{"id":"https://openalex.org/W2075553961","doi":"https://doi.org/10.1109/cogsima.2013.6523844","title":"Reducing bandwidth requirements and optimizing data flow in distributed data acquisition and processing","display_name":"Reducing bandwidth requirements and optimizing data flow in distributed data acquisition and processing","publication_year":2013,"publication_date":"2013-02-01","ids":{"openalex":"https://openalex.org/W2075553961","doi":"https://doi.org/10.1109/cogsima.2013.6523844","mag":"2075553961"},"language":"en","primary_location":{"id":"doi:10.1109/cogsima.2013.6523844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cogsima.2013.6523844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","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/A5108564125","display_name":"J\u00fcrgo Preden","orcid":null},"institutions":[{"id":"https://openalex.org/I111112146","display_name":"Tallinn University of Technology","ror":"https://ror.org/0443cwa12","country_code":"EE","type":"education","lineage":["https://openalex.org/I111112146"]}],"countries":["EE"],"is_corresponding":true,"raw_author_name":"J. S. Preden","raw_affiliation_strings":["Research Lab for Proactive Technologies, Depart. Computer Control, Taiyuan University of Technology, Estonia","Dept. Comput. Control, Tallinn Univ. of Technol., Tallinn, Estonia"],"affiliations":[{"raw_affiliation_string":"Research Lab for Proactive Technologies, Depart. Computer Control, Taiyuan University of Technology, Estonia","institution_ids":["https://openalex.org/I111112146"]},{"raw_affiliation_string":"Dept. Comput. Control, Tallinn Univ. of Technol., Tallinn, Estonia","institution_ids":["https://openalex.org/I111112146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013885618","display_name":"L. M\u00f4tus","orcid":null},"institutions":[{"id":"https://openalex.org/I111112146","display_name":"Tallinn University of Technology","ror":"https://ror.org/0443cwa12","country_code":"EE","type":"education","lineage":["https://openalex.org/I111112146"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"L. Motus","raw_affiliation_strings":["Research Lab for Proactive Technologies, Depart. Computer Control, Taiyuan University of Technology, Estonia","Dept. Comput. Control, Tallinn Univ. of Technol., Tallinn, Estonia"],"affiliations":[{"raw_affiliation_string":"Research Lab for Proactive Technologies, Depart. Computer Control, Taiyuan University of Technology, Estonia","institution_ids":["https://openalex.org/I111112146"]},{"raw_affiliation_string":"Dept. Comput. Control, Tallinn Univ. of Technol., Tallinn, Estonia","institution_ids":["https://openalex.org/I111112146"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042752695","display_name":"Raido Pahtma","orcid":null},"institutions":[{"id":"https://openalex.org/I111112146","display_name":"Tallinn University of Technology","ror":"https://ror.org/0443cwa12","country_code":"EE","type":"education","lineage":["https://openalex.org/I111112146"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"R. Pahtma","raw_affiliation_strings":["Research Lab for Proactive Technologies, Depart. Computer Control, Taiyuan University of Technology, Estonia","Dept. Comput. Control, Tallinn Univ. of Technol., Tallinn, Estonia"],"affiliations":[{"raw_affiliation_string":"Research Lab for Proactive Technologies, Depart. Computer Control, Taiyuan University of Technology, Estonia","institution_ids":["https://openalex.org/I111112146"]},{"raw_affiliation_string":"Dept. Comput. Control, Tallinn Univ. of Technol., Tallinn, Estonia","institution_ids":["https://openalex.org/I111112146"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008246582","display_name":"Merik Meriste","orcid":null},"institutions":[{"id":"https://openalex.org/I111112146","display_name":"Tallinn University of Technology","ror":"https://ror.org/0443cwa12","country_code":"EE","type":"education","lineage":["https://openalex.org/I111112146"]}],"countries":["EE"],"is_corresponding":false,"raw_author_name":"M. Meriste","raw_affiliation_strings":["Research Lab for Proactive Technologies, Depart. Computer Control, Taiyuan University of Technology, Estonia","Dept. Comput. Control, Tallinn Univ. of Technol., Tallinn, Estonia"],"affiliations":[{"raw_affiliation_string":"Research Lab for Proactive Technologies, Depart. Computer Control, Taiyuan University of Technology, Estonia","institution_ids":["https://openalex.org/I111112146"]},{"raw_affiliation_string":"Dept. Comput. Control, Tallinn Univ. of