{"id":"https://openalex.org/W4403061444","doi":"https://doi.org/10.1109/rtcsa62462.2024.00027","title":"Optimising for Dense Deployments in Commercial Ambient Human Sensing with WiFi CSI","display_name":"Optimising for Dense Deployments in Commercial Ambient Human Sensing with WiFi CSI","publication_year":2024,"publication_date":"2024-08-21","ids":{"openalex":"https://openalex.org/W4403061444","doi":"https://doi.org/10.1109/rtcsa62462.2024.00027"},"language":"en","primary_location":{"id":"doi:10.1109/rtcsa62462.2024.00027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rtcsa62462.2024.00027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 30th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://rgu-repository.worktribe.com/preview/2509757/FORBES%202024%20Optimising%20for%20dense%20deployments%20%28AAM%29.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058209151","display_name":"Glenn S. Forbes","orcid":"https://orcid.org/0000-0003-0282-3089"},"institutions":[{"id":"https://openalex.org/I522815984","display_name":"Robert Gordon University","ror":"https://ror.org/04f0qj703","country_code":"GB","type":"education","lineage":["https://openalex.org/I522815984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Glenn Forbes","raw_affiliation_strings":["Robert Gordon University,Aberdeen,Scotland"],"affiliations":[{"raw_affiliation_string":"Robert Gordon University,Aberdeen,Scotland","institution_ids":["https://openalex.org/I522815984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001972269","display_name":"Stewart Massie","orcid":"https://orcid.org/0000-0002-5278-4009"},"institutions":[{"id":"https://openalex.org/I522815984","display_name":"Robert Gordon University","ror":"https://ror.org/04f0qj703","country_code":"GB","type":"education","lineage":["https://openalex.org/I522815984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stewart Massie","raw_affiliation_strings":["Robert Gordon University,Aberdeen,Scotland"],"affiliations":[{"raw_affiliation_string":"Robert Gordon University,Aberdeen,Scotland","institution_ids":["https://openalex.org/I522815984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058209151"],"corresponding_institution_ids":["https://openalex.org/I522815984"],"apc_list":null,"apc_paid":null,"fwci":0.2187,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53383269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9861999750137329,"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":0.9861999750137329,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9556000232696533,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9297000169754028,"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/computer-science","display_name":"Computer science","score":0.6445482969284058},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.41965073347091675}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6445482969284058},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.41965073347091675}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/rtcsa62462.2024.00027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rtcsa62462.2024.00027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 30th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA)","raw_type":"proceedings-article"},{"id":"pmh:oai:rgu-repository.worktribe.com:2509750","is_oa":true,"landing_page_url":"https://rgu-repository.worktribe.com/output/2509750","pdf_url":"https://rgu-repository.worktribe.com/preview/2509757/FORBES%202024%20Optimising%20for%20dense%20deployments%20%28AAM%29.pdf","source":{"id":"https://openalex.org/S4306400814","display_name":"Open Access Institutional Repository at Robert Gordon University (Robert Gordon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I522815984","host_organization_name":"Robert Gordon University","host_organization_lineage":["https://openalex.org/I522815984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"}],"best_oa_location":{"id":"pmh:oai:rgu-repository.worktribe.com:2509750","is_oa":true,"landing_page_url":"https://rgu-repository.worktribe.com/output/2509750","pdf_url":"https://rgu-repository.worktribe.com/preview/2509757/FORBES%202024%20Optimising%20for%20dense%20deployments%20%28AAM%29.pdf","source":{"id":"https://openalex.org/S4306400814","display_name":"Open Access Institutional Repository at Robert Gordon University (Robert Gordon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I522815984","host_organization_name":"Robert Gordon University","host_organization_lineage":["https://openalex.org/I522815984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403061444.pdf","grobid_xml":"https://content.openalex.org/works/W4403061444.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2089695767","https://openalex.org/W2735039232","https://openalex.org/W2786484969","https://openalex.org/W2893803042","https://openalex.org/W3082678867","https://openalex.org/W3085959113","https://openalex.org/W4205469029","https://openalex.org/W4297032622","https://openalex.org/W4322627157","https://openalex.org/W4391708761","https://openalex.org/W4402156055"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"WiFi":[0],"Channel":[1],"State":[2],"Information":[3],"(CSI)":[4],"is":[5,52,94,134],"widely-used":[6],"in":[7,17,28,46,86,221],"research":[8,29],"for":[9,61,75,80,96,112,128,217],"human":[10,77],"sensing":[11,39,220],"applications,":[12],"yet":[13],"its":[14,97,171],"actual":[15],"deployment":[16],"commercial":[18],"real-time":[19],"applications":[20],"remains":[21],"sparse":[22],"with":[23,195],"few":[24],"examples.":[25],"Existing":[26],"demonstrations":[27],"literature":[30],"predominantly":[31],"rely":[32],"on":[33,59,148],"specialised":[34],"deployments":[35],"of":[36,166,214],"a":[37,70,110,125,137,164],"single":[38,126],"apparatus,":[40],"which":[41,54,93],"cannot":[42],"efficiently":[43],"be":[44],"used":[45],"large-scale":[47],"deployments.":[48],"Additionally":[49],"packet":[50],"loss":[51],"common":[53],"leads":[55],"to":[56,103,151,169,184],"an":[57],"over-reliance":[58],"interpolation":[60],"missing":[62],"points.":[63],"Addressing":[64],"these":[65],"gaps,":[66],"this":[67,143],"paper":[68],"presents":[69],"low-cost,":[71],"and":[72,83,100,174,212],"scalable":[73],"solution":[74],"CSI-based":[76],"sensing,":[78],"tailored":[79],"high":[81,98],"performance":[82],"consistent":[84],"operation":[85],"residential":[87,207],"environments.Our":[88],"approach":[89,216],"leverages":[90],"ESP32":[91],"hardware":[92],"renowned":[95],"availability":[99],"low-cost":[101],"compared":[102],"popular":[104],"CSI":[105,115,132,149,189,219],"collection":[106],"solutions.":[107],"We":[108,140],"define":[109],"methodology":[111],"remotely":[113],"collecting":[114],"data":[116,133,190],"from":[117],"multiple":[118],"sensors":[119,187],"concurrently":[120],"over":[121,136,192],"WiFi,":[122],"by":[123],"employing":[124],"beacon":[127],"traffic":[129],"generation":[130],"while":[131],"gathered":[135],"separate":[138],"channel.":[139],"further":[141],"optimize":[142],"process":[144],"using":[145],"DEFLATE":[146],"compression":[147],"payloads":[150],"minimize":[152],"airtime":[153],"contention":[154],"during":[155],"transmission.":[156],"This":[157,199],"proposed":[158],"system":[159],"has":[160,201],"been":[161,202],"evaluated":[162],"through":[163],"series":[165],"experiments":[167],"designed":[168],"assess":[170],"viability,":[172],"scalability,":[173],"environmental":[175],"adaptation":[176],"capability.":[177],"Notably,":[178],"we":[179],"demonstrate":[180],"the":[181,210],"system\u2019s":[182],"capability":[183],"support":[185],"30":[186],"sampling":[188],"at":[191],"90Hz":[193],"simultaneously,":[194],"additional":[196],"projected":[197],"capacity.":[198],"validation":[200],"conducted":[203],"across":[204],"two":[205],"distinct":[206],"environments,":[208],"affirming":[209],"adaptability":[211],"effectiveness":[213],"our":[215],"high-performance":[218],"real-world":[222],"scenarios.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}
