{"id":"https://openalex.org/W2963542526","doi":"https://doi.org/10.1109/iwcmc.2019.8766616","title":"A Two-Level Clustering based on Position, Data Correlation and Residual Energy in WSN","display_name":"A Two-Level Clustering based on Position, Data Correlation and Residual Energy in WSN","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2963542526","doi":"https://doi.org/10.1109/iwcmc.2019.8766616","mag":"2963542526"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2019.8766616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2019.8766616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 15th International Wireless Communications & 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/A5076304056","display_name":"Marwa Fattoum","orcid":"https://orcid.org/0000-0001-7977-6079"},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Marwa Fattoum","raw_affiliation_strings":["COSIM Research lab, Higher School of Communication of Tunis (SUP\u2019COM), University of Carthage"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"COSIM Research lab, Higher School of Communication of Tunis (SUP\u2019COM), University of Carthage","institution_ids":["https://openalex.org/I179097149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018701950","display_name":"Zakia Jellali","orcid":"https://orcid.org/0000-0002-2350-6640"},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Zakia Jellali","raw_affiliation_strings":["COSIM Research lab, Higher School of Communication of Tunis (SUP\u2019COM), University of Carthage"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"COSIM Research lab, Higher School of Communication of Tunis (SUP\u2019COM), University of Carthage","institution_ids":["https://openalex.org/I179097149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110532856","display_name":"Le\u0131\u0308la Najjar Atallah","orcid":null},"institutions":[{"id":"https://openalex.org/I179097149","display_name":"University of Carthage","ror":"https://ror.org/057x6za15","country_code":"TN","type":"education","lineage":["https://openalex.org/I179097149"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Leila Najjar Atallah","raw_affiliation_strings":["COSIM Research lab, Higher School of Communication of Tunis (SUP\u2019COM), University of Carthage"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"COSIM Research lab, Higher School of Communication of Tunis (SUP\u2019COM), University of Carthage","institution_ids":["https://openalex.org/I179097149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I179097149"],"apc_list":null,"apc_paid":null,"fwci":0.5578,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70130903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"961","last_page":"966"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9998999834060669,"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":0.9998999834060669,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9937999844551086,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9904999732971191,"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/residual","display_name":"Residual","score":0.7501207590103149},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7341275215148926},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.682033121585846},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6083661913871765},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6028755903244019},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.44938722252845764},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3759261667728424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30748677253723145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2090967893600464},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18371930718421936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15659016370773315}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7501207590103149},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7341275215148926},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.682033121585846},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6083661913871765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6028755903244019},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.44938722252845764},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3759261667728424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30748677253723145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2090967893600464},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18371930718421936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15659016370773315},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc.2019.8766616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2019.8766616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1987462587","https://openalex.org/W1996107246","https://openalex.org/W2016634729","https://openalex.org/W2096933214","https://openalex.org/W2106335692","https://openalex.org/W2126379392","https://openalex.org/W2267561584","https://openalex.org/W2524905398","https://openalex.org/W2604474689","https://openalex.org/W2767279597","https://openalex.org/W2780055927","https://openalex.org/W6647380583","https://openalex.org/W6676105112"],"related_works":["https://openalex.org/W2973451922","https://openalex.org/W1999627569","https://openalex.org/W3094412894","https://openalex.org/W763609066","https://openalex.org/W3107474891","https://openalex.org/W3174094192","https://openalex.org/W2809253131","https://openalex.org/W4292116820","https://openalex.org/W4288770837","https://openalex.org/W2737926459"],"abstract_inverted_index":{"Clustering":[0],"WSN":[1],"nodes":[2,15],"has":[3],"been":[4],"a":[5,52,75],"key":[6],"solution":[7],"to":[8,18,41,59],"reduce":[9],"the":[10,20,43,85],"energy":[11,54,97,102],"consumption":[12,103],"of":[13,77,101],"sensor":[14,38],"and":[16,37,104],"thus":[17],"prolong":[19],"network":[21,44,105],"lifetime.":[22,106],"A":[23],"new":[24],"two-level":[25],"clustering":[26,56,71],"algorithm":[27],"is":[28,57,74],"here":[29],"proposed.":[30],"It":[31],"first":[32],"exploits":[33],"data":[34],"measurement":[35],"correlation":[36,92],"nodes'":[39],"locations":[40],"partition":[42],"into":[45,63],"sub-regions":[46],"with":[47],"highly":[48],"correlated":[49],"data.":[50],"Second,":[51],"residual":[53,96],"based":[55,89],"performed":[58],"divide":[60],"each":[61],"region":[62],"clusters.":[64],"The":[65],"simulation":[66],"results":[67],"show":[68],"that":[69],"our":[70],"scheme,":[72],"which":[73],"combination":[76],"two":[78,87],"steps,":[79,88],"outperforms":[80],"LEACH":[81],"as":[82,84],"well":[83],"dissociated":[86],"either":[90],"on":[91,95],"(Step1)":[93],"or":[94],"(Step2),":[98],"in":[99],"terms":[100]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}