Technol., Tallinn, Estonia","institution_ids":["https://openalex.org/I111112146"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108564125"],"corresponding_institution_ids":["https://openalex.org/I111112146"],"apc_list":null,"apc_paid":null,"fwci":1.9236,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88410214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2095","issue":null,"first_page":"175","last_page":"182"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9704999923706055,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9570000171661377,"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":0.7840112447738647},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.7353002429008484},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5923856496810913},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5621506571769714},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.519844114780426},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5164535045623779},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.4466731548309326},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.4320334494113922},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.417082279920578},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1898500621318817},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10915279388427734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7840112447738647},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.7353002429008484},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5923856496810913},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5621506571769714},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.519844114780426},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5164535045623779},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.4466731548309326},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.4320334494113922},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.417082279920578},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1898500621318817},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10915279388427734},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cogsima.2013.6523844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cogsima.2013.6523844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W19210669","https://openalex.org/W1553372013","https://openalex.org/W1568127827","https://openalex.org/W2033037595","https://openalex.org/W2075838914","https://openalex.org/W2077125461","https://openalex.org/W2097804262","https://openalex.org/W2133532148","https://openalex.org/W2170828088","https://openalex.org/W6658755958","https://openalex.org/W6685138843"],"related_works":["https://openalex.org/W2386723501","https://openalex.org/W2387879414","https://openalex.org/W2390304029","https://openalex.org/W2354923724","https://openalex.org/W2146830340","https://openalex.org/W4288601434","https://openalex.org/W2377101853","https://openalex.org/W2362180844","https://openalex.org/W2378405797","https://openalex.org/W2385027822"],"abstract_inverted_index":{"With":[0],"the":[1,14,44,78,105,127,168],"advent":[2],"of":[3,11,16,115,126],"new":[4],"more":[5,42],"capable":[6],"technologies":[7,13],"and":[8,61,129],"greater":[9],"availability":[10],"sensing":[12],"amount":[15],"sensor":[17],"data":[18,79,145,163,169],"available":[19,162],"for":[20,133,149],"creating":[21],"situation":[22,106],"awareness":[23],"is":[24,114,156,170],"also":[25,141],"increasing":[26],"in":[27,90,177],"an":[28,112],"exponential":[29],"rate.":[30],"Although":[31],"technology":[32],"has":[33,47,58,81],"provided":[34,59,95],"us":[35,85],"with":[36,54,64,142],"means":[37,66],"to":[38,41,51,67,77,84,102,159],"have":[39],"access":[40],"data,":[43],"processing":[45],"methodology":[46],"not":[48,74,171],"been":[49],"able":[50],"keep":[52],"up":[53],"that":[55,80,104,111,131],"pace.":[56],"Nature":[57],"humans":[60],"other":[62],"animals":[63],"great":[65],"handle":[68],"this":[69],"issue":[70],"-":[71,154],"we":[72,96,117],"do":[73],"pay":[75],"attention":[76],"no":[82,157],"relevance":[83],"at":[86,173],"a":[87,91,174,178],"given":[88,92,175,179],"moment":[89,176],"situation.":[93,180],"However,":[94],"observe":[97],"relevant":[98,172],"cues":[99],"(e.g.":[100],"danger)":[101],"indicate":[103],"may":[107],"be":[108,139],"changing":[109],"or":[110],"entity":[113],"interest":[116],"immediately":[118],"start":[119],"paying":[120],"attention,":[121],"collecting":[122],"additional":[123],"detailed":[124],"information":[125,132,152],"phenomena":[128],"storing":[130],"future":[134],"use.":[135],"Similar":[136],"approach":[137],"would":[138],"useful":[140],"modern":[143],"distributed":[144],"acquisition":[146],"systems":[147],"catering":[148],"our":[150],"situational":[151],"needs":[153],"there":[155],"need":[158],"process":[160],"all":[161,165],"from":[164],"sources":[166],"if":[167]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
