{"id":"https://openalex.org/W2490747853","doi":"https://doi.org/10.1109/bsn.2016.7516234","title":"Probabilistic sensor network design","display_name":"Probabilistic sensor network design","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2490747853","doi":"https://doi.org/10.1109/bsn.2016.7516234","mag":"2490747853"},"language":"en","primary_location":{"id":"doi:10.1109/bsn.2016.7516234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn.2016.7516234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5041208534","display_name":"Jeroen Bergmann","orcid":"https://orcid.org/0000-0001-7306-2630"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jeroen Bergmann","raw_affiliation_strings":["Department of Engineering Science, University of Oxford, Oxford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077728082","display_name":"J. Alison Noble","orcid":"https://orcid.org/0000-0002-3060-3772"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alison Noble","raw_affiliation_strings":["Department of Engineering Science, University of Oxford, Oxford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023200067","display_name":"Mark S. Thompson","orcid":"https://orcid.org/0000-0001-8958-0336"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mark Thompson","raw_affiliation_strings":["Department of Engineering Science, University of Oxford, Oxford, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Science, University of Oxford, Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I40120149"],"apc_list":null,"apc_paid":null,"fwci":0.1941,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46806046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"66","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9704999923706055,"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"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9704999923706055,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9595000147819519,"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/T10320","display_name":"Neural Networks and Applications","score":0.9448999762535095,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7687238454818726},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7100906372070312},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6222078204154968},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.48219648003578186},{"id":"https://openalex.org/keywords/network-planning-and-design","display_name":"Network planning and design","score":0.4171481132507324},{"id":"https://openalex.org/keywords/network-model","display_name":"Network model","score":0.41459769010543823},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36161988973617554},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3214995265007019},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2537345886230469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22527560591697693}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7687238454818726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7100906372070312},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6222078204154968},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.48219648003578186},{"id":"https://openalex.org/C114563136","wikidata":"https://www.wikidata.org/wiki/Q19725982","display_name":"Network planning and design","level":2,"score":0.4171481132507324},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.41459769010543823},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36161988973617554},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3214995265007019},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2537345886230469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22527560591697693},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bsn.2016.7516234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn.2016.7516234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","raw_type":"proceedings-article"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:62aa2a54-09cb-4b01-a4d1-0091357a9d25","is_oa":false,"landing_page_url":"https://ora.ox.ac.uk/objects/uuid:62aa2a54-09cb-4b01-a4d1-0091357a9d25","pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements at Oxford","raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8386820682","display_name":null,"funder_award_id":"BB/N013352/1","funder_id":"https://openalex.org/F4320334629","funder_display_name":"Biotechnology and Biological Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334629","display_name":"Biotechnology and Biological Sciences Research Council","ror":"https://ror.org/00cwqg982"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1972560785","https://openalex.org/W1974652544","https://openalex.org/W2072822711"],"related_works":["https://openalex.org/W2002739602","https://openalex.org/W2345647014","https://openalex.org/W2201192772","https://openalex.org/W3136891595","https://openalex.org/W2535030201","https://openalex.org/W1964819397","https://openalex.org/W2388649392","https://openalex.org/W2371990601","https://openalex.org/W2609343117","https://openalex.org/W4252251609"],"abstract_inverted_index":{"Sensor":[0],"networks":[1],"are":[2,107],"designed":[3],"to":[4,38,41,64,80,175],"detect":[5,23],"events":[6,24],"and":[7,105,129,135,147,160,172],"their":[8],"applicability":[9],"is":[10,96,103,116],"dependent":[11],"on":[12],"the":[13,48,82,110,136,139,145,148,158,161],"likelihood":[14],"of":[15,57,89,109,138],"a":[16,26,66,77,90,119,154],"correct":[17],"detection.":[18],"A":[19,101],"network":[20,44,59,84,93,167,178],"that":[21],"can't":[22],"with":[25],"high":[27],"enough":[28],"probability":[29],"becomes":[30],"ineffective.":[31],"Therefore,":[32],"it":[33,62],"can":[34,75],"be":[35,39],"very":[36],"valuable":[37],"able":[40],"establish":[42],"which":[43],"design":[45,85],"might":[46],"yield":[47],"best":[49],"detection":[50],"rate.":[51],"The":[52,87,113,142,163],"endless":[53],"possibilities":[54],"in":[55,98,118],"terms":[56],"sensor":[58,83,92,166,177],"designs":[60,179],"make":[61],"difficult":[63],"apply":[65],"pure":[67],"experimental":[68],"method.":[69],"Computational":[70],"modelling":[71],"using":[72],"statistical":[73],"techniques":[74],"provide":[76],"useful":[78],"tool":[79,174],"explore":[81],"space.":[86],"concept":[88],"probabilistic":[91,165],"(PSN)":[94],"model":[95,115,149],"introduced":[97],"this":[99],"paper.":[100],"framework":[102],"established":[104],"examples":[106],"given":[108],"PSN":[111,114,140],"model.":[112,141,162],"tested":[117],"hypothetical":[120],"scenario":[121],"by":[122],"computing":[123],"Root":[124],"Mean":[125],"Square":[126],"Errors":[127,131],"(RMSEs)":[128],"Absolute":[130],"between":[132,144,157],"simulation":[133,146,159],"outcomes":[134],"results":[137],"RMSEs":[143],"were":[150],"approximately":[151],"0.02":[152],"indicating":[153],"close":[155],"comparison":[156],"proposed":[164],"method":[168],"provides":[169],"an":[170],"intuitive":[171],"promising":[173],"test":[176],"virtually.":[180]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}