{"id":"https://openalex.org/W3003186920","doi":"https://doi.org/10.1109/wcnc45663.2020.9120471","title":"On the Coverage Performance of Boolean-Poisson Cluster Models for Wireless Sensor Networks","display_name":"On the Coverage Performance of Boolean-Poisson Cluster Models for Wireless Sensor Networks","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3003186920","doi":"https://doi.org/10.1109/wcnc45663.2020.9120471","mag":"3003186920"},"language":"en","primary_location":{"id":"doi:10.1109/wcnc45663.2020.9120471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc45663.2020.9120471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2001.11920","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010853109","display_name":"Kaushlendra Pandey","orcid":"https://orcid.org/0000-0002-1776-9276"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kaushlendra Pandey","raw_affiliation_strings":["Modern Wireless Networks Group at the Indian Institute of Technology Kanpur, Kanpur, India","Indian Institute of Technology Kanpur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Modern Wireless Networks Group at the Indian Institute of Technology Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]},{"raw_affiliation_string":"Indian Institute of Technology Kanpur","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100727391","display_name":"Abhishek Gupta","orcid":"https://orcid.org/0000-0002-4282-7407"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhishek Gupta","raw_affiliation_strings":["Modern Wireless Networks Group at the Indian Institute of Technology Kanpur, Kanpur, India","Indian Institute of Technology Kanpur"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Modern Wireless Networks Group at the Indian Institute of Technology Kanpur, Kanpur, India","institution_ids":["https://openalex.org/I94234084"]},{"raw_affiliation_string":"Indian Institute of Technology Kanpur","institution_ids":["https://openalex.org/I94234084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01860703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13187","display_name":"Diffusion and Search Dynamics","score":0.9703999757766724,"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"}},"topics":[{"id":"https://openalex.org/T13187","display_name":"Diffusion and Search Dynamics","score":0.9703999757766724,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9674999713897705,"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/T11830","display_name":"Point processes and geometric inequalities","score":0.9404000043869019,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/boolean-model","display_name":"Boolean model","score":0.8682341575622559},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.7782449722290039},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7608212232589722},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7591202259063721},{"id":"https://openalex.org/keywords/poisson-point-process","display_name":"Poisson point process","score":0.6546838879585266},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.6509597301483154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6440677046775818},{"id":"https://openalex.org/keywords/poisson-process","display_name":"Poisson process","score":0.47095853090286255},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.4629451036453247},{"id":"https://openalex.org/keywords/boolean-network","display_name":"Boolean network","score":0.44817671179771423},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4298827648162842},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3949072062969208},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.31587010622024536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2470824122428894},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2470186948776245},{"id":"https://openalex.org/keywords/boolean-function","display_name":"Boolean function","score":0.19662892818450928},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.11885780096054077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07788029313087463},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07709962129592896},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07667574286460876},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07209661602973938}],"concepts":[{"id":"https://openalex.org/C67499762","wikidata":"https://www.wikidata.org/wiki/Q4943358","display_name":"Boolean model","level":2,"score":0.8682341575622559},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.7782449722290039},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7608212232589722},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7591202259063721},{"id":"https://openalex.org/C16757284","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson point process","level":3,"score":0.6546838879585266},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.6509597301483154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6440677046775818},{"id":"https://openalex.org/C166144826","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson process","level":3,"score":0.47095853090286255},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.4629451036453247},{"id":"https://openalex.org/C134444547","wikidata":"https://www.wikidata.org/wiki/Q585230","display_name":"Boolean