{"id":"https://openalex.org/W2170526903","doi":"https://doi.org/10.1145/2426656.2426705","title":"Pattern-based matrix-size optimization algorithm for compressive sensing in real-world wireless sensor networks","display_name":"Pattern-based matrix-size optimization algorithm for compressive sensing in real-world wireless sensor networks","publication_year":2012,"publication_date":"2012-11-06","ids":{"openalex":"https://openalex.org/W2170526903","doi":"https://doi.org/10.1145/2426656.2426705","mag":"2170526903"},"language":"en","primary_location":{"id":"doi:10.1145/2426656.2426705","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2426656.2426705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems","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/A5068674456","display_name":"Akito Ito","orcid":null},"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":true,"raw_author_name":"Akito Ito","raw_affiliation_strings":["Keio University"],"affiliations":[{"raw_affiliation_string":"Keio University","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090870885","display_name":"Naoya Namatame","orcid":"https://orcid.org/0000-0002-2250-7289"},"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":"Naoya Namatame","raw_affiliation_strings":["Keio University"],"affiliations":[{"raw_affiliation_string":"Keio University","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085786840","display_name":"Jin Nakazawa","orcid":"https://orcid.org/0000-0001-9718-4552"},"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":"Jin Nakazawa","raw_affiliation_strings":["Keio University"],"affiliations":[{"raw_affiliation_string":"Keio University","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103726965","display_name":"Hideyuki Tokuda","orcid":null},"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":"Hideyuki Tokuda","raw_affiliation_strings":["Keio University"],"affiliations":[{"raw_affiliation_string":"Keio University","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068674456"],"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":0.17443939,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"355","last_page":"356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9984999895095825,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.8201740980148315},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7315304279327393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6803634762763977},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6314334273338318},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6085333824157715},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.5728560090065002},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.5420054793357849},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5105186700820923},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.49556124210357666},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4871978163719177},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4787137508392334},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.45208540558815},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.17696616053581238},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11410850286483765},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09220024943351746}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8201740980148315},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7315304279327393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6803634762763977},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6314334273338318},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6085333824157715},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.5728560090065002},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.5420054793357849},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5105186700820923},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.49556124210357666},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4871978163719177},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4787137508392334},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.45208540558815},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.17696616053581238},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11410850286483765},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09220024943351746},{"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/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},{"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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2426656.2426705","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2426656.2426705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335839","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1972091546","https://openalex.org/W1973675857","https://openalex.org/W1983028058","https://openalex.org/W2001112302","https://openalex.org/W2011233235","https://openalex.org/W2015418199","https://openalex.org/W2017761965","https://openalex.org/W2068832822","https://openalex.org/W2095595785","https://openalex.org/W2095971510","https://openalex.org/W2095978736","https://openalex.org/W2100068253","https://openalex.org/W2103365331","https://openalex.org/W2104706302","https://openalex.org/W2110876751","https://openalex.org/W2119667497","https://openalex.org/W2129480985","https://openalex.org/W2139519968","https://openalex.org/W2139718868","https://openalex.org/W2140847041","https://openalex.org/W2141149974","https://openalex.org/W2143698637","https://openalex.org/W2144685889","https://openalex.org/W2157294617","https://openalex.org/W2160979406","https://openalex.org/W2161426071","https://openalex.org/W2163207780","https://openalex.org/W2166816868","https://openalex.org/W2170239483","https://openalex.org/W2295549646"],"related_works":["https://openalex.org/W2889294138","https://openalex.org/W2150066276","https://openalex.org/W4387870235","https://openalex.org/W2046270755","https://openalex.org/W2005032074","https://openalex.org/W2356275480","https://openalex.org/W4250067459","https://openalex.org/W2520516827","https://openalex.org/W3030866127","https://openalex.org/W2938042419"],"abstract_inverted_index":{"Compressive":[0],"Sensing":[1],"(CS)":[2],"is":[3,31,44,68],"a":[4,15,45,62],"novel":[5],"approach":[6],"for":[7,34],"data":[8],"representation,":[9],"which":[10,98],"can":[11],"represent":[12],"signals":[13],"at":[14],"rate":[16,20],"below":[17],"the":[18,78,89,102],"Nyquist":[19],"with":[21],"low":[22,35],"computation":[23],"costs":[24],"on":[25],"encoder.":[26],"For":[27],"these":[28,67],"characteristics,":[29],"CS":[30,60],"very":[32],"suitable":[33],"power":[36,41,81,108],"sensor":[37,72],"nodes":[38],"to":[39,100],"save":[40],"consumption":[42,82],"that":[43,69],"primary":[46],"problem":[47],"in":[48,61],"Wireless":[49],"Sensor":[50],"Networks":[51],"(WSN).":[52],"But":[53],"there":[54],"are":[55],"many":[56],"problems":[57],"when":[58],"using":[59],"real":[63],"environment.":[64],"One":[65],"of":[66,71,80,85,104],"pattern":[70],"values":[73],"change":[74],"dynamically.":[75],"It":[76],"decreases":[77],"efficiency":[79],"and":[83,107],"accuracy":[84,103],"recovery.":[86],"To":[87],"solve":[88],"problem,":[90],"we":[91],"propose":[92],"Pattern-based":[93],"Matrix-size":[94],"Optimization":[95],"Algorithm":[96],"(PMOA),":[97],"aims":[99],"improve":[101],"exact":[105],"recovery":[106],"consumption.":[109]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}