{"id":"https://openalex.org/W4200289854","doi":"https://doi.org/10.1109/icnp52444.2021.9651923","title":"Chimera: exploiting UAS flight path information to optimize heterogeneous data transmission","display_name":"Chimera: exploiting UAS flight path information to optimize heterogeneous data transmission","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W4200289854","doi":"https://doi.org/10.1109/icnp52444.2021.9651923"},"language":"en","primary_location":{"id":"doi:10.1109/icnp52444.2021.9651923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp52444.2021.9651923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 29th International Conference on Network Protocols (ICNP)","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/A5073234028","display_name":"Russell Shirey","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Russell Shirey","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073265856","display_name":"Sanjay Rao","orcid":"https://orcid.org/0000-0003-4825-4352"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanjay Rao","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076731201","display_name":"Shreyas Sundaram","orcid":"https://orcid.org/0000-0002-5390-2505"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shreyas Sundaram","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8322,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78429319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9950000047683716,"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"}},{"id":"https://openalex.org/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9884999990463257,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7823818922042847},{"id":"https://openalex.org/keywords/emulation","display_name":"Emulation","score":0.615990400314331},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5986291170120239},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5909398794174194},{"id":"https://openalex.org/keywords/chimera","display_name":"Chimera (genetics)","score":0.45947685837745667},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.42832285165786743},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3271424174308777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32539305090904236},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1979212462902069},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10484504699707031}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7823818922042847},{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.615990400314331},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5986291170120239},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5909398794174194},{"id":"https://openalex.org/C30278631","wikidata":"https://www.wikidata.org/wiki/Q281721","display_name":"Chimera (genetics)","level":3,"score":0.45947685837745667},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.42832285165786743},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3271424174308777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32539305090904236},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1979212462902069},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10484504699707031},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnp52444.2021.9651923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp52444.2021.9651923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 29th International Conference on Network Protocols (ICNP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1501676610","https://openalex.org/W1657821752","https://openalex.org/W1772688858","https://openalex.org/W1922596480","https://openalex.org/W1975658259","https://openalex.org/W1976944900","https://openalex.org/W1992555904","https://openalex.org/W2015522502","https://openalex.org/W2028111202","https://openalex.org/W2028721241","https://openalex.org/W2052525433","https://openalex.org/W2066435193","https://openalex.org/W2067040941","https://openalex.org/W2079299474","https://openalex.org/W2185516019","https://openalex.org/W2482797934","https://openalex.org/W2515158352","https://openalex.org/W2522615148","https://openalex.org/W2525788665","https://openalex.org/W2610247508","https://openalex.org/W2734656253","https://openalex.org/W2740005962","https://openalex.org/W2744417898","https://openalex.org/W2744628735","https://openalex.org/W2783057440","https://openalex.org/W2793263498","https://openalex.org/W2798388120","https://openalex.org/W2809085537","https://openalex.org/W2849781392","https://openalex.org/W2863402227","https://openalex.org/W2892645729","https://openalex.org/W2898004290","https://openalex.org/W2952841640","https://openalex.org/W2962691117","https://openalex.org/W2962709914","https://openalex.org/W2963191323","https://openalex.org/W2964010262","https://openalex.org/W2967512620","https://openalex.org/W2972581989","https://openalex.org/W2982606477","https://openalex.org/W2984943907","https://openalex.org/W2987343646","https://openalex.org/W2994008524","https://openalex.org/W3003452346","https://openalex.org/W3010653336","https://openalex.org/W3033864048","https://openalex.org/W3156256618","https://openalex.org/W3198248101","https://openalex.org/W4213147678","https://openalex.org/W4231829308","https://openalex.org/W4301420317","https://openalex.org/W6638163082","https://openalex.org/W6736931030","https://openalex.org/W6740091713","https://openalex.org/W6751151089","https://openalex.org/W6774292436"],"related_works":["https://openalex.org/W1982059157","https://openalex.org/W2105508921","https://openalex.org/W641208093","https://openalex.org/W2156269510","https://openalex.org/W3017054987","https://openalex.org/W4238568346","https://openalex.org/W2113262440","https://openalex.org/W2393564139","https://openalex.org/W2901698948","https://openalex.org/W4200289854"],"abstract_inverted_index":{"Unmanned":[0],"Aerial":[1],"Systems":[2],"(UAS)":[3],"collect":[4],"and":[5,12,19,101,123,154],"transmit":[6],"data":[7,56,82],"such":[8],"as":[9],"live":[10],"video":[11],"radar":[13,141,178],"images,":[14],"which":[15],"have":[16],"different":[17],"latency":[18],"reliability":[20],"requirements,":[21],"over":[22,84],"wireless":[23],"links":[24],"that":[25,49,74,92,109,166],"exhibit":[26],"much":[27],"performance":[28],"variability.":[29],"In":[30],"this":[31,77],"paper,":[32],"we":[33,38,69,130],"make":[34],"three":[35],"contributions.":[36],"First,":[37],"show":[39,131],"through":[40],"a":[41,72,89,106,119,174],"characterization":[42],"of":[43,64,121,159],"two":[44],"real-world":[45,127],"UAS":[46,59,65,85,94],"flight":[47,66,99,128,151],"datasets":[48],"there":[50],"is":[51],"significant":[52],"opportunity":[53,78],"to":[54,97,139,146,150,162],"optimize":[55],"transmission":[57],"in":[58,177],"settings":[60],"by":[61,143],"exploiting":[62],"knowledge":[63],"paths.":[67],"Second,":[68],"developed":[70],"Chimera,":[71],"system":[73],"taps":[75],"into":[76],"while":[79],"transmitting":[80],"heterogeneous":[81],"streams":[83],"networks.":[86],"Chimera":[87,135],"learns":[88],"model":[90,104],"online":[91],"relates":[93],"network":[95],"throughput":[96,115],"the":[98,103,168],"path,":[100],"combines":[102],"with":[105,118,172],"control":[107],"framework":[108],"optimizes":[110],"transmissions":[111],"based":[112],"on":[113],"long-range":[114],"prediction.":[116],"Third,":[117],"combination":[120],"emulation":[122],"simulation":[124],"experiments":[125],"using":[126],"traces,":[129],"Chimera&#x2019;s":[132],"effectiveness.":[133],"Specifically,":[134],"reduces":[136],"penalties":[137],"related":[138],"dropped":[140],"images":[142,179],"72.4%&#x2212;100%":[144],"compared":[145,161],"an":[147,156,163],"algorithm":[148],"agnostic":[149],"path":[152],"information,":[153],"achieves":[155],"average":[157],"bitrate":[158],"90.5%":[160],"optimal":[164],"scheme":[165],"knows":[167],"exact":[169],"future":[170],"throughput,":[171],"only":[173],"minimal":[175],"increase":[176],"dropped.":[180]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
