{"id":"https://openalex.org/W1678998725","doi":"https://doi.org/10.1109/iwcmc.2015.7289314","title":"Comparative study of learning-based localization algorithms for Wireless Sensor Networks: Support Vector regression, Neural Network and Na&amp;#x00EF;ve Bayes","display_name":"Comparative study of learning-based localization algorithms for Wireless Sensor Networks: Support Vector regression, Neural Network and Na&amp;#x00EF;ve Bayes","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1678998725","doi":"https://doi.org/10.1109/iwcmc.2015.7289314","mag":"1678998725"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2015.7289314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2015.7289314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Wireless Communications and Mobile Computing Conference (IWCMC)","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/A5078530015","display_name":"Hanen Ahmadi","orcid":"https://orcid.org/0000-0001-9319-6177"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]},{"id":"https://openalex.org/I4210110695","display_name":"Universit\u00e9 Tunis Carthage","ror":"https://ror.org/01xf5pq20","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210110695"]},{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Hanen Ahmadi","raw_affiliation_strings":["Sup'Com, Universit\u00e9 de Carthage, Tunis, Tunisie","Universit\u00e9 de Tunis El Manar, Ecole National d'Ing\u00e9nieur de Tunis, Tunis, Tunisie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sup'Com, Universit\u00e9 de Carthage, Tunis, Tunisie","institution_ids":["https://openalex.org/I4210110695"]},{"raw_affiliation_string":"Universit\u00e9 de Tunis El Manar, Ecole National d'Ing\u00e9nieur de Tunis, Tunis, Tunisie","institution_ids":["https://openalex.org/I108714496","https://openalex.org/I63596082"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107913701","display_name":"Ridha Bouallegue","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110695","display_name":"Universit\u00e9 Tunis Carthage","ror":"https://ror.org/01xf5pq20","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210110695"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Ridha Bouallegue","raw_affiliation_strings":["Sup'Com, Universit\u00e9 de Carthage, Tunis, Tunisie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sup'Com, Universit\u00e9 de Carthage, Tunis, Tunisie","institution_ids":["https://openalex.org/I4210110695"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.205,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.81326022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1554","last_page":"1558"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9878000020980835,"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"}},{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/computer-science","display_name":"Computer science","score":0.6751137971878052},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6574467420578003},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6153639554977417},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5965472459793091},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5360138416290283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49985742568969727},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45728227496147156},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4517795145511627},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4265677034854889},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41827404499053955},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.22276899218559265},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13112953305244446},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12185117602348328},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07359078526496887}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6751137971878052},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6574467420578003},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6153639554977417},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5965472459793091},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5360138416290283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49985742568969727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45728227496147156},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4517795145511627},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4265677034854889},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41827404499053955},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.22276899218559265},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13112953305244446},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12185117602348328},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07359078526496887}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc.2015.7289314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2015.7289314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Wireless Communications and Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1512849874","https://openalex.org/W1568654892","https://openalex.org/W1976155457","https://openalex.org/W2015725852","https://openalex.org/W2052978627","https://openalex.org/W2103611185","https://openalex.org/W2119821739","https://openalex.org/W2145314304","https://openalex.org/W2291096763","https://openalex.org/W4239510810","https://openalex.org/W4249856534","https://openalex.org/W6696620737"],"related_works":["https://openalex.org/W4205958290","https://openalex.org/W2595988085","https://openalex.org/W2084779923","https://openalex.org/W2979979539","https://openalex.org/W4327772909","https://openalex.org/W2539163683","https://openalex.org/W3127425528","https://openalex.org/W3014664599","https://openalex.org/W4313549251","https://openalex.org/W4311106074"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"there":[3],"has":[4],"been":[5],"a":[6],"growing":[7],"interest":[8],"in":[9,28],"localization":[10,32,46,72],"for":[11],"wireless":[12],"sensor":[13],"networks.":[14],"Since":[15],"the":[16,54,71,75],"complex":[17],"behavior":[18],"of":[19,36],"such":[20],"network,":[21],"various":[22],"machine":[23],"learning-based":[24,45],"methods":[25],"are":[26],"proposed":[27],"order":[29],"to":[30,40],"improve":[31],"goals.":[33],"The":[34],"objective":[35],"this":[37],"paper":[38],"is":[39],"compare":[41],"three":[42],"well":[43],"known":[44],"techniques":[47],"using":[48],"Received":[49],"Signal":[50],"Strength":[51],"Indicator":[52],"(RSSI):":[53],"Support":[55],"Vector":[56],"regression,":[57],"Na\u00efve":[58],"Bayes":[59],"and":[60,74],"Artificial":[61],"Neural":[62],"Network.":[63],"We":[64],"take":[65],"into":[66],"consideration":[67],"two":[68],"performance":[69],"keys:":[70],"error":[73],"computation":[76],"complexity.":[77]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
