{"id":"https://openalex.org/W1994097699","doi":"https://doi.org/10.1109/isit.2012.6284295","title":"Codes for locating objects in sensor networks","display_name":"Codes for locating objects in sensor networks","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1994097699","doi":"https://doi.org/10.1109/isit.2012.6284295","mag":"1994097699"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2012.6284295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2012.6284295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Symposium on Information Theory Proceedings","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/A5019826820","display_name":"Ville Junnila","orcid":"https://orcid.org/0000-0002-6891-7902"},"institutions":[{"id":"https://openalex.org/I155660961","display_name":"University of Turku","ror":"https://ror.org/05vghhr25","country_code":"FI","type":"education","lineage":["https://openalex.org/I155660961"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Ville Junnila","raw_affiliation_strings":["Department of Mathematics, University of Turku, Turku, Finland","Department of Mathematics, University of Turku, FI-20014 Turku, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Turku, Turku, Finland","institution_ids":["https://openalex.org/I155660961"]},{"raw_affiliation_string":"Department of Mathematics, University of Turku, FI-20014 Turku, Finland","institution_ids":["https://openalex.org/I155660961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009028313","display_name":"Tero Laihonen","orcid":"https://orcid.org/0000-0002-2688-2166"},"institutions":[{"id":"https://openalex.org/I155660961","display_name":"University of Turku","ror":"https://ror.org/05vghhr25","country_code":"FI","type":"education","lineage":["https://openalex.org/I155660961"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tero Laihonen","raw_affiliation_strings":["Department of Mathematics, University of Turku, Turku, Finland","Department of Mathematics, University of Turku, FI-20014 Turku, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Turku, Turku, Finland","institution_ids":["https://openalex.org/I155660961"]},{"raw_affiliation_string":"Department of Mathematics, University of Turku, FI-20014 Turku, Finland","institution_ids":["https://openalex.org/I155660961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016880662","display_name":"Aline Parreau","orcid":"https://orcid.org/0000-0001-9748-6374"},"institutions":[{"id":"https://openalex.org/I177483745","display_name":"Universit\u00e9 Joseph Fourier","ror":"https://ror.org/02aj0kh94","country_code":"FR","type":"education","lineage":["https://openalex.org/I177483745"]},{"id":"https://openalex.org/I4210166226","display_name":"Institut Fourier","ror":"https://ror.org/05rwrfh97","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210141950","https://openalex.org/I4210166226","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Aline Parreau","raw_affiliation_strings":["Institut Fourier, Universit\u00e9 Joseph Fourier de Grenoble, Saint Martin d'Heres, France","Institut Fourier, Universit\u00e9 Joseph Fourier, 100 rue des maths, BP 74, 38402 St Martin d'H\u00e8res cedex, France"],"affiliations":[{"raw_affiliation_string":"Institut Fourier, Universit\u00e9 Joseph Fourier de Grenoble, Saint Martin d'Heres, France","institution_ids":["https://openalex.org/I4210166226","https://openalex.org/I177483745"]},{"raw_affiliation_string":"Institut Fourier, Universit\u00e9 Joseph Fourier, 100 rue des maths, BP 74, 38402 St Martin d'H\u00e8res cedex, France","institution_ids":["https://openalex.org/I177483745"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019826820"],"corresponding_institution_ids":["https://openalex.org/I155660961"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10613774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"671","last_page":"675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9980000257492065,"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":0.9980000257492065,"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/T12029","display_name":"DNA and Biological Computing","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9864000082015991,"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6072988510131836},{"id":"https://openalex.org/keywords/euclidean-geometry","display_name":"Euclidean geometry","score":0.5553313493728638},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5513573884963989},{"id":"https://openalex.org/keywords/neighbourhood","display_name":"Neighbourhood (mathematics)","score":0.5494649410247803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.521266758441925},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5156115889549255},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5025250911712646},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.47634389996528625},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4717458188533783},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.4296915531158447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3670777380466461},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3397204875946045},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33516234159469604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23374801874160767},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17198827862739563},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1499214470386505},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.09363007545471191}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6072988510131836},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.5553313493728638},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5513573884963989},{"id":"https://openalex.org/C161677786","wikidata":"https://www.wikidata.org/wiki/Q2478475","display_name":"Neighbourhood (mathematics)","level":2,"score":0.5494649410247803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.521266758441925},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5156115889549255},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5025250911712646},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47634389996528625},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4717458188533783},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.4296915531158447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3670777380466461},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3397204875946045},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33516234159469604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23374801874160767},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17198827862739563},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1499214470386505},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.09363007545471191},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2012.6284295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2012.6284295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Symposium on Information Theory Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1989117429","https://openalex.org/W2010696139","https://openalex.org/W2051200195","https://openalex.org/W2056540960","https://openalex.org/W2100994793","https://openalex.org/W2108299551","https://openalex.org/W2151256561","https://openalex.org/W2161151370","https://openalex.org/W2963821124"],"related_works":["https://openalex.org/W2090152127","https://openalex.org/W1965169884","https://openalex.org/W3125580510","https://openalex.org/W2008939113","https://openalex.org/W2033213447","https://openalex.org/W14679004","https://openalex.org/W1566651525","https://openalex.org/W2977652649","https://openalex.org/W2318206461","https://openalex.org/W37157938"],"abstract_inverted_index":{"Karpovsky,":[0],"Chakrabarty":[1],"and":[2,90],"Levitin":[3],"introduced":[4],"identifying":[5,43,71],"codes,":[6],"which":[7],"can":[8,33],"be":[9],"applied,":[10],"for":[11,64,73],"example,":[12],"to":[13],"locating":[14],"objects":[15],"in":[16,45,54],"sensor":[17,32],"networks.":[18],"In":[19],"this":[20,46],"paper,":[21],"the":[22,55,65,92],"underlying":[23],"structure":[24],"is":[25],"Z":[26],"<sup":[27],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[28],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[29],"where":[30],"one":[31],"check":[34],"its":[35],"neighbours":[36],"within":[37],"Euclidean":[38],"distance":[39],"r.":[40,77,98],"We":[41,61,78],"construct":[42],"codes":[44,89],"network":[47],"that":[48],"are":[49],"robust":[50],"against":[51],"some":[52],"changes":[53],"neighbourhood":[56],"monitored":[57],"by":[58],"each":[59],"sensor.":[60],"give":[62],"bounds":[63],"smallest":[66],"density":[67],"of":[68,76,83,94,97],"such":[69,88],"an":[70],"code":[72],"general":[74],"values":[75,84,96],"also":[79],"provide":[80],"infinite":[81],"families":[82],"r":[85],"with":[86],"optimal":[87],"study":[91],"case":[93],"small":[95]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
