{"id":"https://openalex.org/W4296460613","doi":"https://doi.org/10.3390/e24091315","title":"Multi-Sensor Scheduling Method Based on Joint Risk Assessment with Variable Weight","display_name":"Multi-Sensor Scheduling Method Based on Joint Risk Assessment with Variable Weight","publication_year":2022,"publication_date":"2022-09-19","ids":{"openalex":"https://openalex.org/W4296460613","doi":"https://doi.org/10.3390/e24091315","pmid":"https://pubmed.ncbi.nlm.nih.gov/36141201"},"language":"en","primary_location":{"id":"doi:10.3390/e24091315","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24091315","pdf_url":"https://www.mdpi.com/1099-4300/24/9/1315/pdf?version=1663766777","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/24/9/1315/pdf?version=1663766777","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070900410","display_name":"Lin Zhou","orcid":"https://orcid.org/0000-0002-2700-834X"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhou","raw_affiliation_strings":["School of Artificial Intelligence, Henan University, Zhengzhou 450046, China"],"raw_orcid":"https://orcid.org/0000-0002-2700-834X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, Zhengzhou 450046, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090521771","display_name":"Jiawei Wu","orcid":"https://orcid.org/0000-0003-3601-5944"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Wu","raw_affiliation_strings":["School of Artificial Intelligence, Henan University, Zhengzhou 450046, China"],"raw_orcid":"https://orcid.org/0000-0003-3601-5944","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, Zhengzhou 450046, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002035574","display_name":"Qian Wei","orcid":"https://orcid.org/0000-0002-3413-9292"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Wei","raw_affiliation_strings":["School of Artificial Intelligence, Henan University, Zhengzhou 450046, China"],"raw_orcid":"https://orcid.org/0000-0002-3413-9292","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, Zhengzhou 450046, China","institution_ids":["https://openalex.org/I173899330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029424274","display_name":"Wentao Shi","orcid":"https://orcid.org/0000-0003-2648-1183"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wentao Shi","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an 710072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an 710072, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037952139","display_name":"Yong Jin","orcid":"https://orcid.org/0000-0001-9325-5966"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Jin","raw_affiliation_strings":["School of Artificial Intelligence, Henan University, Zhengzhou 450046, China"],"raw_orcid":"https://orcid.org/0000-0001-9325-5966","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Henan University, Zhengzhou 450046, China","institution_ids":["https://openalex.org/I173899330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002035574","https://openalex.org/A5029424274"],"corresponding_institution_ids":["https://openalex.org/I17145004","https://openalex.org/I173899330"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.1133,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45493996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"24","issue":"9","first_page":"1315","last_page":"1315"},"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":0.9980999827384949,"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":0.9980999827384949,"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":0.9916999936103821,"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.9613000154495239,"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/computer-science","display_name":"Computer science","score":0.6745433211326599},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6052179336547852},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.4263136684894562},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4247207045555115},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.362140953540802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12625917792320251}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6745433211326599},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6052179336547852},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.4263136684894562},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4247207045555115},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.362140953540802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12625917792320251},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e24091315","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24091315","pdf_url":"https://www.mdpi.com/1099-4300/24/9/1315/pdf?version=1663766777","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:36141201","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36141201","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:c161420c2c734c0c914084fb95763579","is_oa":true,"landing_page_url":"https://doaj.org/article/c161420c2c734c0c914084fb95763579","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 24, Iss 9, p 1315 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/24/9/1315/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e24091315","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy; Volume 24; Issue 9; Pages: 1315","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9497982","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9497982","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e24091315","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24091315","pdf_url":"https://www.mdpi.com/1099-4300/24/9/1315/pdf?version=1663766777","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296460613.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1588226001","https://openalex.org/W2065070128","https://openalex.org/W2144910638","https://openalex.org/W2248957135","https://openalex.org/W2342102343","https://openalex.org/W2509462886","https://openalex.org/W2783199110","https://openalex.org/W2910193351","https://openalex.org/W2911855055","https://openalex.org/W2944480198","https://openalex.org/W2946912039","https://openalex.org/W2954083076","https://openalex.org/W2955184042","https://openalex.org/W2968947690","https://openalex.org/W2979545136","https://openalex.org/W3001627237","https://openalex.org/W3014356247","https://openalex.org/W3023853940","https://openalex.org/W3030094561","https://openalex.org/W3163931418","https://openalex.org/W3204019129","https://openalex.org/W6768868548"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"In":[0],"multi-sensor":[1,27,114,147],"cooperative":[2],"detection":[3],"systems,":[4],"to":[5,80,118],"reduce":[6],"target":[7,15,41,57,65,70,102,106],"threat":[8,58,66,107],"risk":[9,17,33,67,78,85,91,104,127],"caused":[10],"by":[11,19,61,175],"attack":[12],"tasks":[13],"and":[14,43,68,105,109,142,152,171],"loss":[16,71,103],"induced":[18],"uncertain":[20],"environmental":[21],"factors,":[22],"this":[23,50,73,130],"paper":[24,51,74,131],"proposes":[25],"a":[26,53,76,88,139],"scheduling":[28,115,157],"method":[29,166],"based":[30,96],"on":[31,97],"joint":[32,77,90,126],"assessment":[34,92],"with":[35],"variable":[36],"weight.":[37],"Firstly,":[38],"considering":[39],"the":[40,63,69,82,98,110,120,124,134,144,150,155,164],"state":[42],"prior":[44],"expert":[45],"experience":[46],"of":[47,56,84,101,113,123,146,154],"sensor":[48,156,178],"scheduling,":[49,148],"gives":[52],"new":[54],"scheme":[55,145],"risk.":[59],"Then,":[60],"combining":[62],"given":[64,95],"risk,":[72,108],"constructs":[75],"model":[79,93],"meet":[81],"diversity":[83],"assessment.":[86],"Secondly,":[87],"variable-weighted":[89,125],"is":[94,116],"adaptive":[99],"weight":[100],"optimization":[111,136,153],"problem":[112,137,141],"described":[117],"minimize":[119],"multi-step":[121],"prediction":[122],"model.":[128],"Finally,":[129],"relaxes":[132],"above":[133],"non-convex":[135],"as":[138],"subconvex":[140],"designs":[143],"improving":[149],"rapidity":[151],"solution.":[158],"The":[159],"simulation":[160],"results":[161],"show":[162],"that":[163],"proposed":[165],"can":[167],"adaptively":[168],"schedule":[169],"sensors":[170],"accurately":[172],"track":[173],"targets":[174],"using":[176],"minimum":[177],"resources.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
