{"id":"https://openalex.org/W2067925351","doi":"https://doi.org/10.1109/sahcn.2014.6990401","title":"Energy efficient radio tomographic imaging","display_name":"Energy efficient radio tomographic imaging","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2067925351","doi":"https://doi.org/10.1109/sahcn.2014.6990401","mag":"2067925351"},"language":"en","primary_location":{"id":"doi:10.1109/sahcn.2014.6990401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2014.6990401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","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/A5041288620","display_name":"Mojgan Khaledi","orcid":null},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mojgan Khaledi","raw_affiliation_strings":["[ School of Computing, University of Utah]"],"affiliations":[{"raw_affiliation_string":"[ School of Computing, University of Utah]","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000720324","display_name":"Sneha Kumar Kasera","orcid":"https://orcid.org/0000-0002-5589-748X"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sneha Kumar Kasera","raw_affiliation_strings":["[ School of Computing, University of Utah]"],"affiliations":[{"raw_affiliation_string":"[ School of Computing, University of Utah]","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068259004","display_name":"Neal Patwari","orcid":"https://orcid.org/0000-0003-3440-2043"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neal Patwari","raw_affiliation_strings":["[Electrical and Computer Engineering Department, University of Utah]"],"affiliations":[{"raw_affiliation_string":"[Electrical and Computer Engineering Department, University of Utah]","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020144871","display_name":"Maurizio Bocca","orcid":null},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maurizio Bocca","raw_affiliation_strings":["[Electrical and Computer Engineering Department, University of Utah]"],"affiliations":[{"raw_affiliation_string":"[Electrical and Computer Engineering Department, University of Utah]","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041288620"],"corresponding_institution_ids":["https://openalex.org/I223532165"],"apc_list":null,"apc_paid":null,"fwci":1.0641,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.80839198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"609","last_page":"617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.9991999864578247,"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":0.7006738185882568},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6947516202926636},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.662881076335907},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5979506969451904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5957555770874023},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5873713493347168},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.5840151906013489},{"id":"https://openalex.org/keywords/radius","display_name":"RADIUS","score":0.5456451177597046},{"id":"https://openalex.org/keywords/tomographic-reconstruction","display_name":"Tomographic reconstruction","score":0.5192766189575195},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5153200030326843},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.46065613627433777},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4208764135837555},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.34927845001220703},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18695127964019775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.184573233127594},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16675952076911926},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.15718045830726624},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.11953786015510559},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08390212059020996},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07372891902923584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7006738185882568},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6947516202926636},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.662881076335907},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5979506969451904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5957555770874023},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5873713493347168},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.5840151906013489},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.5456451177597046},{"id":"https://openalex.org/C97742081","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Tomographic reconstruction","level":3,"score":0.5192766189575195},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5153200030326843},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.46065613627433777},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4208764135837555},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.34927845001220703},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18695127964019775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.184573233127594},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16675952076911926},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.15718045830726624},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11953786015510559},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08390212059020996},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07372891902923584},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sahcn.2014.6990401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sahcn.2014.6990401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.670.4818","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.670.4818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.utah.edu/%7Enpatwari/pubs/a82-khaledi.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1576186752","https://openalex.org/W1972766851","https://openalex.org/W1981108834","https://openalex.org/W1999292656","https://openalex.org/W2006327170","https://openalex.org/W2008025584","https://openalex.org/W2024661490","https://openalex.org/W2039506494","https://openalex.org/W2040925261","https://openalex.org/W2074876947","https://openalex.org/W2088648483","https://openalex.org/W2097520006","https://openalex.org/W2106335692","https://openalex.org/W2112130409","https://openalex.org/W2115612038","https://openalex.org/W2118097499","https://openalex.org/W2119116042","https://openalex.org/W2126300356","https://openalex.org/W2129045955","https://openalex.org/W2137494381","https://openalex.org/W2141336889","https://openalex.org/W2147124620","https://openalex.org/W2151034334","https://openalex.org/W2152178374","https://openalex.org/W2157291767","https://openalex.org/W2161280016","https://openalex.org/W2162814504","https://openalex.org/W2172229218","https://openalex.org/W2952327846","https://openalex.org/W4299565574","https://openalex.org/W6652272006","https://openalex.org/W6677758506","https://openalex.org/W6679997087","https://openalex.org/W6682205955","https://openalex.org/W6683604213"],"related_works":["https://openalex.org/W2982317495","https://openalex.org/W2088308468","https://openalex.org/W170151271","https://openalex.org/W2017732498","https://openalex.org/W2137532034","https://openalex.org/W2947117330","https://openalex.org/W2295596929","https://openalex.org/W1574221054","https://openalex.org/W2004988775","https://openalex.org/W1997330082"],"abstract_inverted_index":{"Abstract\u2014In":[0],"this":[1],"paper,":[2],"our":[3,65,87,178,196],"goal":[4],"is":[5,32],"to":[6,9,33,54,137,183,187],"develop":[7,147],"approaches":[8,53,158],"reduce":[10],"the":[11,41,45,56,61,78,83,103,107,118,126,138,142,156,201],"energy":[12,162],"consumption":[13,163],"in":[14,74,121,132,159,167],"Radio":[15],"Tomographic":[16],"Imaging":[17],"(RTI)-based":[18],"methods":[19],"for":[20,129,151],"device":[21],"free":[22],"localization":[23,27,165],"without":[24],"giving":[25],"up":[26],"accuracy.":[28],"Our":[29,172],"key":[30],"idea":[31],"only":[34,69,91,124],"measure":[35],"those":[36],"links":[37,59,71,93,131],"that":[38,72,94,176,195],"are":[39,73,181],"near":[40,60],"current":[42,79,104,139],"location":[43,140],"of":[44,82,106,117,141,161,190,203],"moving":[46,84,108,143],"object":[47],"being":[48],"tracked.":[49],"We":[50,145,154],"propose":[51],"two":[52],"find":[55,194],"most":[57],"effective":[58,130],"tracked":[62],"object.":[63,85,109,144],"In":[64,86],"first":[66],"approach,":[67,89,179],"we":[68,90,123,180,193],"consider":[70,92],"an":[75,114,148],"ellipse":[76],"around":[77],"velocity":[80],"vector":[81],"second":[88],"cross":[95],"through":[96],"a":[97,133],"circle":[98],"with":[99],"radius":[100],"r":[101],"from":[102],"position":[105],"Thus,":[110],"rather":[111],"than":[112],"creating":[113],"attenuation":[115,127],"image":[116,128],"whole":[119],"area":[120,135],"RTI,":[122],"create":[125],"small":[134],"close":[136],"also":[146],"adaptive":[149],"algorithm":[150],"determining":[152],"r.":[153],"evaluate":[155],"proposed":[157],"terms":[160],"and":[164],"error":[166],"three":[168],"different":[169],"test":[170],"areas.":[171],"experimental":[173],"results":[174],"show":[175],"using":[177],"able":[182],"save":[184],"50":[185],"%":[186,189],"80":[188],"energy.":[191],"Interestingly,":[192],"radius-based":[197],"approach":[198],"actually":[199],"increases":[200],"accuracy":[202],"localization.":[204],"I.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}