{"id":"https://openalex.org/W1993780127","doi":"https://doi.org/10.1109/apsipa.2014.7041523","title":"Global SNR maximization for distributed estimation and capacity of data collection in wireless sensor networks using individual power constraint","display_name":"Global SNR maximization for distributed estimation and capacity of data collection in wireless sensor networks using individual power constraint","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1993780127","doi":"https://doi.org/10.1109/apsipa.2014.7041523","mag":"1993780127"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2014.7041523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","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/A5015237934","display_name":"Ajib Setyo Arifin","orcid":"https://orcid.org/0000-0002-4648-6347"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ajib Setyo Arifin","raw_affiliation_strings":["Graduate School of Science and Technology, Keio University, Kohoku-ku, Yokohama, Japan","Graduate School of Science and Technology, Keio University, 3\u201014\u20101, Hiyoshi, Kohoku\u2010ku, Yokohama 223\u20108522, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Keio University, Kohoku-ku, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"Graduate School of Science and Technology, Keio University, 3\u201014\u20101, Hiyoshi, Kohoku\u2010ku, Yokohama 223\u20108522, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016337773","display_name":"Tomoaki Ohtsuki","orcid":"https://orcid.org/0000-0003-3961-1426"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoaki Ohtsuki","raw_affiliation_strings":["Graduate School of Science and Technology, Keio University, Kohoku-ku, Yokohama, Japan","Graduate School of Science and Technology, Keio University, 3\u201014\u20101, Hiyoshi, Kohoku\u2010ku, Yokohama 223\u20108522, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Keio University, Kohoku-ku, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"Graduate School of Science and Technology, Keio University, 3\u201014\u20101, Hiyoshi, Kohoku\u2010ku, Yokohama 223\u20108522, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07039734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"55","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9998000264167786,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9998000264167786,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9980000257492065,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9922999739646912,"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/mutual-information","display_name":"Mutual information","score":0.6917946934700012},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6829744577407837},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6504063606262207},{"id":"https://openalex.org/keywords/transmitter-power-output","display_name":"Transmitter power output","score":0.618104875087738},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5804486274719238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5571216344833374},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.5349805355072021},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5245183706283569},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.47670406103134155},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4696331024169922},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4570361375808716},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.41225171089172363},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3698697090148926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36142969131469727},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2641887068748474},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13434100151062012},{"id":"https://openalex.org/keywords/transmitter","display_name":"Transmitter","score":0.090838223695755},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07891622185707092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07697930932044983}],"concepts":[{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6917946934700012},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6829744577407837},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6504063606262207},{"id":"https://openalex.org/C65422117","wikidata":"https://www.wikidata.org/wiki/Q358527","display_name":"Transmitter power output","level":4,"score":0.618104875087738},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5804486274719238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5571216344833374},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.5349805355072021},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5245183706283569},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.47670406103134155},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4696331024169922},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4570361375808716},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.41225171089172363},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3698697090148926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36142969131469727},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2641887068748474},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13434100151062012},{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.090838223695755},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07891622185707092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07697930932044983},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2014.7041523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W64453941","https://openalex.org/W1278605765","https://openalex.org/W1542464532","https://openalex.org/W1983423017","https://openalex.org/W2006327524","https://openalex.org/W2006856797","https://openalex.org/W2059430087","https://openalex.org/W2073549578","https://openalex.org/W2076399305","https://openalex.org/W2096634246","https://openalex.org/W2111616148","https://openalex.org/W2118668949","https://openalex.org/W2121340892","https://openalex.org/W2130403046","https://openalex.org/W2133298657","https://openalex.org/W2137775453","https://openalex.org/W2146159197","https://openalex.org/W2156188630","https://openalex.org/W2157729447","https://openalex.org/W2158073756","https://openalex.org/W2168571759","https://openalex.org/W2296319761","https://openalex.org/W3146700414","https://openalex.org/W6652040817"],"related_works":["https://openalex.org/W2785601041","https://openalex.org/W2241417046","https://openalex.org/W2908598672","https://openalex.org/W2597403208","https://openalex.org/W4307206503","https://openalex.org/W1983106178","https://openalex.org/W2393900892","https://openalex.org/W4306760398","https://openalex.org/W1566144976","https://openalex.org/W2981790152"],"abstract_inverted_index":{"We":[0,29,76,95,111],"consider":[1],"distributed":[2],"estimation":[3],"in":[4,46,69],"wireless":[5],"sensor":[6],"networks":[7],"(WSNs).":[8],"Using":[9],"linear":[10],"minimum":[11],"mean":[12,19],"squared":[13,20],"error":[14,21],"(LMMSE)":[15],"estimator,":[16],"we":[17,39,60],"derive":[18,41,61,78],"(MSE)":[22],"to":[23,34,143],"measure":[24],"the":[25,57,82,86,89,135,140,153],"quality":[26],"of":[27,43,48,53,81,91,118,152],"estimation.":[28],"introduce":[30],"a":[31],"global":[32,58,83],"signal":[33],"noise":[35],"ratio":[36],"(SNR),":[37],"where":[38],"can":[40],"capacity":[42],"data":[44],"collection":[45],"terms":[47],"mutual":[49,102,116],"information":[50,103,117],"as":[51,98,100],"reciprocity":[52],"MSE.":[54],"Based":[55],"on":[56],"SNR,":[59],"equal":[62,119],"power":[63,67,87,109,120,124,130,142,151],"allocation":[64,68,121],"and":[65,88,107,115],"optimal":[66,123],"orthogonal":[70],"multiple":[71],"access":[72],"channel":[73],"(MAC)":[74],"models.":[75],"also":[77],"asymptotic":[79],"behavior":[80],"SNR":[84],"when":[85],"number":[90],"sensors":[92],"become":[93],"unlimited.":[94],"minimize":[96],"MSE":[97,114],"well":[99],"maximize":[101],"by":[104,148],"considering":[105],"total":[106],"individual":[108,129],"constraints.":[110],"show":[112],"that":[113,138],"outperforms":[122],"allocation.":[125],"Moreover,":[126],"system":[127,136],"with":[128],"constraint":[131],"is":[132,146],"worse":[133],"than":[134],"without":[137],"because":[139],"suggested":[141],"be":[144],"allocated":[145],"constrained":[147],"maximum":[149],"transmit":[150],"sensors.":[154]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
