{"id":"https://openalex.org/W3046107451","doi":"https://doi.org/10.1109/icc40277.2020.9148639","title":"Efficient and Robust Top-k Algorithms for Big Data IoT","display_name":"Efficient and Robust Top-k Algorithms for Big Data IoT","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3046107451","doi":"https://doi.org/10.1109/icc40277.2020.9148639","mag":"3046107451"},"language":"en","primary_location":{"id":"doi:10.1109/icc40277.2020.9148639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","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/A5026438262","display_name":"Ruifan Yang","orcid":"https://orcid.org/0009-0003-8397-5929"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruifan Yang","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059482234","display_name":"Zheng Zhou","orcid":"https://orcid.org/0000-0003-3688-9633"},"institutions":[{"id":"https://openalex.org/I103531236","display_name":"Boston College","ror":"https://ror.org/02n2fzt79","country_code":"US","type":"education","lineage":["https://openalex.org/I103531236"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Zhou","raw_affiliation_strings":["Boston College, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston College, Boston, MA, USA","institution_ids":["https://openalex.org/I103531236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056255298","display_name":"Lewis Tseng","orcid":"https://orcid.org/0000-0002-4717-4038"},"institutions":[{"id":"https://openalex.org/I103531236","display_name":"Boston College","ror":"https://ror.org/02n2fzt79","country_code":"US","type":"education","lineage":["https://openalex.org/I103531236"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lewis Tseng","raw_affiliation_strings":["Boston College, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston College, Boston, MA, USA","institution_ids":["https://openalex.org/I103531236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020975697","display_name":"Moayad Aloqaily","orcid":"https://orcid.org/0000-0003-2443-7234"},"institutions":[{"id":"https://openalex.org/I161913731","display_name":"Al Ain University","ror":"https://ror.org/023abrt21","country_code":"AE","type":"education","lineage":["https://openalex.org/I161913731"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Moayad Aloqaily","raw_affiliation_strings":["Al Ain University, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Al Ain University, UAE","institution_ids":["https://openalex.org/I161913731"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012195474","display_name":"Azzedine Boukerche","orcid":"https://orcid.org/0000-0002-3851-9938"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Azzedine Boukerche","raw_affiliation_strings":["University of Ottawa, Ottawa, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ottawa, Ottawa, ON, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3287,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4761833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9937999844551086,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9879999756813049,"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":0.8345866203308105},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6943198442459106},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6393372416496277},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5864802598953247},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5397303104400635},{"id":"https://openalex.org/keywords/fault-tolerance","display_name":"Fault tolerance","score":0.5183095335960388},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4325413107872009},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42500197887420654},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4125514030456543},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32919102907180786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20073771476745605},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.0936116874217987}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8345866203308105},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6943198442459106},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6393372416496277},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5864802598953247},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5397303104400635},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.5183095335960388},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4325413107872009},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42500197887420654},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4125514030456543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32919102907180786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20073771476745605},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0936116874217987},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icc40277.2020.9148639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9148639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},{"id":"pmh:oai:commons.clarku.edu:faculty_computer_sciences-1123","is_oa":false,"landing_page_url":"https://commons.clarku.edu/faculty_computer_sciences/124","pdf_url":null,"source":{"id":"https://openalex.org/S4377196688","display_name":"Clark Digital Commons (Clark University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130785548","host_organization_name":"Clark University","host_organization_lineage":["https://openalex.org/I130785548"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.41999998688697815,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W163433938","https://openalex.org/W1542218590","https://openalex.org/W1544095808","https://openalex.org/W1570829688","https://openalex.org/W1588145496","https://openalex.org/W2009688537","https://openalex.org/W2087132893","https://openalex.org/W2089419727","https://openalex.org/W2100080574","https://openalex.org/W2116039228","https://openalex.org/W2126310747","https://openalex.org/W2134206624","https://openalex.org/W2147841099","https://openalex.org/W2153259545","https://openalex.org/W2164520297","https://openalex.org/W2844803888","https://openalex.org/W2943796356","https://openalex.org/W2947551308","https://openalex.org/W2949619369","https://openalex.org/W2959914816","https://openalex.org/W2962459360","https://openalex.org/W2974603277","https://openalex.org/W2991322664","https://openalex.org/W2998413452","https://openalex.org/W3010148534","https://openalex.org/W4243973573","https://openalex.org/W6628994040"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W1577886464","https://openalex.org/W2144438995","https://openalex.org/W2164896586","https://openalex.org/W1593559483","https://openalex.org/W2108334564","https://openalex.org/W2111125783","https://openalex.org/W2100367016"],"abstract_inverted_index":{"Top-k":[0,23],"considers":[1,65],"as":[2,39],"a":[3,8,27,56,88,96],"technique":[4],"to":[5,73,94],"retrieve,":[6],"from":[7],"hypothetically":[9],"big":[10,36],"data":[11,37,112],"set,":[12],"only":[13],"the":[14,40,66,74,79],"k":[15],"(k":[16],"\u2265":[17],"1)":[18],"best":[19],"(most":[20],"relevant/important)":[21],"candidates.":[22],"query":[24],"processing":[25,49,70],"is":[26],"decisive":[28],"necessity":[29],"in":[30,50,99],"various":[31],"collaborative":[32],"environments":[33],"that":[34],"comprise":[35],"such":[38],"Internet":[41],"of":[42,81,101],"Things":[43],"(IoT)":[44],"networks.":[45],"Particularly,":[46],"efficient":[47],"top-k":[48,69],"large-scale":[51],"distributed":[52,67],"systems":[53],"has":[54],"shown":[55],"positively":[57],"noticeable":[58],"effect":[59],"on":[60],"their":[61],"performance.":[62],"This":[63],"paper":[64],"approximate":[68],"algorithms":[71,82,104],"dedicated":[72],"IoT-based":[75],"networks":[76],"and":[77,92,110,113],"improve":[78],"accuracy":[80],"introduced":[83],"previously.":[84],"We":[85],"then":[86],"propose":[87],"safety-based":[89],"fault-tolerance":[90],"notation":[91],"contribute":[93],"improving":[95],"known":[97],"algorithm":[98],"terms":[100],"accuracy.":[102],"Our":[103],"have":[105],"been":[106],"evaluated":[107],"using":[108],"simulation":[109],"real-world":[111],"show":[114],"superiority":[115],"over":[116],"conventional":[117],"methods.":[118]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
