{"id":"https://openalex.org/W2118067179","doi":"https://doi.org/10.1109/wiopt.2009.5291616","title":"Quantization, channel compensation, and energy allocation for estimation in wireless sensor networks","display_name":"Quantization, channel compensation, and energy allocation for estimation in wireless sensor networks","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2118067179","doi":"https://doi.org/10.1109/wiopt.2009.5291616","mag":"2118067179"},"language":"en","primary_location":{"id":"doi:10.1109/wiopt.2009.5291616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiopt.2009.5291616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks","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/A5013987310","display_name":"Xusheng Sun","orcid":"https://orcid.org/0000-0001-5864-4376"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xusheng Sun","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","School of Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, 30332-0250, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, 30332-0250, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023736119","display_name":"Edward J. Coyle","orcid":"https://orcid.org/0000-0002-7244-0828"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E.J. Coyle","raw_affiliation_strings":["School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","School of Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, 30332-0250, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, 30332-0250, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013987310"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.7142,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85732401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"67","issue":null,"first_page":"1","last_page":"10"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9972000122070312,"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":0.9962999820709229,"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6654519438743591},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6586267948150635},{"id":"https://openalex.org/keywords/dither","display_name":"Dither","score":0.5911045074462891},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.5678671002388},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5605759024620056},{"id":"https://openalex.org/keywords/best-linear-unbiased-prediction","display_name":"Best linear unbiased prediction","score":0.5546662211418152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5381897687911987},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5037388205528259},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.49349987506866455},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.41308659315109253},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4130639433860779},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3418641686439514},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27644115686416626},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1705743670463562},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.16437700390815735},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1465359628200531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10427287220954895},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.0822063684463501}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6654519438743591},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6586267948150635},{"id":"https://openalex.org/C70451592","wikidata":"https://www.wikidata.org/wiki/Q376493","display_name":"Dither","level":3,"score":0.5911045074462891},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.5678671002388},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5605759024620056},{"id":"https://openalex.org/C103545067","wikidata":"https://www.wikidata.org/wiki/Q796265","display_name":"Best linear unbiased prediction","level":3,"score":0.5546662211418152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5381897687911987},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5037388205528259},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.49349987506866455},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.41308659315109253},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4130639433860779},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3418641686439514},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27644115686416626},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1705743670463562},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.16437700390815735},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1465359628200531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10427287220954895},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.0822063684463501},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wiopt.2009.5291616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiopt.2009.5291616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2012987308","https://openalex.org/W2024241671","https://openalex.org/W2036149463","https://openalex.org/W2098188576","https://openalex.org/W2099705786","https://openalex.org/W2101847234","https://openalex.org/W2108970807","https://openalex.org/W2110079746","https://openalex.org/W2114424426","https://openalex.org/W2114582522","https://openalex.org/W2115758294","https://openalex.org/W2116577425","https://openalex.org/W2131091570","https://openalex.org/W2140206057","https://openalex.org/W2146035873","https://openalex.org/W2148620777","https://openalex.org/W2151685478","https://openalex.org/W2154546286","https://openalex.org/W2154828437","https://openalex.org/W2156506627","https://openalex.org/W2158336584","https://openalex.org/W2167097111","https://openalex.org/W2168452204","https://openalex.org/W6677022432"],"related_works":["https://openalex.org/W2389128124","https://openalex.org/W2364812720","https://openalex.org/W2138725603","https://openalex.org/W1984486060","https://openalex.org/W2050335563","https://openalex.org/W2094272778","https://openalex.org/W2000868246","https://openalex.org/W4210717739","https://openalex.org/W2933484786","https://openalex.org/W2067936044"],"abstract_inverted_index":{"In":[0],"clustered":[1],"networks":[2],"of":[3,12,22,153,157,165,169],"wireless":[4,33,53],"sensor":[5,123],"motes,":[6],"each":[7,84,118],"mote":[8,119],"collects":[9],"noisy":[10,32],"observations":[11,17],"the":[13,36,90,132,150,158,166,170],"environment,":[14],"quantizes":[15],"these":[16,98],"into":[18,102],"a":[19,59,65,71,103,107],"local":[20,86,100],"estimate":[21,87],"finite":[23,50],"length,":[24],"and":[25,48,78,120,178],"forwards":[26],"them":[27],"through":[28],"one":[29,105],"or":[30],"more":[31],"channels":[34],"to":[35,45,57,81,161],"Cluster":[37],"Head":[38],"(CH).":[39],"The":[40,94,113,155],"measurement":[41],"noise":[42],"is":[43,55,92,173],"assumed":[44,56],"be":[46,58],"zero-mean":[47],"have":[49],"variance.":[51],"Each":[52],"hop":[54],"Binary":[60],"Symmetric":[61],"Channel":[62],"(BSC)":[63],"with":[64],"known":[66],"crossover":[67,167],"probability.":[68],"We":[69],"propose":[70],"novel":[72],"scheme":[73,134,160],"that":[74,83,131],"uses":[75],"dithered":[76],"quantization":[77],"channel":[79,172],"compensation":[80],"ensure":[82],"motes'":[85],"received":[88],"by":[89,175],"CH":[91,95],"unbiased.":[93],"then":[96],"fuses":[97],"unbiased":[99],"estimates":[101,164],"global":[104],"using":[106,149],"Best":[108],"Linear":[109],"Unbiased":[110],"Estimator":[111],"(BLUE).":[112],"energy":[114],"allocation":[115],"problem":[116],"at":[117],"among":[121],"different":[122],"motes":[124],"are":[125],"also":[126],"discussed.":[127],"Simulation":[128],"results":[129],"show":[130],"proposed":[133,159],"can":[135],"achieve":[136],"much":[137],"smaller":[138],"mean":[139],"square":[140],"error":[141],"(MSE)":[142],"than":[143],"two":[144],"other":[145],"common":[146],"schemes":[147],"while":[148],"same":[151],"amount":[152],"energy.":[154],"sensitivity":[156],"errors":[162],"in":[163],"probability":[168],"BSC":[171],"studied":[174],"both":[176],"analysis":[177],"simulation.":[179]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}