{"id":"https://openalex.org/W2162977228","doi":"https://doi.org/10.1109/comsnets.2011.5716479","title":"Separating event points by Binary Proximity Sensors: An asymptotic analysis","display_name":"Separating event points by Binary Proximity Sensors: An asymptotic analysis","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2162977228","doi":"https://doi.org/10.1109/comsnets.2011.5716479","mag":"2162977228"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets.2011.5716479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets.2011.5716479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011)","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":null,"display_name":"B S Krishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"B S Krishnan","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology - Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology - Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16930636,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9977999925613403,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9955999851226807,"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/binary-number","display_name":"Binary number","score":0.7223788499832153},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.719719648361206},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.6093193888664246},{"id":"https://openalex.org/keywords/scaling-law","display_name":"Scaling law","score":0.6051117181777954},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5460236072540283},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4993479251861572},{"id":"https://openalex.org/keywords/radius","display_name":"RADIUS","score":0.4622620642185211},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4425511062145233},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43123096227645874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4089840352535248},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3949775993824005},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3758431673049927},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16180583834648132},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14601799845695496},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.10321751236915588}],"concepts":[{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.7223788499832153},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.719719648361206},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6093193888664246},{"id":"https://openalex.org/C2988430800","wikidata":"https://www.wikidata.org/wiki/Q428971","display_name":"Scaling law","level":3,"score":0.6051117181777954},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5460236072540283},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4993479251861572},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.4622620642185211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4425511062145233},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43123096227645874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4089840352535248},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3949775993824005},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3758431673049927},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16180583834648132},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14601799845695496},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.10321751236915588},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets.2011.5716479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets.2011.5716479","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1595409123","https://openalex.org/W1988543519","https://openalex.org/W2064687831","https://openalex.org/W2111603756","https://openalex.org/W2112096907","https://openalex.org/W2133638043","https://openalex.org/W2477794859","https://openalex.org/W2798062075","https://openalex.org/W2899702797","https://openalex.org/W3141534212","https://openalex.org/W3148392858"],"related_works":["https://openalex.org/W2117748264","https://openalex.org/W4298190863","https://openalex.org/W2518229301","https://openalex.org/W2597205018","https://openalex.org/W2554072523","https://openalex.org/W1671671741","https://openalex.org/W2952002823","https://openalex.org/W2013329450","https://openalex.org/W3104909087","https://openalex.org/W2512421151"],"abstract_inverted_index":{"Let":[0],"n":[1,19,32,135],"points":[2,33],"be":[3],"chosen":[4,20],"in":[5,17,37],"a":[6,157],"sensing":[7,62],"area":[8],"and":[9,60,74,100,111,130,153],"let":[10],"identical":[11],"events":[12,35],"of":[13,30,57,85,108],"interest":[14],"occur":[15],"only":[16],"these":[18,31,123],"points.":[21],"Binary":[22],"Proximity":[23],"Sensors":[24],"are":[25,53,64,93,103,125,138],"used":[26],"to":[27,41,81,146,160],"estimate":[28],"which":[29],"had":[34],"occurring":[36],"them.":[38],"We":[39,69,140],"restrict":[40],"at":[42],"most":[43],"one":[44],"event":[45,47,91],"per":[46],"point.":[48],"Assume":[49],"that":[50,83],"the":[51,61,65,72,78,86,109,144,150,161],"sensors":[52,58],"identical.":[54],"The":[55,98],"number":[56],"dropped":[59],"radius":[63],"two":[66,79],"design":[67],"parameters.":[68],"analytically":[70],"derive":[71],"necessary":[73,99],"sufficient":[75,101],"conditions":[76,102,132],"on":[77],"parameters":[80],"ensure":[82],"any":[84],"2":[87],"<sup":[88],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[89],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">n</sup>":[90],"configurations":[92],"decodable":[94],"from":[95,149],"sensor":[96,112],"observations.":[97],"derived":[104,118,127],"for":[105,128],"various":[106],"settings":[107],"event-points":[110],"deployments.":[113],"These":[114],"results":[115],"have":[116,141],"been":[117],"as":[119],"scaling":[120],"laws,":[121],"i.e.,":[122],"laws":[124],"initially":[126],"n;":[129],"then":[131],"required":[133],"if":[134],"\u2192":[136],"\u221e":[137],"calculated.":[139],"also":[142,155],"proposed":[143],"extension":[145],"higher":[147],"dimensions":[148],"1-D":[151],"case":[152],"we":[154],"pose":[156],"problem":[158],"similar":[159],"information":[162],"theoretic":[163],"Rate-Distortion":[164],"problem.":[165]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
