{"id":"https://openalex.org/W2963858136","doi":"https://doi.org/10.1109/wf-iot.2019.8767326","title":"Compound Compression Method for Gathering Traffic of IoT/CPS Data","display_name":"Compound Compression Method for Gathering Traffic of IoT/CPS Data","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2963858136","doi":"https://doi.org/10.1109/wf-iot.2019.8767326","mag":"2963858136"},"language":"en","primary_location":{"id":"doi:10.1109/wf-iot.2019.8767326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot.2019.8767326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 5th World Forum on Internet of Things (WF-IoT)","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/A5077631093","display_name":"Kazuhito Matsuda","orcid":"https://orcid.org/0000-0001-6495-0636"},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuhito MATSUDA","raw_affiliation_strings":["FUJITSU LABORATORIES LTD., Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"FUJITSU LABORATORIES LTD., Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109806518","display_name":"Makoto Kubota","orcid":null},"institutions":[{"id":"https://openalex.org/I2252096349","display_name":"Fujitsu (Japan)","ror":"https://ror.org/038e2g226","country_code":"JP","type":"company","lineage":["https://openalex.org/I2252096349"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Makoto KUBOTA","raw_affiliation_strings":["FUJITSU LABORATORIES LTD., Kawasaki, Japan"],"affiliations":[{"raw_affiliation_string":"FUJITSU LABORATORIES LTD., Kawasaki, Japan","institution_ids":["https://openalex.org/I2252096349"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077631093"],"corresponding_institution_ids":["https://openalex.org/I2252096349"],"apc_list":null,"apc_paid":null,"fwci":0.1768,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52859009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"761","last_page":"766"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9987000226974487,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9987000226974487,"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/T11478","display_name":"Caching and Content Delivery","score":0.984000027179718,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7686980962753296},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.762980580329895},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6888152360916138},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.6173646450042725},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.5581778883934021},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5320051312446594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47916021943092346},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.45654985308647156},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4481934607028961},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.43726328015327454},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.43084201216697693},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.41287297010421753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17713722586631775},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.15447798371315002},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1051042377948761},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08054673671722412},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07303199172019958}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7686980962753296},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.762980580329895},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6888152360916138},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.6173646450042725},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.5581778883934021},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5320051312446594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47916021943092346},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.45654985308647156},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4481934607028961},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.43726328015327454},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.43084201216697693},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.41287297010421753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17713722586631775},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.15447798371315002},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1051042377948761},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08054673671722412},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07303199172019958},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"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/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wf-iot.2019.8767326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot.2019.8767326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 5th World Forum on Internet of Things (WF-IoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1972012147","https://openalex.org/W1998460924","https://openalex.org/W2024171325","https://openalex.org/W2054632425","https://openalex.org/W2169239645","https://openalex.org/W2295939521","https://openalex.org/W2564810971","https://openalex.org/W2775394714"],"related_works":["https://openalex.org/W1512321724","https://openalex.org/W4231317009","https://openalex.org/W2367696392","https://openalex.org/W4383723869","https://openalex.org/W4293703255","https://openalex.org/W2161302774","https://openalex.org/W2388481516","https://openalex.org/W4384298135","https://openalex.org/W4383722264","https://openalex.org/W1723410974"],"abstract_inverted_index":{"These":[0],"days,":[1],"many":[2],"kinds":[3,126],"of":[4,41,102,117,127],"sensors":[5],"are":[6,49],"connected":[7],"to":[8,25,71,75,112],"the":[9,13,20,100,131,136],"Internet.":[10],"They":[11],"measure":[12],"real":[14],"world":[15],"from":[16],"multiple":[17,125],"aspects,":[18],"and":[19,29,43,60,67,109,119,147],"measured":[21],"data":[22,48,59,74,76,129],"is":[23,34],"used":[24],"optimize":[26],"commercial":[27],"activity":[28],"social":[30],"infrastructure.":[31],"This":[32],"trend":[33],"called":[35],"IoT/CPS,":[36],"which":[37,105],"stands":[38],"for":[39],"Internet":[40],"Things":[42],"Cyber":[44],"Physical":[45],"Systems.":[46],"The":[47,96],"divided":[50],"into":[51],"two":[52],"types:":[53],"\"heavy":[54],"data\"":[55,62],"such":[56,63],"as":[57,64],"multimedia":[58],"\"light":[61],"numerical":[65],"values":[66],"strings.":[68],"Demand":[69],"exists":[70],"gather":[72],"light":[73,94,103,128],"centers;":[77],"however,":[78],"traffic":[79,149],"volume":[80],"becomes":[81],"a":[82,143],"challenge.":[83],"In":[84],"this":[85],"paper,":[86],"we":[87],"propose":[88],"an":[89,114],"efficient":[90,115],"compression":[91,137,146],"method":[92,98,133],"targeting":[93],"data.":[95],"proposed":[97,132],"utilizes":[99],"structure":[101],"data,":[104],"have":[106],"\"constant,\"":[107],"\"variable,\"":[108],"\"timestamp\"":[110],"fields,":[111],"create":[113],"dictionary":[116],"symbols":[118],"perform":[120],"column-based":[121],"compression.":[122],"By":[123],"evaluating":[124],"sources,":[130],"can":[134],"improve":[135],"ratio":[138],"by":[139],"24%":[140],"compared":[141],"with":[142],"zip":[144],"(Deflate)":[145],"achieve":[148],"reduction.":[150]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}