{"id":"https://openalex.org/W4220747711","doi":"https://doi.org/10.1145/3469034","title":"AI-Based Efficient WUGS Network Channel Modeling and Clustered Cooperative Communication","display_name":"AI-Based Efficient WUGS Network Channel Modeling and Clustered Cooperative Communication","publication_year":2022,"publication_date":"2022-03-09","ids":{"openalex":"https://openalex.org/W4220747711","doi":"https://doi.org/10.1145/3469034"},"language":"en","primary_location":{"id":"doi:10.1145/3469034","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469034","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","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/A5050658505","display_name":"R. Kanthavel","orcid":"https://orcid.org/0000-0001-5537-2571"},"institutions":[{"id":"https://openalex.org/I82952536","display_name":"King Khalid University","ror":"https://ror.org/052kwzs30","country_code":"SA","type":"education","lineage":["https://openalex.org/I82952536"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Kanthavel R","raw_affiliation_strings":["Department of Computer Engineering, College of Computer Science, King Khalid University, Abha, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-5537-2571","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, College of Computer Science, King Khalid University, Abha, Saudi Arabia","institution_ids":["https://openalex.org/I82952536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112300351","display_name":"R. Dhaya","orcid":"https://orcid.org/0000-0002-3599-7272"},"institutions":[{"id":"https://openalex.org/I82952536","display_name":"King Khalid University","ror":"https://ror.org/052kwzs30","country_code":"SA","type":"education","lineage":["https://openalex.org/I82952536"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Dhaya R","raw_affiliation_strings":["Department of Computer Science, College of Arts and Science, Sarat Abidha, King Khalid University, Abha, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0002-3599-7272","affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Arts and Science, Sarat Abidha, King Khalid University, Abha, Saudi Arabia","institution_ids":["https://openalex.org/I82952536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042490914","display_name":"A Ahilan","orcid":null},"institutions":[{"id":"https://openalex.org/I33585257","display_name":"Anna University, Chennai","ror":"https://ror.org/01qhf1r47","country_code":"IN","type":"education","lineage":["https://openalex.org/I33585257"]},{"id":"https://openalex.org/I4210101467","display_name":"Infant","ror":"https://ror.org/00men8398","country_code":"IE","type":"facility","lineage":["https://openalex.org/I4210101467"]}],"countries":["IE","IN"],"is_corresponding":false,"raw_author_name":"Ahilan A","raw_affiliation_strings":["Department of ECE, Infant Jesus College of Engineering, Anna University, Chennai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, Infant Jesus College of Engineering, Anna University, Chennai","institution_ids":["https://openalex.org/I33585257","https://openalex.org/I4210101467"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5731,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.79703765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"18","issue":"3","first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9965000152587891,"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":0.9940000176429749,"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":0.7498334050178528},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6604588031768799},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6346496939659119},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5870449542999268},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5764392614364624},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5011739730834961},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.49327415227890015},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.48951780796051025},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4812643229961395},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.47745516896247864},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.317762553691864},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19446474313735962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13122418522834778},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12301164865493774}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7498334050178528},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6604588031768799},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6346496939659119},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5870449542999268},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5764392614364624},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5011739730834961},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.49327415227890015},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.48951780796051025},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4812643229961395},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.47745516896247864},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.317762553691864},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19446474313735962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13122418522834778},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12301164865493774},{"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},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3469034","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469034","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1981157266","https://openalex.org/W2038332364","https://openalex.org/W2050720710","https://openalex.org/W2133747552","https://openalex.org/W2160634460","https://openalex.org/W2163658589","https://openalex.org/W2461157677","https://openalex.org/W2522354676","https://openalex.org/W2565473978","https://openalex.org/W2622374419","https://openalex.org/W2769598732","https://openalex.org/W2898918807","https://openalex.org/W2913367076","https://openalex.org/W2943986432","https://openalex.org/W2998959569","https://openalex.org/W3091909306"],"related_works":["https://openalex.org/W2136583354","https://openalex.org/W2111238207","https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2760721665","https://openalex.org/W2090259340","https://openalex.org/W1975451135","https://openalex.org/W3136989197"],"abstract_inverted_index":{"Wireless":[0],"underground":[1,18,72],"sensor":[2,7,40],"networks":[3,9],"(WUSNs)":[4],"are":[5],"sub-ground-surface":[6],"node":[8],"designed":[10],"to":[11,86,103,124],"establish":[12],"real-time":[13],"tracking":[14],"capacities":[15],"in":[16,49,66,203],"diverse":[17],"ecosystems":[19],"composed":[20],"of":[21,45,70,79,130,148,188,211],"soil,":[22],"water,":[23,54],"oil,":[24,55],"and":[25,37,56,90,114,145,161,181,196,214],"other":[26,57],"materials.":[27],"The":[28,42,127,186],"contact":[29],"medium":[30],"is":[31,84,101,134,157,192],"the":[32,71,77,81,88,92,105,109,117,119,125,131,149,153,170,176,189,200,204,207,212],"key":[33],"distinction":[34],"between":[35,64],"USNs":[36],"terrestrial":[38],"wireless":[39,73],"networks.":[41],"communication":[43],"properties":[44],"electromagnetic":[46],"(EM)":[47],"waves":[48],"underwater":[50],"resources":[51],"like":[52],"mud,":[53],"materials,":[58],"as":[59,61,140],"well":[60],"major":[62],"variations":[63],"propagation":[65],"air,":[67],"make":[68],"classification":[69],"channel":[74,106,143],"difficult.":[75],"From":[76,152],"transmission":[78],"data,":[80],"channels":[82],"modelling":[83],"involved":[85],"remove":[87],"noise":[89],"reduce":[91],"energy.":[93],"After":[94],"that":[95,159],"Multi-driven":[96],"Clustering":[97],"Algorithm":[98],"(MCA)":[99],"method":[100,111,133,173,191],"used":[102],"cluster":[104],"based":[107],"on":[108],"EDT":[110],"(Energy,":[112],"Distance,":[113],"Time).":[115],"Completing":[116],"transmission,":[118],"data":[120,150],"can":[121,166],"be":[122,167],"transmitted":[123],"destination.":[126],"experimental":[128,154],"portion":[129],"proposed":[132,171,190],"analyzed":[135],"by":[136],"varying":[137],"parameters":[138],"such":[139],"energy,":[141],"throughput,":[142],"response,":[144],"time":[146,201],"duration":[147],"transmission.":[151],"analysis,":[155],"it":[156],"observed":[158],"55%":[160],"45%":[162,195],"more":[163],"energy":[164],"levels":[165],"saved":[168],"with":[169,175,194],"MCA":[172],"than":[174],"LEACH":[177,213],"methods":[178],"for":[179,209],"DR":[180],"SW":[182],"media":[183],"methods,":[184,216],"respectively.":[185],"throughput":[187],"proven":[193],"42%":[197],"improvement":[198],"over":[199],"horizon":[202],"median":[205],"under":[206],"frequency":[208],"soil":[210],"LEACH-CO2":[215],"correspondingly.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}