://openalex.org/keywords/rician-fading","display_name":"Rician fading","score":0.5597923398017883},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4703056216239929},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4648958742618561},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4571816921234131},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4454280138015747},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4339243173599243},{"id":"https://openalex.org/keywords/energy-harvesting","display_name":"Energy harvesting","score":0.4104255437850952},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.23863768577575684},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2350633144378662},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.1612798273563385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15103206038475037},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.12336912751197815},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10098928213119507}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6949777007102966},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6697422862052917},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6251435875892639},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5773569345474243},{"id":"https://openalex.org/C60472773","wikidata":"https://www.wikidata.org/wiki/Q7331156","display_name":"Rician fading","level":4,"score":0.5597923398017883},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4703056216239929},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4648958742618561},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4571816921234131},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4454280138015747},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4339243173599243},{"id":"https://openalex.org/C101518730","wikidata":"https://www.wikidata.org/wiki/Q930236","display_name":"Energy harvesting","level":3,"score":0.4104255437850952},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.23863768577575684},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2350633144378662},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.1612798273563385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15103206038475037},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.12336912751197815},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10098928213119507},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2018.8422709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2018.8422709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8399999737739563,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1563362697","https://openalex.org/W1966000877","https://openalex.org/W1983688269","https://openalex.org/W2015606516","https://openalex.org/W2032896960","https://openalex.org/W2055848163","https://openalex.org/W2058401212","https://openalex.org/W2058705882","https://openalex.org/W2061116708","https://openalex.org/W2094000142","https://openalex.org/W2115045262","https://openalex.org/W2477661227","https://openalex.org/W2512043328","https://openalex.org/W2520624197","https://openalex.org/W2587283502","https://openalex.org/W2601570742","https://openalex.org/W3099956636"],"related_works":["https://openalex.org/W2146680430","https://openalex.org/W2100999214","https://openalex.org/W1973317750","https://openalex.org/W1641214707","https://openalex.org/W2166688772","https://openalex.org/W2170880428","https://openalex.org/W2590769158","https://openalex.org/W2096957949","https://openalex.org/W1607978590","https://openalex.org/W2076800748"],"abstract_inverted_index":{"In":[0,124],"the":[1,15,36,54,87,91,104,125,143,146,155,167,191,195],"future,":[2],"sensor":[3,66,97,109],"nodes":[4,67,110,135],"or":[5,170],"Internet":[6],"of":[7,72,90,96],"Things":[8],"(IoTs)":[9],"will":[10],"be":[11,22,33,180],"tasked":[12],"with":[13,38],"sampling":[14,40,94,136,150,187],"environment.":[16],"These":[17],"nodes/devices":[18],"are":[19],"likely":[20],"to":[21,42,53,68,85,102,182],"powered":[23],"by":[24,35],"a":[25,39,82,129,139],"Hybrid":[26],"Access":[27],"Point":[28],"(HAP)":[29],"wirelessly,":[30],"and":[31,49,93,120,134,149,186],"may":[32],"programmed":[34],"HAP":[37,92,131],"time":[41,89,95,122,133,137,151],"collect":[43],"sensory":[44],"data,":[45],"carry":[46],"out":[47],"computation,":[48],"transmit":[50],"sensed":[51],"data":[52],"HAP.":[55],"A":[56],"key":[57],"challenge,":[58],"however,":[59],"is":[60,101],"random":[61],"channel":[62,163],"gains,":[63],"which":[64],"cause":[65],"receive":[69],"varying":[70],"amounts":[71],"Radio":[73],"Frequency":[74],"(RF)":[75],"energy.":[76],"To":[77],"this":[78],"end,":[79],"we":[80,127],"formulate":[81],"stochastic":[83,177],"program":[84,178],"determine":[86,128],"charging":[88,132,148,185],"nodes.":[98],"Our":[99],"objective":[100],"minimize":[103],"expected":[105],"penalty":[106,193],"incurred":[107],"when":[108],"experience":[111],"an":[112],"energy":[113],"shortfall.":[114],"We":[115,159],"consider":[116],"two":[117],"cases:":[118],"single":[119],"multi":[121],"slots.":[123,158],"former,":[126],"suitable":[130],"on":[138],"slot-by-slot":[140],"basis":[141],"whilst":[142],"latter":[144],"considers":[145],"best":[147],"for":[152],"use":[153],"in":[154],"next":[156],"T":[157],"conduct":[160],"experiments":[161],"over":[162,194],"gains":[164],"drawn":[165],"from":[166],"Gaussian,":[168],"Rayleigh":[169],"Rician":[171],"distribution.":[172],"Numerical":[173],"results":[174],"confirm":[175],"our":[176],"can":[179],"used":[181],"compute":[183],"good":[184],"times":[188],"that":[189],"incur":[190],"minimum":[192],"said":[196],"distributions.":[197]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