network","level":3,"score":0.44817671179771423},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4298827648162842},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3949072062969208},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.31587010622024536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2470824122428894},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2470186948776245},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.19662892818450928},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.11885780096054077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07788029313087463},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07709962129592896},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07667574286460876},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07209661602973938},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/wcnc45663.2020.9120471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcnc45663.2020.9120471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Wireless Communications and Networking Conference (WCNC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2001.11920","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.11920","pdf_url":"https://arxiv.org/pdf/2001.11920","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3003186920","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2001.11920v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2001.11920","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2001.11920","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2001.11920","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.11920","pdf_url":"https://arxiv.org/pdf/2001.11920","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.550000011920929,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3003186920.pdf","grobid_xml":"https://content.openalex.org/works/W3003186920.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W631335369","https://openalex.org/W2062526772","https://openalex.org/W2118166339","https://openalex.org/W2156811396","https://openalex.org/W2496150079","https://openalex.org/W2537118059","https://openalex.org/W2748283657","https://openalex.org/W2793402334","https://openalex.org/W2896910330","https://openalex.org/W2962879208","https://openalex.org/W2994386003","https://openalex.org/W3044044481","https://openalex.org/W4213251304","https://openalex.org/W6728052109","https://openalex.org/W6728534582","https://openalex.org/W6761186785"],"related_works":["https://openalex.org/W3036758272","https://openalex.org/W2045162361","https://openalex.org/W3202493065","https://openalex.org/W2171740891","https://openalex.org/W2356076374","https://openalex.org/W2385003162","https://openalex.org/W2077230500","https://openalex.org/W2955950084","https://openalex.org/W2181341476","https://openalex.org/W2158675561","https://openalex.org/W2076447434","https://openalex.org/W2617927673","https://openalex.org/W2324110947","https://openalex.org/W2022387134","https://openalex.org/W2913396822","https://openalex.org/W1571656230","https://openalex.org/W2090227246","https://openalex.org/W53556059","https://openalex.org/W2520686799","https://openalex.org/W2587216107"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,87],"consider":[4,54],"wireless":[5],"sensor":[6,10,45],"networks":[7],"(WSNs)":[8],"with":[9,98,180],"nodes":[11],"exhibiting":[12],"clustering":[13,182],"in":[14,59,152],"their":[15],"deployment.":[16],"We":[17,53,74,120,142],"model":[18,109],"the":[19,77,84,89,123,138,155,174],"coverage":[20,186],"region":[21],"of":[22,57,80,92,101,134],"such":[23],"WSNs":[24],"by":[25,105],"Boolean":[26,68,107,156],"Poisson":[27,39,108,117,157],"cluster":[28,40,64,72,128,178],"models":[29],"(BPCM)":[30],"where":[31,110],"sensors":[32,111,136],"nodes'":[33],"location":[34],"is":[35],"according":[36,114],"to":[37,66,115,129,154,166],"a":[38,102,106,116,145,167],"process":[41,65,179],"(PCP)":[42],"and":[43,62,70,95,173],"each":[44,127],"has":[46,148],"an":[47,93],"independent":[48],"sensing":[49,90,99,175],"range":[50],"around":[51],"it.":[52],"two":[55],"variants":[56],"PCP,":[58],"particular":[60],"Mat\u00e9rn":[61,69],"Thomas":[63,71],"form":[67],"models.":[73,82],"first":[75],"derive":[76,122],"capacity":[78],"functional":[79],"these":[81],"Using":[83],"derived":[85],"expressions,":[86],"compute":[88],"probability":[91,100],"event":[94],"compare":[96],"it":[97,160],"WSN":[103,147],"modeled":[104],"are":[112],"deployed":[113],"point":[118],"process.":[119],"also":[121],"power":[124,150,171,190],"required":[125],"for":[126,137],"collect":[130],"data":[131],"from":[132,162],"all":[133],"its":[135],"three":[139],"considered":[140],"WSNs.":[141],"show":[143],"that":[144],"BPCM":[146],"less":[149],"requirement":[151,172],"comparison":[153],"WSN,":[158],"but":[159],"suffers":[161],"lower":[163],"coverage,":[164],"leading":[165],"trade-off":[168],"between":[169],"per-cluster":[170],"performance.":[176],"A":[177],"desired":[181],"may":[183],"provide":[184],"better":[185],"while":[187],"maintaining":[188],"low":[189],"requirements.":[191]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2022-07-26T00:00:00"}
