{"id":"https://openalex.org/W2087102161","doi":"https://doi.org/10.1186/1687-1499-2013-5","title":"Optimum sampling in spatial-temporally correlated wireless sensor networks","display_name":"Optimum sampling in spatial-temporally correlated wireless sensor networks","publication_year":2013,"publication_date":"2013-01-04","ids":{"openalex":"https://openalex.org/W2087102161","doi":"https://doi.org/10.1186/1687-1499-2013-5","mag":"2087102161"},"language":"en","primary_location":{"id":"doi:10.1186/1687-1499-2013-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-1499-2013-5","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-1499-2013-5","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-1499-2013-5","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101612762","display_name":"Ning Sun","orcid":"https://orcid.org/0000-0002-7048-1503"},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ning Sun","raw_affiliation_strings":["Department of Electrical Engineering, University of Arkansas, Fayetteville, AR 72701 USA","Department of Electrical Engineering, University of Arkansas,Fayetteville,USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Arkansas, Fayetteville, AR 72701 USA","institution_ids":["https://openalex.org/I78715868"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Arkansas,Fayetteville,USA","institution_ids":["https://openalex.org/I78715868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086922409","display_name":"Jingxian Wu","orcid":"https://orcid.org/0000-0003-1167-6930"},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingxian Wu","raw_affiliation_strings":["Department of Electrical Engineering, University of Arkansas, Fayetteville, AR 72701 USA","Department of Electrical Engineering, University of Arkansas,Fayetteville,USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Arkansas, Fayetteville, AR 72701 USA","institution_ids":["https://openalex.org/I78715868"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Arkansas,Fayetteville,USA","institution_ids":["https://openalex.org/I78715868"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101612762"],"corresponding_institution_ids":["https://openalex.org/I78715868"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":5.0744,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.95778028,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2013","issue":"1","first_page":null,"last_page":null},"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":0.996999979019165,"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":0.9945999979972839,"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/sampling","display_name":"Sampling (signal processing)","score":0.7436033487319946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6745874881744385},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5750336647033691},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5206922292709351},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.512185275554657},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.47227510809898376},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.390686959028244},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18009203672409058},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12712112069129944},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.10593777894973755},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.0965469479560852}],"concepts":[{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.7436033487319946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6745874881744385},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5750336647033691},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5206922292709351},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.512185275554657},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.47227510809898376},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.390686959028244},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18009203672409058},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12712112069129944},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.10593777894973755},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0965469479560852},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/1687-1499-2013-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-1499-2013-5","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-1499-2013-5","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/1687-1499-2013-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-1499-2013-5","pdf_url":"https://jwcn-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-1499-2013-5","source":{"id":"https://openalex.org/S82675988","display_name":"EURASIP Journal on Wireless Communications and Networking","issn_l":"1687-1472","issn":["1687-1472","1687-1499"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2087102161.pdf","grobid_xml":"https://content.openalex.org/works/W2087102161.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1525535255","https://openalex.org/W1967077605","https://openalex.org/W1998400838","https://openalex.org/W2000267193","https://openalex.org/W2017067487","https://openalex.org/W2058150001","https://openalex.org/W2063260547","https://openalex.org/W2106540768","https://openalex.org/W2108092785","https://openalex.org/W2109742777","https://openalex.org/W2120059822","https://openalex.org/W2122692381","https://openalex.org/W2132105090","https://openalex.org/W2142355131","https://openalex.org/W2145940139","https://openalex.org/W2150497041","https://openalex.org/W2156723804","https://openalex.org/W2157005274","https://openalex.org/W2162658997","https://openalex.org/W2166896534","https://openalex.org/W2167042458","https://openalex.org/W3008609509","https://openalex.org/W4206180546"],"related_works":["https://openalex.org/W2327053383","https://openalex.org/W2356834760","https://openalex.org/W1964600846","https://openalex.org/W2790025453","https://openalex.org/W2127563499","https://openalex.org/W2030191005","https://openalex.org/W2027568561","https://openalex.org/W1521521035","https://openalex.org/W1865172210","https://openalex.org/W2120897947"],"abstract_inverted_index":{"The":[0,23,78,91,117,155],"optimum":[1],"sampling":[2,34,67,82,140,168],"in":[3,20,29,36,88,110],"the":[4,26,30,33,37,41,46,70,95,98,103,106,112,126,131,136,145,151,158,178],"one-and":[5],"two-dimensional":[6],"(1-D":[7],"and":[8,40,64,105,114,174,186],"2-D)":[9],"wireless":[10],"sensor":[11],"networks":[12],"(WSNs)":[13],"with":[14,57,184],"spatial-temporally":[15],"correlated":[16],"data":[17,43,123],"is":[18,86,141],"studied":[19],"this":[21],"article.":[22],"impacts":[24,176],"of":[25,72,80,97],"node":[27,62,165],"density":[28,63],"space":[31,113],"domain,":[32,39],"rate":[35],"time":[38,115],"space-time":[42,81,99,127,139],"correlation":[44],"on":[45,83,125,177],"network":[47,56,84,152,160],"performance":[48,180],"are":[49,108,181],"investigated":[50,87],"asymptotically":[51],"by":[52,102,129,135,143],"considering":[53],"a":[54],"large":[55],"infinite":[58],"area":[59],"but":[60],"finite":[61,65],"temporal":[66,167],"rate,":[68,169],"under":[69],"constraint":[71],"fixed":[73],"power":[74],"per":[75],"unit":[76],"area.":[77],"impact":[79],"performances":[85],"two":[89],"cases.":[90],"first":[92],"case":[93,119],"studies":[94],"estimations":[96],"samples":[100,107,133],"collected":[101,134],"sensors,":[104],"discrete":[109,132],"both":[111],"domains.":[116],"second":[118],"estimates":[120],"an":[121],"arbitrary":[122],"point":[124],"hyperplane":[128],"interpolating":[130],"sensors.":[137],"Optimum":[138],"obtained":[142],"minimizing":[144],"mean":[146],"square":[147],"error":[148],"distortion":[149],"at":[150],"fusion":[153],"center.":[154],"interactions":[156],"among":[157],"various":[159],"parameters,":[161],"such":[162],"as":[163],"spatial":[164],"density,":[166],"measurement":[170],"noise,":[171],"channel":[172],"fading,":[173],"their":[175],"system":[179],"quantitatively":[182],"identified":[183],"analytical":[185],"numerical":[187],"studies.":[188]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}