{"id":"https://openalex.org/W2564973489","doi":"https://doi.org/10.1109/milcom.2016.7795310","title":"Analytical framework for MANET learning and routing","display_name":"Analytical framework for MANET learning and routing","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2564973489","doi":"https://doi.org/10.1109/milcom.2016.7795310","mag":"2564973489"},"language":"en","primary_location":{"id":"doi:10.1109/milcom.2016.7795310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom.2016.7795310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2016 - 2016 IEEE Military Communications Conference","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/A5089570143","display_name":"Yalin E. Sagduyu","orcid":"https://orcid.org/0000-0003-1576-5527"},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yalin E. Sagduyu","raw_affiliation_strings":["Intelligent Automation, Inc., Rockville, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Automation, Inc., Rockville, MD, USA","institution_ids":["https://openalex.org/I4210130203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054863127","display_name":"Yi Shi","orcid":"https://orcid.org/0000-0002-6110-3084"},"institutions":[{"id":"https://openalex.org/I4210130203","display_name":"Intelligent Automation (United States)","ror":"https://ror.org/02fwb6r86","country_code":"US","type":"company","lineage":["https://openalex.org/I4210130203"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Shi","raw_affiliation_strings":["Intelligent Automation, Inc., Rockville, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Automation, Inc., Rockville, MD, USA","institution_ids":["https://openalex.org/I4210130203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063925162","display_name":"Sharon J. Mackey","orcid":null},"institutions":[{"id":"https://openalex.org/I1304082316","display_name":"United States Department of the Army","ror":"https://ror.org/035w1gb98","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796"]},{"id":"https://openalex.org/I4210088792","display_name":"United States Army","ror":"https://ror.org/00afsp483","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I4210088792"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sharon J. Mackey","raw_affiliation_strings":["U.S. Army CERDEC, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Army CERDEC, MD, USA","institution_ids":["https://openalex.org/I1304082316","https://openalex.org/I4210088792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045638118","display_name":"Derya Cansever","orcid":null},"institutions":[{"id":"https://openalex.org/I1304082316","display_name":"United States Department of the Army","ror":"https://ror.org/035w1gb98","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796"]},{"id":"https://openalex.org/I4210088792","display_name":"United States Army","ror":"https://ror.org/00afsp483","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I4210088792"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Derya H. Cansever","raw_affiliation_strings":["U.S. Army CERDEC, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Army CERDEC, MD, USA","institution_ids":["https://openalex.org/I1304082316","https://openalex.org/I4210088792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110021498","display_name":"Mitesh Patel","orcid":null},"institutions":[{"id":"https://openalex.org/I1304082316","display_name":"United States Department of the Army","ror":"https://ror.org/035w1gb98","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796"]},{"id":"https://openalex.org/I4210088792","display_name":"United States Army","ror":"https://ror.org/00afsp483","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I4210088792"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mitesh P. Patel","raw_affiliation_strings":["U.S. Army CERDEC, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Army CERDEC, MD, USA","institution_ids":["https://openalex.org/I1304082316","https://openalex.org/I4210088792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054992125","display_name":"Bart F. Panettieri","orcid":null},"institutions":[{"id":"https://openalex.org/I1304082316","display_name":"United States Department of the Army","ror":"https://ror.org/035w1gb98","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796"]},{"id":"https://openalex.org/I4210088792","display_name":"United States Army","ror":"https://ror.org/00afsp483","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I4210088792"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bart F. Panettieri","raw_affiliation_strings":["U.S. Army CERDEC, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Army CERDEC, MD, USA","institution_ids":["https://openalex.org/I1304082316","https://openalex.org/I4210088792"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8863,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79737109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"108","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11896","display_name":"Opportunistic and Delay-Tolerant 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/T11896","display_name":"Opportunistic and Delay-Tolerant 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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.733663022518158},{"id":"https://openalex.org/keywords/mobile-ad-hoc-network","display_name":"Mobile ad hoc network","score":0.5957305431365967},{"id":"https://openalex.org/keywords/waypoint","display_name":"Waypoint","score":0.5664137005805969},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5382897853851318},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.4689202904701233},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.45709529519081116},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.4425174593925476},{"id":"https://openalex.org/keywords/routing-protocol","display_name":"Routing