{"id":"https://openalex.org/W4293116469","doi":"https://doi.org/10.1186/s13638-022-02158-8","title":"An improved target tracking scheme based on MC-MPMC method for mobile wireless sensor networks","display_name":"An improved target tracking scheme based on MC-MPMC method for mobile wireless sensor networks","publication_year":2022,"publication_date":"2022-08-26","ids":{"openalex":"https://openalex.org/W4293116469","doi":"https://doi.org/10.1186/s13638-022-02158-8"},"language":"en","primary_location":{"id":"doi:10.1186/s13638-022-02158-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-022-02158-8","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://doi.org/10.1186/s13638-022-02158-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068907385","display_name":"Chunfeng Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunfeng Lv","raw_affiliation_strings":["SOU College of Engineering Science and Technology, Shanghai Ocean University, No. 999, Huchenghuan Rd, Shanghai, 201306, People\u2019s Republic of China","SOU College of Engineering Science and Technology, Shanghai Ocean University, Shanghai, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SOU College of Engineering Science and Technology, Shanghai Ocean University, No. 999, Huchenghuan Rd, Shanghai, 201306, People\u2019s Republic of China","institution_ids":["https://openalex.org/I44675526"]},{"raw_affiliation_string":"SOU College of Engineering Science and Technology, Shanghai Ocean University, Shanghai, People\u2019s Republic of China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078144370","display_name":"Jianping Zhu","orcid":"https://orcid.org/0000-0001-9182-3560"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianping Zhu","raw_affiliation_strings":["SOU College of Engineering Science and Technology, Shanghai Ocean University, No. 999, Huchenghuan Rd, Shanghai, 201306, People\u2019s Republic of China","SOU College of Engineering Science and Technology, Shanghai Ocean University, Shanghai, People\u2019s Republic of China"],"raw_orcid":"https://orcid.org/0000-0001-9182-3560","affiliations":[{"raw_affiliation_string":"SOU College of Engineering Science and Technology, Shanghai Ocean University, No. 999, Huchenghuan Rd, Shanghai, 201306, People\u2019s Republic of China","institution_ids":["https://openalex.org/I44675526"]},{"raw_affiliation_string":"SOU College of Engineering Science and Technology, Shanghai Ocean University, Shanghai, People\u2019s Republic of China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100962104","display_name":"Zhengsu Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengsu Tao","raw_affiliation_strings":["Department of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, No. 800, Dongchuan Road, Shanghai, 200240, People\u2019s Republic of China","Department of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, No. 800, Dongchuan Road, Shanghai, 200240, People\u2019s Republic of China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai, People\u2019s Republic of China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069436715","display_name":"Yihai Pi","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210121573","display_name":"Wuchang University of Technology","ror":"https://ror.org/02mqsna37","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210121573"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihai Pi","raw_affiliation_strings":["School of Power and Mechanical Engineering, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan, 430072, People\u2019s Republic of China","School of Power and Mechanical Engineering, Wuhan University, Wuhan, People\u2019s Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Power and Mechanical Engineering, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan, 430072, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210121573"]},{"raw_affiliation_string":"School of Power and Mechanical Engineering, Wuhan University, Wuhan, People\u2019s Republic of China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078144370"],"corresponding_institution_ids":["https://openalex.org/I44675526"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":0.4645,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68564453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2022","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9976000189781189,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9976000189781189,"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":0.992900013923645,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8449811935424805},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6979014873504639},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.662065863609314},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6584237217903137},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6059468388557434},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.48839229345321655},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4841083288192749},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.46790632605552673},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.4539882242679596},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4378812611103058},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4310999810695648},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34887951612472534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2671179473400116},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11936840415000916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09827804565429688},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09366503357887268}