{"id":"https://openalex.org/W3016182055","doi":"https://doi.org/10.1109/icassp40776.2020.9053596","title":"An Optimal Symmetric Threshold Strategy for Remote Estimation Over The Collision Channel","display_name":"An Optimal Symmetric Threshold Strategy for Remote Estimation Over The Collision Channel","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016182055","doi":"https://doi.org/10.1109/icassp40776.2020.9053596","mag":"3016182055"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100437160","display_name":"Xu Zhang","orcid":"https://orcid.org/0000-0001-6557-6607"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007384409","display_name":"Marcos M. Vasconcelos","orcid":"https://orcid.org/0000-0002-8784-5916"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marcos M. Vasconcelos","raw_affiliation_strings":["Ming Hsieh Department of Electrical Engineering, University of Southern California, USA"],"affiliations":[{"raw_affiliation_string":"Ming Hsieh Department of Electrical Engineering, University of Southern California, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012941237","display_name":"Wei Cui","orcid":"https://orcid.org/0000-0001-8532-8328"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Cui","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072739163","display_name":"Urbashi Mitra","orcid":"https://orcid.org/0000-0002-8896-1177"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Urbashi Mitra","raw_affiliation_strings":["Ming Hsieh Department of Electrical Engineering, University of Southern California, USA"],"affiliations":[{"raw_affiliation_string":"Ming Hsieh Department of Electrical Engineering, University of Southern California, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100437160"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.4625,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65331163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"54","issue":null,"first_page":"9195","last_page":"9199"},"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":1.0,"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":1.0,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9944000244140625,"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":0.9914000034332275,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.8545980453491211},{"id":"https://openalex.org/keywords/independent-and-identically-distributed-random-variables","display_name":"Independent and identically distributed random variables","score":0.700092077255249},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6733481287956238},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.6504338979721069},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.598321795463562},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5881242156028748},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.5608009696006775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5465216636657715},{"id":"https://openalex.org/keywords/uniqueness","display_name":"Uniqueness","score":0.526808500289917},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.42505210638046265},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.42271989583969116},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4190746247768402},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4140290915966034},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.4081599712371826},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3970986008644104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3123742938041687},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.2568632960319519},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.24632173776626587},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18125373125076294},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1206718385219574}],"concepts":[{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.8545980453491211},{"id":"https://openalex.org/C141513077","wikidata":"https://www.wikidata.org/wiki/Q378542","display_name":"Independent and identically distributed random variables","level":3,"score":0.700092077255249},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6733481287956238},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.6504338979721069},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.598321795463562},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5881242156028748},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.5608009696006775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5465216636657715},{"id":"https://openalex.org/C2777021972","wikidata":"https://www.wikidata.org/wiki/Q22976830","display_name":"Uniqueness","level":2,"score":0.526808500289917},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.42505210638046265},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.42271989583969116},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4190746247768402},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4140290915966034},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.4081599712371826},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3970986008644104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3123742938041687},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.2568632960319519},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.24632173776626587},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18125373125076294},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1206718385219574},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":16,"referenced_works":["https://openalex.org/W388911219","https://openalex.org/W2007576974","https://openalex.org/W2075872878","https://openalex.org/W2110647183","https://openalex.org/W2120718030","https://openalex.org/W2143128811","https://openalex.org/W2160539257","https://openalex.org/W2314622687","https://openalex.org/W2344639242","https://openalex.org/W2586428935","https://openalex.org/W2791885538","https://openalex.org/W2883336426","https://openalex.org/W2917087093","https://openalex.org/W2964201338","https://openalex.org/W4254024399","https://openalex.org/W6760005465"],"related_works":["https://openalex.org/W2347733609","https://openalex.org/W3116505327","https://openalex.org/W2066502241","https://openalex.org/W2605475288","https://openalex.org/W2000147971","https://openalex.org/W2292976891","https://openalex.org/W4240383795","https://openalex.org/W4297848787","https://openalex.org/W4245457074","https://openalex.org/W2128683635"],"abstract_inverted_index":{"A":[0],"wireless":[1],"sensing":[2],"system":[3],"with":[4,15],"n":[5,74],"sensors,":[6],"observing":[7],"independent":[8],"and":[9,21,65,106],"identically":[10],"distributed":[11],"continuous":[12],"random":[13],"variables":[14],"a":[16,27,41,48,82,91,95],"symmetric":[17,83],"probability":[18],"density":[19],"function,":[20],"one":[22],"non-collocated":[23],"estimator":[24],"acting":[25],"as":[26],"fusion":[28,38],"center":[29,39],"is":[30,52,56,99],"considered.":[31,100],"The":[32],"sensors":[33,61],"transmit":[34],"information":[35],"to":[36,63],"the":[37,60,66,87,104,109],"via":[40],"limited":[42],"capacity":[43],"communication":[44,58,85],"medium":[45],"modeled":[46],"by":[47],"collision":[49,67],"channel.":[50],"It":[51],"assumed":[53],"that":[54,78,93],"there":[55],"no":[57],"among":[59],"prior":[62],"transmission,":[64],"channel":[68],"allows":[69],"at":[70],"most":[71],"k":[72],"<":[73],"simultaneous":[75],"transmissions.":[76],"Assuming":[77],"each":[79],"sensor":[80],"uses":[81],"threshold":[84,92,111],"strategy,":[86],"problem":[88],"of":[89,108],"designing":[90],"minimizes":[94],"mean-squared":[96],"error":[97],"criterion":[98],"Theoretical":[101],"analysis":[102],"shows":[103],"existence":[105],"uniqueness":[107],"optimal":[110],"for":[112],"this":[113],"optimization":[114],"problem.":[115]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}