protocol","score":0.4409897029399872},{"id":"https://openalex.org/keywords/metrics","display_name":"Metrics","score":0.4397992789745331},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4027983248233795},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.3776841163635254},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3570517897605896},{"id":"https://openalex.org/keywords/dynamic-source-routing","display_name":"Dynamic Source Routing","score":0.2652270793914795},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.26082295179367065},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.15309655666351318},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.1327788531780243}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.733663022518158},{"id":"https://openalex.org/C91280400","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Mobile ad hoc network","level":3,"score":0.5957305431365967},{"id":"https://openalex.org/C2781271823","wikidata":"https://www.wikidata.org/wiki/Q138081","display_name":"Waypoint","level":2,"score":0.5664137005805969},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5382897853851318},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.4689202904701233},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.45709529519081116},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.4425174593925476},{"id":"https://openalex.org/C104954878","wikidata":"https://www.wikidata.org/wiki/Q1648707","display_name":"Routing protocol","level":3,"score":0.4409897029399872},{"id":"https://openalex.org/C195780805","wikidata":"https://www.wikidata.org/wiki/Q1535986","display_name":"Metrics","level":5,"score":0.4397992789745331},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4027983248233795},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.3776841163635254},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3570517897605896},{"id":"https://openalex.org/C9659607","wikidata":"https://www.wikidata.org/wiki/Q1268903","display_name":"Dynamic Source Routing","level":4,"score":0.2652270793914795},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.26082295179367065},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.15309655666351318},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.1327788531780243},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/milcom.2016.7795310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/milcom.2016.7795310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MILCOM 2016 - 2016 IEEE Military Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1566389336","https://openalex.org/W1968164782","https://openalex.org/W1981107414","https://openalex.org/W2049122689","https://openalex.org/W2061896034","https://openalex.org/W2077140556","https://openalex.org/W2082674813","https://openalex.org/W2110953678","https://openalex.org/W2112090702","https://openalex.org/W2114227262","https://openalex.org/W2507380692","https://openalex.org/W6669849067"],"related_works":["https://openalex.org/W2688471429","https://openalex.org/W4360939124","https://openalex.org/W2077345734","https://openalex.org/W2899287767","https://openalex.org/W2275928629","https://openalex.org/W4387126713","https://openalex.org/W2612848489","https://openalex.org/W2915444871","https://openalex.org/W2096610529","https://openalex.org/W1969392113"],"abstract_inverted_index":{"This":[0,59],"paper":[1],"presents":[2],"an":[3],"analytical":[4],"model":[5],"of":[6,83,100,147,188],"a":[7,26,81],"multi-layer":[8],"(social-communication)":[9],"network":[10,48,153,189],"supported":[11],"with":[12,33,144,179,185,194],"on-the-fly":[13],"learned":[14],"and":[15,44,65,102,111,119,140,175],"prior":[16],"social-cognitive":[17,93,97],"features.":[18],"In":[19,149],"this":[20],"model,":[21],"routing":[22],"is":[23,56,77,90,135,155,181,202],"formulated":[24],"in":[25,92],"distributed":[27],"setting":[28],"where":[29],"each":[30],"node":[31,142],"operating":[32],"local":[34],"information":[35],"only":[36],"finds":[37],"the":[38,57,62,86,116,130,159,169,173,176,199],"next-hop":[39],"node,":[40,88],"among":[41],"all":[42],"social":[43,103,132,152],"mobile":[45],"ad":[46],"hoc":[47],"(MANET)":[49],"communication":[50,117],"link":[51],"neighbors,":[52],"whose":[53],"normalized":[54],"delay":[55,64,178],"smallest.":[58],"approach":[60],"minimizes":[61],"end-to-end":[63],"readily":[66],"extends":[67],"to":[68,85,157,172,183],"optimize":[69],"other":[70],"metrics,":[71],"e.g.,":[72],"success":[73],"probability.":[74],"Delay":[75],"performance":[76],"analytically":[78],"evaluated":[79],"as":[80],"function":[82],"distance":[84],"destination":[87,174],"which":[89],"estimated":[91],"learning":[94,165,180],"under":[95],"two":[96],"features,":[98],"frequency":[99],"encounters":[101],"pressure":[104],"metric.":[105],"Different":[106],"mobility":[107],"models":[108,122,143],"(random":[109],"waypoint":[110],"group)":[112],"are":[113,127],"considered":[114,128],"for":[115,129,137],"topology":[118],"different":[120,145],"graph":[121],"(uniform":[123],"random":[124],"or":[125],"scale-free)":[126],"underlying":[131],"network.":[133],"Analysis":[134],"provided":[136],"both":[138],"infinite":[139],"finite":[141],"levels":[146],"granularity.":[148],"addition,":[150],"real":[151],"data":[154],"used":[156],"evaluate":[158],"analysis.":[160],"Results":[161],"show":[162],"that":[163,184,198],"online":[164],"can":[166],"closely":[167],"track":[168],"actual":[170],"distances":[171],"expected":[177],"close":[182],"perfect":[186],"knowledge":[187],"dynamics,":[190],"while":[191],"it":[192],"saturates":[193],"hop":[195],"distance,":[196],"implying":[197],"small-world":[200],"phenomenon":[201],"captured.":[203]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}