{"id":"https://openalex.org/W2147902283","doi":"https://doi.org/10.1109/mahss.2005.1542850","title":"TASC: topology adaptive spatial clustering for sensor networks","display_name":"TASC: topology adaptive spatial clustering for sensor networks","publication_year":2005,"publication_date":"2005-12-13","ids":{"openalex":"https://openalex.org/W2147902283","doi":"https://doi.org/10.1109/mahss.2005.1542850","mag":"2147902283"},"language":"en","primary_location":{"id":"doi:10.1109/mahss.2005.1542850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mahss.2005.1542850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005.","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/A5056812564","display_name":"Reino Virrankoski","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]},{"id":"https://openalex.org/I4210145666","display_name":"Embedded Systems (United States)","ror":"https://ror.org/04742eh45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Virrankoski","raw_affiliation_strings":["Assistant Researcher from the Control Engineering Laboratory, Helsinki University of Technology, Finland","Embedded Networks and Applications Lab (ENALAB), Yale University, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Researcher from the Control Engineering Laboratory, Helsinki University of Technology, Finland","institution_ids":[]},{"raw_affiliation_string":"Embedded Networks and Applications Lab (ENALAB), Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I4210145666","https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045273764","display_name":"A. Savvides","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Savvides","raw_affiliation_strings":["Embedded Networks & Applications Lab, Yale Univ., New Haven, CT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Embedded Networks & Applications Lab, Yale Univ., New Haven, CT","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.8149,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.96214473,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"605","last_page":"614"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9961000084877014,"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/T11106","display_name":"Data Management and Algorithms","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.7325226664543152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6911267042160034},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5803483128547668},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5281153917312622},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5043758153915405},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.31872594356536865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2204892635345459},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12028130888938904},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.058234333992004395}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7325226664543152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6911267042160034},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5803483128547668},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5281153917312622},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5043758153915405},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.31872594356536865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2204892635345459},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12028130888938904},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.058234333992004395}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/mahss.2005.1542850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mahss.2005.1542850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.101.5542","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.5542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.eng.yale.edu/enalab/publications/mass05_clustering.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.122.3359","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.122.3359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.tkk.fi/~virranko/tasc.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.83.8834","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.83.8834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ucf.edu/~turgut/COURSES/ClassReviewPapers/tasc.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6800000071525574}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320322426","display_name":"Nokia Foundation","ror":"https://ror.org/0401nzk46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1596382552","https://openalex.org/W1602370902","https://openalex.org/W1673310716","https://openalex.org/W1787734157","https://openalex.org/W1930417601","https://openalex.org/W1971784203","https://openalex.org/W1978999584","https://openalex.org/W2012987308","https://openalex.org/W2017231306","https://openalex.org/W2076994310","https://openalex.org/W2098432798","https://openalex.org/W2101963262","https://openalex.org/W2112737587","https://openalex.org/W2114124631","https://openalex.org/W2119710605","https://openalex.org/W2120273661","https://openalex.org/W2126379392","https://openalex.org/W2127218421","https://openalex.org/W2130593958","https://openalex.org/W2130959131","https://openalex.org/W2132632442","https://openalex.org/W2141685007","https://openalex.org/W2152729153","https://openalex.org/W2154020241","https://openalex.org/W2164680510","https://openalex.org/W2164824354","https://openalex.org/W2165861038","https://openalex.org/W2167465093","https://openalex.org/W2199495299","https://openalex.org/W2279353332","https://openalex.org/W3041700000","https://openalex.org/W6635376254","https://openalex.org/W6637131181","https://openalex.org/W6678224718","https://openalex.org/W6679341092","https://openalex.org/W6679995126","https://openalex.org/W6682627182","https://openalex.org/W6684554823"],"related_works":["https://openalex.org/W2086397253","https://openalex.org/W2133122801","https://openalex.org/W600422426","https://openalex.org/W2007156430","https://openalex.org/W2804364458","https://openalex.org/W3081478936","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340"],"abstract_inverted_index":{"The":[0,52,113,145],"ability":[1],"to":[2,16,25,133,141,159,186],"extract":[3],"topological":[4],"regularity":[5],"out":[6,193],"of":[7,47,72,80,83,97,110,136,138,202],"large":[8],"randomly":[9],"deployed":[10],"sensor":[11,28],"networks":[12],"holds":[13],"the":[14,45,67,81,108,117,130,134,169,182,200],"promise":[15],"maximally":[17],"leverage":[18],"correlation":[19],"for":[20,119],"data":[21],"aggregation":[22],"and":[23,30,87,104,180],"also":[24,148,191],"assist":[26],"with":[27,184],"localization":[29],"hierarchy":[31],"creation.":[32],"This":[33,90],"paper":[34],"focuses":[35],"on":[36],"extracting":[37],"such":[38],"regular":[39],"structures":[40,176],"from":[41],"physical":[42],"topology":[43,53],"through":[44],"development":[46],"a":[48,62,70,95,121,150],"distributed":[49,63],"clustering":[50,56,146],"scheme.":[51],"adaptive":[54],"spatial":[55],"(TASC)":[57],"algorithm":[58,64,147,171],"presented":[59],"here":[60],"is":[61,91],"that":[65,99,155,168,194],"partitions":[66],"network":[68,179,183],"into":[69],"set":[71,96],"locally":[73,174],"isotropic,":[74],"non-overlapping":[75],"clusters":[76],"without":[77],"prior":[78],"knowledge":[79],"number":[82],"clusters,":[84],"cluster":[85,181],"size":[86],"node":[88,128,131],"coordinates.":[89],"achieved":[92],"by":[93],"deriving":[94],"weights":[98,115],"encode":[100],"distance":[101],"measurements,":[102],"connectivity":[103],"density":[105,152,162,188],"information":[106],"within":[107],"locality":[109],"each":[111,127],"node.":[112],"derived":[114],"form":[116],"terrain":[118],"holding":[120],"coordinated":[122],"leader":[123],"election":[124],"in":[125,177,199],"which":[126],"selects":[129],"closer":[132],"center":[135],"mass":[137],"its":[139,143],"neighborhood":[140],"become":[142],"leader.":[144],"employs":[149],"dynamic":[151],"reachability":[153],"criterion":[154],"groups":[156],"nodes":[157],"according":[158],"their":[160],"neighborhood's":[161],"properties.":[163],"Our":[164],"simulation":[165],"results":[166],"show":[167],"proposed":[170],"can":[172],"trace":[173],"isotropic":[175],"non-isotropic":[178],"respect":[185],"local":[187],"attributes.":[189],"We":[190],"found":[192],"TASC":[195],"exhibits":[196],"consistent":[197],"behavior":[198],"presence":[201],"moderate":[203],"measurement":[204],"noise":[205],"levels.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}