{"id":"https://openalex.org/W4391384555","doi":"https://doi.org/10.3390/bdcc8020015","title":"A Simultaneous Wireless Information and Power Transfer-Based Multi-Hop Uneven Clustering Routing Protocol for EH-Cognitive Radio Sensor Networks","display_name":"A Simultaneous Wireless Information and Power Transfer-Based Multi-Hop Uneven Clustering Routing Protocol for EH-Cognitive Radio Sensor Networks","publication_year":2024,"publication_date":"2024-01-31","ids":{"openalex":"https://openalex.org/W4391384555","doi":"https://doi.org/10.3390/bdcc8020015"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc8020015","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc8020015","pdf_url":"https://www.mdpi.com/2504-2289/8/2/15/pdf?version=1706697257","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/8/2/15/pdf?version=1706697257","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100669499","display_name":"Jihong Wang","orcid":"https://orcid.org/0000-0001-7847-460X"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jihong Wang","raw_affiliation_strings":["School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101504152","display_name":"Zhuo Wang","orcid":"https://orcid.org/0000-0002-0666-3724"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Wang","raw_affiliation_strings":["School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101829223","display_name":"Lidong Zhang","orcid":"https://orcid.org/0009-0005-0221-4410"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lidong Zhang","raw_affiliation_strings":["School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China","institution_ids":["https://openalex.org/I179060312"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100669499"],"corresponding_institution_ids":["https://openalex.org/I179060312"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":2.4342,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88739617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"8","issue":"2","first_page":"15","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9990000128746033,"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/T10579","display_name":"Cognitive Radio Networks and Spectrum Sensing","score":0.9908999800682068,"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/cognitive-radio","display_name":"Cognitive radio","score":0.7118882536888123},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6986063718795776},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6694614887237549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6114689707756042},{"id":"https://openalex.org/keywords/routing-protocol","display_name":"Routing protocol","score":0.5947673320770264},{"id":"https://openalex.org/keywords/hop","display_name":"Hop (telecommunications)","score":0.5358605980873108},{"id":"https://openalex.org/keywords/wireless-routing-protocol","display_name":"Wireless Routing Protocol","score":0.5239565372467041},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5185188055038452},{"id":"https://openalex.org/keywords/zone-routing-protocol","display_name":"Zone Routing Protocol","score":0.46376582980155945},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3805564045906067},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.2575766444206238},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16031008958816528},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10817599296569824}],"concepts":[{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.7118882536888123},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6986063718795776},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6694614887237549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6114689707756042},{"id":"https://openalex.org/C104954878","wikidata":"https://www.wikidata.org/wiki/Q1648707","display_name":"Routing protocol","level":3,"score":0.5947673320770264},{"id":"https://openalex.org/C25906391","wikidata":"https://www.wikidata.org/wiki/Q1432381","display_name":"Hop (telecommunications)","level":2,"score":0.5358605980873108},{"id":"https://openalex.org/C47318570","wikidata":"https://www.wikidata.org/wiki/Q8026863","display_name":"Wireless Routing Protocol","level":4,"score":0.5239565372467041},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5185188055038452},{"id":"https://openalex.org/C189884158","wikidata":"https://www.wikidata.org/wiki/Q8073926","display_name":"Zone Routing