{"id":"https://openalex.org/W3148392934","doi":"https://doi.org/10.1109/dsd.2007.4341511","title":"Adaptive Distance Estimation and Localization in WSN using RSSI Measures","display_name":"Adaptive Distance Estimation and Localization in WSN using RSSI Measures","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W3148392934","doi":"https://doi.org/10.1109/dsd.2007.4341511","mag":"3148392934"},"language":"en","primary_location":{"id":"doi:10.1109/dsd.2007.4341511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsd.2007.4341511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th Euromicro Conference on Digital System Design Architectures, Methods and Tools (DSD 2007)","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/A5061450417","display_name":"Abdalkarim Awad","orcid":"https://orcid.org/0000-0002-8266-4198"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"A. Awad","raw_affiliation_strings":["Autonomic Networking Group, Department of Computer Sciences, University of Erlangen, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Autonomic Networking Group, Department of Computer Sciences, University of Erlangen, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030316172","display_name":"T. Frunzke","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"T. Frunzke","raw_affiliation_strings":["Autonomic Networking Group, Department of Computer Sciences, University of Erlangen, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Autonomic Networking Group, Department of Computer Sciences, University of Erlangen, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042212040","display_name":"Falko Dressler","orcid":"https://orcid.org/0000-0002-1989-1750"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"F. Dressler","raw_affiliation_strings":["Autonomic Networking Group, Department of Computer Sciences, University of Erlangen, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Autonomic Networking Group, Department of Computer Sciences, University of Erlangen, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061450417"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":5.3561,"has_fulltext":false,"cited_by_count":162,"citation_normalized_percentile":{"value":0.95830609,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"471","last_page":"478"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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":1.0,"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":0.9976000189781189,"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":0.9934999942779541,"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7986114025115967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7296338081359863},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.7191271185874939},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5856707692146301},{"id":"https://openalex.org/keywords/received-signal-strength-indication","display_name":"Received signal strength indication","score":0.5797673463821411},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.48213455080986023},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4787306487560272},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4636818766593933},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.42791748046875},{"id":"https://openalex.org/keywords/distance-measurement","display_name":"Distance measurement","score":0.4144454002380371},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37735602259635925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37136369943618774},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2696930468082428},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21014150977134705},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12019938230514526}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7986114025115967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296338081359863},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.7191271185874939},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5856707692146301},{"id":"https://openalex.org/C2778913798","wikidata":"https://www.wikidata.org/wiki/Q1195672","display_name":"Received signal strength indication","level":3,"score":0.5797673463821411},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.48213455080986023},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4787306487560272},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4636818766593933},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42791748046875},{"id":"https://openalex.org/C2986158284","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Distance measurement","level":2,"score":0.4144454002380371},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37735602259635925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37136369943618774},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2696930468082428},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21014150977134705},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12019938230514526},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsd.2007.4341511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsd.2007.4341511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th Euromicro Conference on Digital System Design Architectures, Methods and Tools (DSD 2007)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2093830013","https://openalex.org/W2112280154","https://openalex.org/W2112737587","https://openalex.org/W2124822240","https://openalex.org/W2127949150","https://openalex.org/W2131152141","https://openalex.org/W2147035977","https://openalex.org/W2168452204","https://openalex.org/W2170102584"],"related_works":["https://openalex.org/W2551177135","https://openalex.org/W2612405521","https://openalex.org/W2151430090","https://openalex.org/W2803794770","https://openalex.org/W3121138807","https://openalex.org/W2388949434","https://openalex.org/W2357590506","https://openalex.org/W2366746442","https://openalex.org/W2098964748","https://openalex.org/W1991684817"],"abstract_inverted_index":{"Localization":[0],"is":[1,46,55,82],"one":[2],"of":[3,41],"the":[4,33,43,66,77,79,88,99],"most":[5],"challenging":[6],"and":[7,28],"important":[8],"issues":[9],"in":[10],"wireless":[11],"sensor":[12],"networks":[13],"(WSNs),":[14],"especially":[15],"if":[16],"cost-effective":[17],"approaches":[18,30],"are":[19],"demanded.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24,71,91],"present":[25],"intensively":[26],"discuss":[27],"analyze":[29],"relying":[31],"on":[32,84],"received":[34],"signal":[35],"strength":[36],"indicator":[37],"(RSSI).":[38],"The":[39],"advantage":[40],"employing":[42],"RSSI":[44,68],"values":[45],"that":[47,64],"no":[48],"extra":[49],"hardware":[50],"(e.g.":[51],"ultrasonic":[52],"or":[53],"infra-red)":[54],"needed":[56],"for":[57],"network-centric":[58],"localization.":[59],"We":[60],"studied":[61],"different":[62],"factors":[63],"affect":[65],"measured":[67],"values.":[69],"Finally,":[70],"evaluate":[72],"two":[73],"methods":[74],"to":[75,97],"estimate":[76,98],"distance;":[78],"first":[80],"approach":[81],"based":[83],"statistical":[85],"methods.":[86],"For":[87],"second":[89],"one,":[90],"use":[92],"an":[93],"artificial":[94],"neural":[95],"network":[96],"distance.":[100]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":8}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}