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8449811935424805},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6979014873504639},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.662065863609314},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6584237217903137},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6059468388557434},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.48839229345321655},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4841083288192749},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.46790632605552673},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.4539882242679596},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4378812611103058},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4310999810695648},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34887951612472534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2671179473400116},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11936840415000916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09827804565429688},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09366503357887268},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13638-022-02158-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-022-02158-8","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Wireless Communications and Networking","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:35552d4df8f046b2bca42af65ae138e4","is_oa":true,"landing_page_url":"https://doaj.org/article/35552d4df8f046b2bca42af65ae138e4","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":"EURASIP Journal on Wireless Communications and Networking, Vol 2022, Iss 1, Pp 1-26 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13638-022-02158-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13638-022-02158-8","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G226556652","display_name":null,"funder_award_id":"61362017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W794624801","https://openalex.org/W1572054018","https://openalex.org/W1979969656","https://openalex.org/W2000919965","https://openalex.org/W2015729136","https://openalex.org/W2015731098","https://openalex.org/W2017246830","https://openalex.org/W2042417778","https://openalex.org/W2045446260","https://openalex.org/W2065456268","https://openalex.org/W2156840067","https://openalex.org/W2272328839","https://openalex.org/W2315526458","https://openalex.org/W2526871670","https://openalex.org/W2613185366","https://openalex.org/W2735870192","https://openalex.org/W2748289912","https://openalex.org/W2769251535","https://openalex.org/W2834963557","https://openalex.org/W2949856406","https://openalex.org/W2966850160","https://openalex.org/W2969534742","https://openalex.org/W2969808173","https://openalex.org/W2997799284","https://openalex.org/W3028858418","https://openalex.org/W3118593754","https://openalex.org/W3136677631","https://openalex.org/W3175578306","https://openalex.org/W3185589277","https://openalex.org/W3206590628","https://openalex.org/W3216057765","https://openalex.org/W4200518547","https://openalex.org/W4210362383","https://openalex.org/W4220857300","https://openalex.org/W4225263202","https://openalex.org/W4280630315"],"related_works":["https://openalex.org/W2379084545","https://openalex.org/W2084086966","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1975451135","https://openalex.org/W2246563867","https://openalex.org/W2111773953"],"abstract_inverted_index":{"Abstract":[0],"Target":[1],"tracking":[2,14,40,99,162,175],"is":[3,42,74,88,141,156],"crucial":[4],"to":[5,76,90,118,143,146],"many":[6],"applications":[7],"in":[8,17,60,150],"wireless":[9],"sensor":[10],"networks":[11],"(WSNs).":[12],"Existing":[13],"schemes":[15,176],"used":[16],"WSNs":[18],"can":[19,111],"basically":[20],"be":[21,112],"classified":[22],"two":[23],"categories,":[24],"clustering":[25,30],"and":[26,135,165],"predicting.":[27],"Considering":[28],"network":[29],"consumes":[31],"much":[32],"energy":[33,148],"for":[34,67],"limited-energy":[35],"WSNs,":[36],"a":[37,115],"predicting":[38],"target":[39,55],"scheme":[41,145],"proposed":[43,75,154],"called":[44],"MC-MPMC":[45,144,172],"(measurement":[46],"compensation-based":[47],"mixture":[48,64,116],"population":[49],"Monte":[50],"Carlo)":[51],"which":[52],"tracks":[53],"the":[54,106,153],"based":[56,128],"on":[57,129],"predicted":[58],"locations":[59,94],"this":[61],"work.":[62],"Adaptive":[63],"PMC":[65],"model":[66],"generating":[68,86],"proposals":[69,107],"varying":[70],"from":[71,105],"each":[72],"iteration":[73,110],"guarantee":[77],"sampling":[78],"diversity.":[79],"And":[80],"also,":[81],"extra":[82],"measurements":[83],"or":[84,95],"observations":[85],"method":[87,117,140,155],"introduced":[89],"compensate":[91],"missed":[92],"prediction":[93],"false":[96],"estimations,":[97],"avoiding":[98],"behavior":[100],"degradation.":[101],"Firstly,":[102],"samples":[103],"drawn":[104],"of":[108,132,171],"next":[109],"generated":[113],"by":[114],"avoid":[119],"sample":[120,123],"degeneracy.":[121],"Secondly,":[122],"weights":[124],"are":[125,177],"jointly":[126],"computed":[127],"adaptive":[130],"fusion":[131],"compensation":[133],"measurement":[134],"true":[136],"measurements.":[137],"Thirdly,":[138],"HTC":[139],"combined":[142],"decrease":[147],"consumption":[149,166],"WSNs.":[151],"Then,":[152],"verified":[157],"through":[158],"comprehensive":[159],"experiments":[160],"about":[161],"error,":[163],"delay":[164],"predictions.":[167],"Moreover,":[168],"performance":[169],"comparisons":[170],"with":[173],"other":[174],"also":[178],"proposed.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}