Protocol","level":5,"score":0.46376582980155945},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3805564045906067},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.2575766444206238},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16031008958816528},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10817599296569824}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/bdcc8020015","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc8020015","pdf_url":"https://www.mdpi.com/2504-2289/8/2/15/pdf?version=1706697257","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e06dc2abb6024c8680ca96e654bb5480","is_oa":true,"landing_page_url":"https://doaj.org/article/e06dc2abb6024c8680ca96e654bb5480","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 8, Iss 2, p 15 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc8020015","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc8020015","pdf_url":"https://www.mdpi.com/2504-2289/8/2/15/pdf?version=1706697257","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2138768882","display_name":null,"funder_award_id":"61901102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391384555.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1028253918","https://openalex.org/W2026212694","https://openalex.org/W2047713188","https://openalex.org/W2070291375","https://openalex.org/W2077424040","https://openalex.org/W2095871321","https://openalex.org/W2104846640","https://openalex.org/W2158077805","https://openalex.org/W2184253632","https://openalex.org/W2213380421","https://openalex.org/W2436327638","https://openalex.org/W2507493185","https://openalex.org/W2523608707","https://openalex.org/W2579763471","https://openalex.org/W2782600720","https://openalex.org/W2884340696","https://openalex.org/W2884387571","https://openalex.org/W2914337503","https://openalex.org/W2954447101","https://openalex.org/W2962707425","https://openalex.org/W2964338404","https://openalex.org/W2983914176","https://openalex.org/W2990077562","https://openalex.org/W3036785262","https://openalex.org/W3094604030","https://openalex.org/W3096398821","https://openalex.org/W3129381394","https://openalex.org/W3158422512","https://openalex.org/W4214822098","https://openalex.org/W4313546749","https://openalex.org/W4366967436","https://openalex.org/W4386078165","https://openalex.org/W4387188573","https://openalex.org/W4387872076","https://openalex.org/W6727326300"],"related_works":["https://openalex.org/W2126842185","https://openalex.org/W2546592407","https://openalex.org/W2011277702","https://openalex.org/W1593279778","https://openalex.org/W3022598921","https://openalex.org/W2544170366","https://openalex.org/W1972673736","https://openalex.org/W3192945866","https://openalex.org/W2035482066","https://openalex.org/W1680412704"],"abstract_inverted_index":{"Clustering":[0],"protocols":[1,43],"and":[2,6,35,51,95,110,121,189],"simultaneous":[3],"wireless":[4],"information":[5,97],"power":[7],"transfer":[8,116],"(SWIPT)":[9],"technology":[10,66],"can":[11],"solve":[12],"the":[13,47,81,102,118,130,162,170,177,182],"issue":[14],"of":[15,49,169,184],"imbalanced":[16],"energy":[17,22,30,73,83,132,140,151,154,163,185],"consumption":[18,186],"among":[19,187],"nodes":[20,188],"in":[21,67,85],"harvesting-cognitive":[23],"radio":[24],"sensor":[25],"networks":[26],"(EH-CRSNs).":[27],"However,":[28],"dynamic":[29,36,82,90],"changes":[31],"caused":[32,165],"by":[33,166],"EH/SWIPT":[34],"spectrum":[37,91],"availability":[38],"prevent":[39],"existing":[40,197],"clustering":[41,57,198],"routing":[42,58,199],"from":[44],"fully":[45],"leveraging":[46],"advantages":[48],"EH":[50],"SWIPT.":[52],"Therefore,":[53],"a":[54],"multi-hop":[55],"uneven":[56],"protocol":[59,179],"is":[60,76,158],"proposed":[61,77,178],"for":[62,104,129,134],"EH-CRSNs":[63],"utilizing":[64],"SWIPT":[65,123,171],"this":[68,88],"paper.":[69],"Specifically,":[70],"an":[71],"EH-based":[72],"state":[74],"function":[75],"to":[78,100,117,127,150,160,196],"accurately":[79],"track":[80],"variations":[84],"nodes.":[86],"Utilizing":[87],"function,":[89],"availability,":[92],"neighbor":[93],"count,":[94],"other":[96],"are":[98,125],"integrated":[99],"design":[101],"criteria":[103],"selecting":[105],"high-quality":[106],"cluster":[107],"heads":[108],"(CHs)":[109],"relays,":[111],"thereby":[112,144],"facilitating":[113],"effective":[114],"data":[115,146],"sink.":[119],"Intra-cluster":[120],"inter-cluster":[122],"mechanisms":[124],"incorporated":[126],"allow":[128],"immediate":[131],"replenishment":[133],"CHs":[135],"or":[136],"relays":[137],"with":[138],"insufficient":[139],"while":[141],"transmitting":[142],"data,":[143],"preventing":[145],"transmission":[147],"failures":[148],"due":[149],"depletion.":[152],"An":[153],"status":[155],"control":[156],"mechanism":[157],"introduced":[159],"avoid":[161],"waste":[164],"excessive":[167],"activation":[168],"mechanism.":[172],"Simulation":[173],"results":[174],"indicate":[175],"that":[176],"markedly":[180],"improves":[181],"balance":[183],"enhances":[190],"network":[191],"surveillance":[192],"capabilities":[193],"when":[194],"compared":[195],"protocols.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}