{"id":"https://openalex.org/W2604920250","doi":"https://doi.org/10.3233/978-1-61499-722-1-585","title":"Sensor Management Strategy with Probabilistic Sensing Model for Collaborative Target Tracking in Wireless Sensor Network","display_name":"Sensor Management Strategy with Probabilistic Sensing Model for Collaborative Target Tracking in Wireless Sensor Network","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2604920250","doi":"https://doi.org/10.3233/978-1-61499-722-1-585","mag":"2604920250"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-722-1-585","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-722-1-585","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5045527959","display_name":"Yongjian Yang","orcid":"https://orcid.org/0000-0002-0056-3626"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Yong-Jian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Fan Xiao-Guang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan Xiao-Guang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wang Sheng-Da","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang Sheng-Da","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112231819","display_name":"Zhuo Zhenfu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhuo Zhen-Fu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100534777","display_name":"Jian Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma Jian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Wang Biao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang Biao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29975363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9344000220298767,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9344000220298767,"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":0.8497165441513062},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6934380531311035},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6770151853561401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.586228609085083},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4921573996543884},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.36194777488708496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22221553325653076},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06555426120758057}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.8497165441513062},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6934380531311035},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6770151853561401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.586228609085083},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4921573996543884},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.36194777488708496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22221553325653076},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06555426120758057},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-722-1-585","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-722-1-585","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W2943623134","https://openalex.org/W2494523064","https://openalex.org/W2215759665","https://openalex.org/W2030292806","https://openalex.org/W2960358116","https://openalex.org/W2938171715","https://openalex.org/W4287727129","https://openalex.org/W1975451135","https://openalex.org/W2023861399"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"collaborative":[3,90],"target":[4],"tracking":[5,48,95],"in":[6],"wireless":[7],"sensor":[8,37,55,62,67],"networks":[9],"where":[10],"the":[11,26,33,39,45,73,84,89,94],"probabilistic":[12,27],"sensing":[13,19,28],"model":[14,20,29],"is":[15,21,69],"adopted":[16,58],"because":[17],"disk":[18],"coarse":[22],"and":[23,44,59,93],"unrealistic.":[24],"However,":[25],"will":[30],"lead":[31],"to":[32],"decrease":[34],"of":[35,41,47,86],"useful":[36,87],"nodes,":[38],"degradation":[40],"detection":[42,91],"probability,":[43],"divergent":[46],"results.":[49],"To":[50],"address":[51],"those":[52],"problems,":[53],"mobile":[54,66],"nodes":[56,68],"are":[57,97],"a":[60],"novel":[61],"management":[63],"strategy":[64],"with":[65,78],"proposed":[70],"based":[71],"on":[72],"distributed":[74],"Kalman":[75],"filtering":[76],"fusion":[77],"feedback.":[79],"Simulation":[80],"results":[81],"verify":[82],"that":[83],"number":[85],"sensors,":[88],"probability":[92],"performance":[96],"obviously":[98],"improved.":[99]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
