{"id":"https://openalex.org/W3138478953","doi":"https://doi.org/10.1109/ccnc49032.2021.9369509","title":"Applying Q-learning approach to CSMA Scheme to dynamically tune the contention probability","display_name":"Applying Q-learning approach to CSMA Scheme to dynamically tune the contention probability","publication_year":2021,"publication_date":"2021-01-09","ids":{"openalex":"https://openalex.org/W3138478953","doi":"https://doi.org/10.1109/ccnc49032.2021.9369509","mag":"3138478953"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc49032.2021.9369509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc49032.2021.9369509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th Annual Consumer Communications &amp; Networking Conference (CCNC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5075581736","display_name":"Floriano De Rango","orcid":"https://orcid.org/0000-0003-4901-6233"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Floriano De Rango","raw_affiliation_strings":["DIMES Dept., University of Calabria, Rende, CS, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIMES Dept., University of Calabria, Rende, CS, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041377098","display_name":"Nicola Cordeschi","orcid":"https://orcid.org/0000-0003-2021-835X"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Cordeschi","raw_affiliation_strings":["DIMES Dept., University of Calabria, Rende, CS, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIMES Dept., University of Calabria, Rende, CS, Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037481939","display_name":"Francesco Ritacco","orcid":null},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Ritacco","raw_affiliation_strings":["DIMES Dept., University of Calabria, Rende, CS, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DIMES Dept., University of Calabria, Rende, CS, Italy","institution_ids":["https://openalex.org/I45204951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45204951"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9980999827384949,"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":0.9980999827384949,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9980000257492065,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7541124820709229},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6434220671653748},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6030340790748596},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5262529253959656},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5171679854393005},{"id":"https://openalex.org/keywords/carrier-sense-multiple-access-with-collision-avoidance","display_name":"Carrier sense multiple access with collision avoidance","score":0.45979544520378113},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4314887523651123},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3607131242752075},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.27959179878234863},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12251606583595276},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.0977180004119873}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541124820709229},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6434220671653748},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6030340790748596},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5262529253959656},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5171679854393005},{"id":"https://openalex.org/C59229178","wikidata":"https://www.wikidata.org/wiki/Q944633","display_name":"Carrier sense multiple access with collision avoidance","level":4,"score":0.45979544520378113},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4314887523651123},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3607131242752075},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.27959179878234863},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12251606583595276},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0977180004119873},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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:10.1109/ccnc49032.2021.9369509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc49032.2021.9369509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 18th Annual Consumer Communications &amp; Networking Conference (CCNC)","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":22,"referenced_works":["https://openalex.org/W627715957","https://openalex.org/W773471618","https://openalex.org/W1515851193","https://openalex.org/W1537915919","https://openalex.org/W1570476060","https://openalex.org/W1974675259","https://openalex.org/W1977744663","https://openalex.org/W2068655591","https://openalex.org/W2089251944","https://openalex.org/W2095475550","https://openalex.org/W2108374714","https://openalex.org/W2123117904","https://openalex.org/W2124814526","https://openalex.org/W2141351680","https://openalex.org/W2467379878","https://openalex.org/W2611350950","https://openalex.org/W2746983803","https://openalex.org/W2761473792","https://openalex.org/W2903314241","https://openalex.org/W2950863887","https://openalex.org/W6644872824","https://openalex.org/W6673161362"],"related_works":["https://openalex.org/W2235934341","https://openalex.org/W1975289146","https://openalex.org/W2770593030","https://openalex.org/W2125589371","https://openalex.org/W2241618635","https://openalex.org/W4281727072","https://openalex.org/W2560201613","https://openalex.org/W3154990682","https://openalex.org/W2171975302","https://openalex.org/W2022352247"],"abstract_inverted_index":{"Many":[0],"CSMA":[1,86,105,115],"based":[2,40,64],"MACs":[3],"can":[4],"abruptly":[5],"degrade":[6],"their":[7,50],"performance":[8],"when":[9],"the":[10,18,25,31,66,80,89,95],"optimized":[11],"design":[12],"parameters":[13],"do":[14],"not":[15],"fit":[16],"with":[17,102],"considered":[19],"scenarios.":[20],"The":[21],"main":[22],"issue":[23],"is":[24,75],"lack":[26],"of":[27,30,91],"optimal":[28,103],"adaptation":[29],"MAC":[32,62],"strategies":[33],"to":[34,52,77,87],"dynamic":[35,53],"network":[36,54],"conditions.":[37,55],"Novel":[38],"approaches":[39],"on":[41,65],"learning,":[42],"deep-learning,":[43],"nature-inspired":[44],"learning":[45],"are":[46],"gaining":[47],"interest":[48],"for":[49],"robustness":[51],"In":[56],"this":[57],"paper,":[58],"a":[59,84,113],"simple":[60],"adaptive":[61],"strategy":[63],"Q-learning":[67],"has":[68,99],"been":[69,100],"proposed.":[70],"Our":[71],"proposal,":[72],"called":[73],"Q-CSMA,":[74],"able":[76],"dynamically":[78],"tune":[79],"contention":[81],"probability":[82],"in":[83],"slotted":[85],"decrease":[88],"number":[90],"collisions,":[92],"also":[93],"reducing":[94],"packet":[96],"latency.":[97],"Q-CSMA":[98],"compared":[101],"p-persistent":[104],"(p-pers-CSMA/":[106],"p":[107],"<sup":[108],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[109],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">*</sup>":[110],")":[111],"and":[112],"sift-based":[114],"(sift-CSMA).":[116]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
