{"id":"https://openalex.org/W2611276623","doi":"https://doi.org/10.1109/twc.2017.2699175","title":"Application-Based Optimization of Multi-Level Clustering in Ad Hoc and Sensor Networks","display_name":"Application-Based Optimization of Multi-Level Clustering in Ad Hoc and Sensor Networks","publication_year":2017,"publication_date":"2017-05-03","ids":{"openalex":"https://openalex.org/W2611276623","doi":"https://doi.org/10.1109/twc.2017.2699175","mag":"2611276623"},"language":"en","primary_location":{"id":"doi:10.1109/twc.2017.2699175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2017.2699175","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-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/A5076262891","display_name":"Deepa Phanish","orcid":"https://orcid.org/0000-0003-3421-259X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Deepa Phanish","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3421-259X","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023736119","display_name":"Edward J. Coyle","orcid":"https://orcid.org/0000-0002-7244-0828"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edward J. Coyle","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076262891"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":2.8508,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.91829589,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"16","issue":"7","first_page":"4460","last_page":"4475"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":1.0,"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":1.0,"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/T10246","display_name":"Mobile Ad Hoc Networks","score":0.9994000196456909,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.7909469604492188},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6975712776184082},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6831266283988953},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6472945213317871},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.6400467753410339},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.5652830600738525},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.45183807611465454},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.4513690173625946},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3829116225242615},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21826636791229248},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.16514360904693604},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14877450466156006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7909469604492188},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6975712776184082},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6831266283988953},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6472945213317871},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.6400467753410339},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5652830600738525},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.45183807611465454},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.4513690173625946},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3829116225242615},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21826636791229248},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.16514360904693604},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14877450466156006},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/twc.2017.2699175","is_oa":false,"landing_page_url":"https://doi.org/10.1109/twc.2017.2699175","pdf_url":null,"source":{"id":"https://openalex.org/S63459445","display_name":"IEEE Transactions on Wireless Communications","issn_l":"1536-1276","issn":["1536-1276","1558-2248"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Wireless Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W163248968","https://openalex.org/W1525394761","https://openalex.org/W1555270929","https://openalex.org/W1787734157","https://openalex.org/W1801287997","https://openalex.org/W1964143376","https://openalex.org/W1970338560","https://openalex.org/W1972062587","https://openalex.org/W1974551581","https://openalex.org/W1980206093","https://openalex.org/W2001518046","https://openalex.org/W2004215803","https://openalex.org/W2004473182","https://openalex.org/W2012987308","https://openalex.org/W2014411916","https://openalex.org/W2019952623","https://openalex.org/W2024241671","https://openalex.org/W2024991751","https://openalex.org/W2051152775","https://openalex.org/W2060556821","https://openalex.org/W2079499588","https://openalex.org/W2082050689","https://openalex.org/W2083835467","https://openalex.org/W2084164807","https://openalex.org/W2088087163","https://openalex.org/W2100117806","https://openalex.org/W2101678493","https://openalex.org/W2104846640","https://openalex.org/W2106335692","https://openalex.org/W2108777122","https://openalex.org/W2111320052","https://openalex.org/W2113829484","https://openalex.org/W2115763491","https://openalex.org/W2116913505","https://openalex.org/W2120059822","https://openalex.org/W2121255383","https://openalex.org/W2130347912","https://openalex.org/W2130403046","https://openalex.org/W2132549513","https://openalex.org/W2133794215","https://openalex.org/W2138561727","https://openalex.org/W2139515706","https://openalex.org/W2139519968","https://openalex.org/W2139701389","https://openalex.org/W2143938200","https://openalex.org/W2145873277","https://openalex.org/W2148140427","https://openalex.org/W2149259182","https://openalex.org/W2155427143","https://openalex.org/W2155492251","https://openalex.org/W2155731351","https://openalex.org/W2159789247","https://openalex.org/W2161978945","https://openalex.org/W2167465093","https://openalex.org/W2170044052","https://openalex.org/W2170239483","https://openalex.org/W2181981498","https://openalex.org/W2306862514","https://openalex.org/W2317392131","https://openalex.org/W3089765963","https://openalex.org/W3117609753","https://openalex.org/W4242070711","https://openalex.org/W4301040928","https://openalex.org/W6606649094","https://openalex.org/W6631398575"],"related_works":["https://openalex.org/W2364921833","https://openalex.org/W2385146268","https://openalex.org/W1550168124","https://openalex.org/W2380023786","https://openalex.org/W2546696010","https://openalex.org/W1992741870","https://openalex.org/W2027487876","https://openalex.org/W2121214005","https://openalex.org/W363840448","https://openalex.org/W2064421217"],"abstract_inverted_index":{"Multi-level":[0],"clustering":[1],"offers":[2],"the":[3,37,43,81,84,92,97,117,149,155],"scalability":[4],"that":[5,64],"is":[6,78,158],"essential":[7],"to":[8,17,95],"large-scale":[9],"ad":[10],"hoc":[11],"and":[12,41,66,102,121,143,163],"sensor":[13],"networks":[14],"in":[15],"addition":[16],"supporting":[18],"energy-efficient":[19],"strategies":[20],"for":[21,137,160],"gathering":[22],"data.":[23],"The":[24,131],"optimality":[25],"of":[26,39,45,61,83,100,105,119,141,151],"a":[27,56,138],"multi-level":[28,58],"network":[29,60,73,146,156],"largely":[30],"depends":[31],"on":[32,116,154],"two":[33],"design":[34],"variables:":[35],"1)":[36],"number":[38,44,118],"levels":[40],"2)":[42],"nodes":[46,107,120],"operating":[47],"at":[48,69,87],"each":[49,70,88],"level.":[50,71,89],"We":[51,90],"characterize":[52],"these":[53,152],"variables":[54],"within":[55],"multi-hop":[57],"hierarchical":[59],"variable":[62],"sizes":[63],"gathers":[65],"aggregates":[67],"data":[68,85,123],"Our":[72],"communication":[74,93],"cost":[75,94],"model":[76],"(EEHC-VA)":[77],"parameterized":[79],"by":[80],"size":[82],"forwarded":[86],"minimize":[91],"obtain":[96],"optimal":[98],"probabilities":[99],"distributed":[101],"independent":[103],"selection":[104],"level-(n+1)":[106],"from":[108],"level-n":[109],"nodes.":[110],"Interestingly,":[111],"we":[112],"have":[113,133],"identified":[114],"intervals-based":[115],"aggregated":[122],"sizes-within":[124],"which":[125],"singleor":[126],"two-level":[127],"hierarchies":[128],"are":[129],"optimal.":[130],"results":[132,153],"been":[134],"numerically":[135],"verified":[136],"wide":[139],"range":[140],"parameters":[142],"validated":[144],"with":[145],"simulations.":[147],"Finally,":[148],"impact":[150],"architectures":[157],"discussed":[159],"selected":[161],"applications":[162],"aggregation":[164],"schemes.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
