{"id":"https://openalex.org/W4285813702","doi":"https://doi.org/10.1109/iwcmc55113.2022.9825428","title":"TDMA Frame Length Minimization by Deep Learning for Swarm Communication","display_name":"TDMA Frame Length Minimization by Deep Learning for Swarm Communication","publication_year":2022,"publication_date":"2022-05-30","ids":{"openalex":"https://openalex.org/W4285813702","doi":"https://doi.org/10.1109/iwcmc55113.2022.9825428"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc55113.2022.9825428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc55113.2022.9825428","pdf_url":null,"source":{"id":"https://openalex.org/S4363605313","display_name":"2022 International Wireless Communications and Mobile Computing (IWCMC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Wireless Communications and Mobile Computing (IWCMC)","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/A5052772410","display_name":"Kiril Danilchenko","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Kiril Danilchenko","raw_affiliation_strings":["School of Electrical and Computer Engineering, Ben-Gurion University of the Negev,Beer-Sheva,Israel","School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ben-Gurion University of the Negev,Beer-Sheva,Israel","institution_ids":["https://openalex.org/I124227911"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042337532","display_name":"Michael Segal","orcid":"https://orcid.org/0000-0001-7606-6522"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Michael Segal","raw_affiliation_strings":["School of Electrical and Computer Engineering, Ben-Gurion University of the Negev,Beer-Sheva,Israel","School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ben-Gurion University of the Negev,Beer-Sheva,Israel","institution_ids":["https://openalex.org/I124227911"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052772410"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":null,"apc_paid":null,"fwci":0.2774,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.37837285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"617","last_page":"622"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11133","display_name":"UAV Applications and Optimization","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9994999766349792,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/time-division-multiple-access","display_name":"Time division multiple access","score":0.8582010865211487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7617637515068054},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.6531312465667725},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6259729862213135},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.604347825050354},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.601047158241272},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5860308408737183},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5464159846305847},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5259742140769958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.372644305229187},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.28965792059898376}],"concepts":[{"id":"https://openalex.org/C117313154","wikidata":"https://www.wikidata.org/wiki/Q878344","display_name":"Time division multiple access","level":2,"score":0.8582010865211487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7617637515068054},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.6531312465667725},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6259729862213135},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.604347825050354},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.601047158241272},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5860308408737183},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5464159846305847},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5259742140769958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.372644305229187},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.28965792059898376},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc55113.2022.9825428","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc55113.2022.9825428","pdf_url":null,"source":{"id":"https://openalex.org/S4363605313","display_name":"2022 International Wireless Communications and Mobile Computing (IWCMC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325704","display_name":"PAZY Foundation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W887721690","https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W2037774950","https://openalex.org/W2155730370","https://openalex.org/W2171074980","https://openalex.org/W2296444900","https://openalex.org/W2616867685","https://openalex.org/W2745254363","https://openalex.org/W2885828982","https://openalex.org/W2887286578","https://openalex.org/W2921224230","https://openalex.org/W2948618617","https://openalex.org/W3190006346","https://openalex.org/W6631190155","https://openalex.org/W6637242042"],"related_works":["https://openalex.org/W2160222453","https://openalex.org/W2121800375","https://openalex.org/W2362971132","https://openalex.org/W2020063395","https://openalex.org/W4288714711","https://openalex.org/W2371687215","https://openalex.org/W3200708550","https://openalex.org/W1521875845","https://openalex.org/W2736680465","https://openalex.org/W1967958706"],"abstract_inverted_index":{"In":[0],"this":[1,22],"study,":[2],"we":[3,84],"consider":[4],"a":[5,35,46],"scenario":[6],"where":[7],"Unmanned":[8],"Aerial":[9],"Vehicles":[10],"are":[11],"deployed":[12],"in":[13,18],"an":[14],"area":[15],"of":[16,109,140],"interest":[17],"order":[19],"to":[20,44,81,86,89,100,105],"monitor":[21],"area,":[23],"and":[24,66,142],"the":[25,30,53,67,71,77,107,111,116,121,127],"data":[26],"gathering":[27],"process":[28],"following":[29],"monitoring":[31],"is":[32,43,79,99],"applied":[33],"towards":[34],"central":[36],"UAV":[37],"(sink)":[38],"for":[39,115],"analysis.":[40],"Our":[41,96],"objective":[42],"find":[45],"minimum-length":[47],"TDMA":[48,117,122],"schedule":[49],"by":[50,126],"jointly":[51],"determining":[52],"scheduled":[54],"concurrent":[55],"links":[56],"at":[57],"each":[58],"slot,":[59],"along":[60],"with":[61],"their":[62],"used":[63],"power":[64],"levels":[65],"established":[68],"routes":[69],"toward":[70],"sink,":[72],"under":[73],"SINR":[74],"requirements.":[75],"Since":[76],"problem":[78],"known":[80],"be":[82],"NP-hard,":[83],"aim":[85],"provide":[87],"solutions":[88],"real-world":[90],"situations":[91],"using":[92],"efficient":[93],"heuristic":[94],"approach.":[95],"research":[97],"goal":[98],"use":[101],"deep":[102,128],"neural":[103,129],"network":[104,130],"approximate":[106],"solution":[108],"finding":[110],"minimum":[112],"frame":[113,123],"length":[114,124],"frame.":[118],"We":[119,134],"propose":[120],"minimization":[125],"approach":[131],"(named":[132],"MTFLet).":[133],"have":[135],"performed":[136],"extensive":[137],"experimental":[138],"evaluations":[139],"MTFLet":[141,146],"simulations":[143],"showing":[144],"that":[145],"outperforms":[147],"other":[148],"state-of-art":[149],"methods.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}