{"id":"https://openalex.org/W2127616184","doi":"https://doi.org/10.1109/icbn.2005.1589681","title":"Analysis of a prediction-based mobility adaptive tracking algorithm","display_name":"Analysis of a prediction-based mobility adaptive tracking algorithm","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2127616184","doi":"https://doi.org/10.1109/icbn.2005.1589681","mag":"2127616184"},"language":"en","primary_location":{"id":"doi:10.1109/icbn.2005.1589681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbn.2005.1589681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2nd International Conference on Broadband Networks, 2005.","raw_type":"proceedings-article"},"type":"article","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/A5042304627","display_name":"Jennifer Yick","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Yick","raw_affiliation_strings":["Dept. of Comput. Sci., California Univ., Davis, CA, USA","Dept. of Comput. Sci., California Univ., Davis, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci., California Univ., Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"Dept. of Comput. Sci., California Univ., Davis, CA, USA#TAB#","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042930256","display_name":"Biswarup Mukherjee","orcid":"https://orcid.org/0000-0002-5952-6723"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. Mukherjee","raw_affiliation_strings":["Dept. of Comput. Sci., California Univ., Davis, CA, USA","Dept. of Comput. Sci., California Univ., Davis, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci., California Univ., Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"Dept. of Comput. Sci., California Univ., Davis, CA, USA#TAB#","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003841285","display_name":"Dipak Ghosal","orcid":"https://orcid.org/0000-0002-3827-263X"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. Ghosal","raw_affiliation_strings":["Dept. of Comput. Sci., California Univ., Davis, CA, USA","Dept. of Comput. Sci., California Univ., Davis, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci., California Univ., Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"Dept. of Comput. Sci., California Univ., Davis, CA, USA#TAB#","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4537,"has_fulltext":false,"cited_by_count":118,"citation_normalized_percentile":{"value":0.83594865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9934999942779541,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9807000160217285,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7945569753646851},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7115260362625122},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.6432371735572815},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.601048469543457},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.571779191493988},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5279765725135803},{"id":"https://openalex.org/keywords/tracking-system","display_name":"Tracking system","score":0.4921569228172302},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.47394660115242004},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.45865628123283386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39542073011398315},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3938031792640686},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3671659231185913},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3010890483856201},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14811453223228455},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.1310606598854065},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11954385042190552}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7945569753646851},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7115260362625122},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.6432371735572815},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.601048469543457},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.571779191493988},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5279765725135803},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.4921569228172302},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.47394660115242004},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.45865628123283386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39542073011398315},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3938031792640686},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3671659231185913},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3010890483856201},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14811453223228455},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.1310606598854065},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11954385042190552},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/icbn.2005.1589681","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbn.2005.1589681","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2nd International Conference on Broadband Networks, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.95.1759","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.95.1759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wwwcsif.cs.ucdavis.edu/~yick/publication/2005_yick.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W86906490","https://openalex.org/W120317439","https://openalex.org/W1536221789","https://openalex.org/W1550252191","https://openalex.org/W1584920463","https://openalex.org/W1968944075","https://openalex.org/W1974359247","https://openalex.org/W1981745755","https://openalex.org/W2072802959","https://openalex.org/W2094668682","https://openalex.org/W2103202897","https://openalex.org/W2113443014","https://openalex.org/W2119362555","https://openalex.org/W2122432011","https://openalex.org/W2157123706","https://openalex.org/W2157951318","https://openalex.org/W2162608260","https://openalex.org/W2168138985","https://openalex.org/W2171057464","https://openalex.org/W4241758379","https://openalex.org/W6632025426","https://openalex.org/W6642496156","https://openalex.org/W6643737654","https://openalex.org/W6678291227"],"related_works":["https://openalex.org/W1580685205","https://openalex.org/W2760382975","https://openalex.org/W1975451135","https://openalex.org/W2989915292","https://openalex.org/W2349716249","https://openalex.org/W2120941928","https://openalex.org/W2890570089","https://openalex.org/W1463864201","https://openalex.org/W2111773953","https://openalex.org/W2160046929"],"abstract_inverted_index":{"Target":[0],"tracking":[1,32,59,86,114,136,148],"in":[2,106,153],"wireless":[3],"sensor":[4,10],"networks":[5],"requires":[6],"efficient":[7],"coordination":[8],"among":[9],"nodes.":[11],"Existing":[12],"methods":[13],"have":[14],"focused":[15],"on":[16],"tree-based":[17],"collaboration,":[18],"selective":[19],"activation,":[20],"and":[21,45,88,111,138],"group":[22],"clustering.":[23],"This":[24,50],"paper":[25],"presents":[26],"a":[27],"prediction-based":[28],"adaptive":[29,37],"algorithm":[30],"for":[31,115,147],"mobile":[33],"targets.":[34],"We":[35],"use":[36],"Kalman":[38],"filtering":[39],"to":[40,55,63,70,78,89],"predict":[41],"the":[42,48,57,64,81,84,91,101,131,134,139,143,151],"future":[43],"location":[44,51],"velocity":[46,74],"of":[47,66,83,103,108,113,133],"target.":[49],"prediction":[52,75],"is":[53,76],"used":[54,77],"determine":[56,80],"active":[58,85,135],"region":[60,137],"which":[61],"corresponds":[62],"set":[65],"sensors":[67],"that":[68,123],"needs":[69],"be":[71],"\"lighted\".":[72],"The":[73],"adaptively":[79,129],"size":[82,132],"region,":[87],"modulate":[90],"sampling":[92,140],"rate":[93,141],"as":[94],"well.":[95],"In":[96],"this":[97],"paper,":[98],"we":[99],"quantify":[100],"benefits":[102],"our":[104],"approach":[105],"terms":[107],"energy":[109,145],"consumed":[110,146],"accuracy":[112,152],"different":[116],"mobility":[117],"patterns.":[118],"Our":[119],"simulation":[120],"results":[121],"show":[122],"advance":[124],"resource":[125],"reservation":[126],"coupled":[127],"with":[128],"changing":[130],"reduces":[142],"overall":[144],"without":[149],"affecting":[150],"tracking.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":9}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}