{"id":"https://openalex.org/W3045277172","doi":"https://doi.org/10.1145/3405671.3405817","title":"An Adaptive Tree Algorithm to Approach Collision-Free Transmission in Slotted ALOHA","display_name":"An Adaptive Tree Algorithm to Approach Collision-Free Transmission in Slotted ALOHA","publication_year":2020,"publication_date":"2020-07-21","ids":{"openalex":"https://openalex.org/W3045277172","doi":"https://doi.org/10.1145/3405671.3405817","mag":"3045277172"},"language":"en","primary_location":{"id":"doi:10.1145/3405671.3405817","doi":"https://doi.org/10.1145/3405671.3405817","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3405671.3405817","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3405671.3405817","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Network Meets AI &amp; ML","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3405671.3405817","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Molly Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Molly Zhang","raw_affiliation_strings":["University of California, Santa Cruz"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050777140","display_name":"Luca de Alfaro","orcid":"https://orcid.org/0000-0003-3856-4576","observed_orcids":["https://orcid.org/0000-0003-3856-4576"]},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luca de Alfaro","raw_affiliation_strings":["University of California, Santa Cruz"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065935907","display_name":"Jose Joaquin Garcia-Luna-Aceves","orcid":"https://orcid.org/0000-0001-9914-6031","observed_orcids":["https://orcid.org/0000-0001-9914-6031"]},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. J. Garcia-Luna-Aceves","raw_affiliation_strings":["University of California, Santa Cruz"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185103710"],"apc_list":null,"apc_paid":null,"fwci":0.2097,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.33514046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"16","issue":null,"first_page":"56","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11158","display_name":"Wireless Networks and Protocols","score":0.9526000022888184,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9526000022888184,"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/T12079","display_name":"IoT Networks and Protocols","score":0.025299999862909317,"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":0.009999999776482582,"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/slotted-aloha","display_name":"slotted ALOHA","score":0.9559999704360962},{"id":"https://openalex.org/keywords/collision-free-transmission","display_name":"collision-free transmission","score":0.7120000123977661},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"reinforcement learning","score":0.9179999828338623},{"id":"https://openalex.org/keywords/transmission-scheduling","display_name":"transmission scheduling","score":0.6000000238418579},{"id":"https://openalex.org/keywords/throughput","display_name":"throughput","score":0.5389999747276306},{"id":"https://openalex.org/keywords/fairness","display_name":"fairness","score":0.9070000052452087},{"id":"https://openalex.org/keywords/tdma","display_name":"TDMA","score":0.7450000047683716},{"id":"https://openalex.org/keywords/exponential-backoff","display_name":"exponential backoff","score":0.7160000205039978}],"concepts":[{"id":"https://openalex.org/C2776398200","wikidata":"https://www.wikidata.org/wiki/Q508880","display_name":"Aloha","level":4,"score":0.9975293874740601},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003435134887695},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6709875464439392},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6367456316947937},{"id":"https://openalex.org/C117313154","wikidata":"https://www.wikidata.org/wiki/Q878344","display_name":"Time division multiple access","level":2,"score":0.6182504892349243},{"id":"https://openalex.org/C187077762","wikidata":"https://www.wikidata.org/wiki/Q5036976","display_name":"Capture effect","level":4,"score":0.5944737792015076},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5913446545600891},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5724501609802246},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.5334304571151733},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5198196172714233},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4833361804485321},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4209533631801605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13127008080482483},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.1264331340789795},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09526193141937256},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0688357949256897},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3405671.3405817","doi":"https://doi.org/10.1145/3405671.3405817","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3405671.3405817","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3405671.3405817","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Network Meets AI &amp; ML","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3405671.3405817","doi":"https://doi.org/10.1145/3405671.3405817","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3405671.3405817","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3405671.3405817","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Network Meets AI &amp; ML","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3045277172.pdf","grobid_xml":"https://content.openalex.org/works/W3045277172.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1771697193","https://openalex.org/W1923010990","https://openalex.org/W1969791930","https://openalex.org/W1970041563","https://openalex.org/W1979675141","https://openalex.org/W1981067005","https://openalex.org/W1988969816","https://openalex.org/W2002192224","https://openalex.org/W2034447447","https://openalex.org/W2046869717","https://openalex.org/W2051376838","https://openalex.org/W2103182676","https://openalex.org/W2108659721","https://openalex.org/W2111620924","https://openalex.org/W2114227245","https://openalex.org/W2116736083","https://openalex.org/W2117365084","https://openalex.org/W2127820195","https://openalex.org/W2133084187","https://openalex.org/W2145601483","https://openalex.org/W2156774506","https://openalex.org/W2725092554","https://openalex.org/W2786531552","https://openalex.org/W2922273628","https://openalex.org/W2951064681","https://openalex.org/W3014222795"],"related_works":["https://openalex.org/W6989009979","https://openalex.org/W3102518971","https://openalex.org/W3022975387","https://openalex.org/W4386868735","https://openalex.org/W4415979132","https://openalex.org/W3202515746","https://openalex.org/W4408207863","https://openalex.org/W3110351545","https://openalex.org/W2479297048","https://openalex.org/W3192248241"],"abstract_inverted_index":{"A":[0],"new":[1],"reinforcement-learning":[2],"approach":[3],"is":[4,46,56,97],"introduced":[5,47],"to":[6,30,37,64,85,99],"improve":[7],"the":[8,11,73,83],"performance":[9],"of":[10,75,79,93],"slotted":[12,106,115],"ALOHA":[13,107,116],"protocol.":[14],"Nodes":[15],"use":[16],"known":[17],"periodic":[18],"schedules":[19,66],"as":[20],"base":[21],"policies":[22],"with":[23,89,108,117],"which":[24,51],"they":[25],"can":[26],"collaboratively":[27],"learn":[28],"how":[29],"transmit":[31],"periodically":[32],"in":[33,53],"different":[34],"time":[35,94],"slots":[36],"limit":[38],"packet":[39],"collisions.":[40],"The":[41],"Adaptive":[42],"Tree":[43],"(AT)":[44],"algorithm":[45],"for":[48],"this":[49],"purpose,":[50],"results":[52],"AT-ALOHA.":[54],"It":[55],"shown":[57,98],"that":[58,67,72,78],"nodes":[59],"using":[60],"AT-ALOHA":[61,76,96],"quickly":[62],"converge":[63],"transmission":[65,87],"are":[68],"virtually":[69],"collision-free,":[70],"and":[71,103,112],"throughput":[74,102],"resembles":[77],"TDMA,":[80],"but":[81],"without":[82],"need":[84],"define":[86],"frames":[88],"a":[90],"given":[91],"number":[92],"slots.":[95],"attain":[100],"better":[101],"fairness":[104],"than":[105],"exponential":[109],"back":[110],"offs":[111],"ALOHA-Q":[113],"(framed":[114],"Q":[118],"learning).":[119]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2020-07-29T00:00:00"}
