{"id":"https://openalex.org/W2887613427","doi":"https://doi.org/10.1109/icc.2018.8422177","title":"A Distributed Algorithm: Minimum-Latency Collision-Avoidance Multiple-Data-Aggregation Scheduling in Multi-Channel WSNs","display_name":"A Distributed Algorithm: Minimum-Latency Collision-Avoidance Multiple-Data-Aggregation Scheduling in Multi-Channel WSNs","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2887613427","doi":"https://doi.org/10.1109/icc.2018.8422177","mag":"2887613427"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2018.8422177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2018.8422177","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/A5066987043","display_name":"Tu N. Nguyen","orcid":"https://orcid.org/0000-0001-7184-4102"},"institutions":[{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ngoc-Tu Nguyen","raw_affiliation_strings":["Department of Computer Science & Engineering, Twin Cities Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Twin Cities Minneapolis, MN, USA","institution_ids":["https://openalex.org/I4210101327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040230347","display_name":"Bing-Hong Liu","orcid":"https://orcid.org/0000-0001-9267-0447"},"institutions":[{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bing-Hong Liu","raw_affiliation_strings":["Department of Computer Science & Engineering, Twin Cities Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Twin Cities Minneapolis, MN, USA","institution_ids":["https://openalex.org/I4210101327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008147868","display_name":"Hao-Zhe Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao-Zhe Weng","raw_affiliation_strings":["Department of Computer Science & Engineering, Twin Cities Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Twin Cities Minneapolis, MN, USA","institution_ids":["https://openalex.org/I4210101327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066987043"],"corresponding_institution_ids":["https://openalex.org/I4210101327"],"apc_list":null,"apc_paid":null,"fwci":4.4288,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95022674,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9998999834060669,"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/T10246","display_name":"Mobile Ad Hoc Networks","score":0.9987999796867371,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9966999888420105,"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":0.7827695608139038},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7290089726448059},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6638221740722656},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6526769399642944},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.6166319847106934},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.603349506855011},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.5830674767494202},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5780097246170044},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.46445274353027344},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4630371034145355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4152931869029999},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33997035026550293},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.1157972514629364},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08325690031051636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7827695608139038},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7290089726448059},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6638221740722656},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6526769399642944},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.6166319847106934},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.603349506855011},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.5830674767494202},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5780097246170044},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.46445274353027344},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4630371034145355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4152931869029999},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33997035026550293},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.1157972514629364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08325690031051636},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2018.8422177","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2018.8422177","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2037010677","https://openalex.org/W2054671032","https://openalex.org/W2063572899","https://openalex.org/W2120462722","https://openalex.org/W2417994021","https://openalex.org/W2760234120","https://openalex.org/W6744716818"],"related_works":["https://openalex.org/W2160425906","https://openalex.org/W2078600672","https://openalex.org/W1882733036","https://openalex.org/W2418680114","https://openalex.org/W2546696010","https://openalex.org/W1992741870","https://openalex.org/W185677139","https://openalex.org/W2740520718","https://openalex.org/W2292948420","https://openalex.org/W1955331654"],"abstract_inverted_index":{"There":[0],"is":[1,41,50,105,176],"much":[2],"effort":[3],"which":[4,46],"aimed":[5],"at":[6],"the":[7,15,27,39,47,70,81,129,135,142,146,153,156,170,180,189],"data":[8,31,68,115,136,139],"collection":[9,32],"scheduling":[10,160,173],"algorithm":[11],"development":[12],"to":[13,74,97,107,118,150,178,187],"minimize":[14],"latency":[16,29,133],"in":[17,45,69,91,141],"wireless":[18],"sensor":[19],"networks":[20],"(WSNs).":[21],"Most":[22],"of":[23,30,56,61,114,131,191],"previous":[24],"works":[25,63],"investigating":[26],"minimum":[28,132],"issue":[33],"have":[34],"an":[35],"ideal":[36],"assumption":[37],"that":[38,66],"network":[40,49,71,82],"a":[42,111],"centralized":[43],"system,":[44],"entire":[48],"completely":[51],"synchronized":[52],"with":[53,161],"full":[54],"knowledge":[55,104],"components.":[57],"In":[58,124],"addition,":[59],"most":[60],"existing":[62],"often":[64,85],"assume":[65],"any":[67],"are":[72,84,94,116,148],"allowed":[73,117],"be":[75,98,119,151],"aggregated":[76,120],"into":[77,121],"one":[78,122],"packet":[79],"and":[80,110],"models":[83],"treated":[86],"as":[87],"tree":[88],"structures.":[89],"However,":[90],"practical,":[92],"WSNs":[93,144],"more":[95],"likely":[96],"distributed":[99,143,167,171],"systems,":[100],"since":[101],"each":[102,108],"sensor's":[103],"disjointed":[106],"other,":[109],"fixed":[112],"number":[113],"packet.":[123],"this":[125],"paper,":[126],"we":[127,183],"investigate":[128],"problem":[130],"for":[134],"aggregation":[137],"without":[138],"collision":[140],"when":[145],"sensors":[147],"considered":[149],"assigned":[152],"channels,":[154],"termed":[155,169],"minimum-latency":[157],"collision-avoidance":[158,172],"multiple-data-aggregation":[159],"multi-channel":[162],"(MLCAMDAS-MC)":[163],"problem.":[164],"A":[165],"new":[166],"algorithm,":[168,175],"(DCAS)":[174],"proposed":[177],"address":[179],"MLCAMDAS-MC.":[181],"Finally,":[182],"conduct":[184],"extensive":[185],"simulations":[186],"demonstrate":[188],"performance":[190],"DCAS.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":21},{"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"}
