{"id":"https://openalex.org/W4367046604","doi":"https://doi.org/10.1145/3576842.3589158","title":"Poster Abstract: Towards Distributed Machine Learning for Data Acquisition in Wireless Sensor Networks","display_name":"Poster Abstract: Towards Distributed Machine Learning for Data Acquisition in Wireless Sensor Networks","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367046604","doi":"https://doi.org/10.1145/3576842.3589158"},"language":"en","primary_location":{"id":"doi:10.1145/3576842.3589158","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3576842.3589158","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3576842.3589158","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3576842.3589158","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065395851","display_name":"Tayyaba Zainab","orcid":"https://orcid.org/0009-0000-5390-2751"},"institutions":[{"id":"https://openalex.org/I4210153089","display_name":"GEOMAR Technologie GmbH - GTG","ror":"https://ror.org/000jewp25","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153089"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tayyaba Zainab","raw_affiliation_strings":["GEOMAR, Kiel, Germany"],"raw_orcid":"https://orcid.org/0009-0000-5390-2751","affiliations":[{"raw_affiliation_string":"GEOMAR, Kiel, Germany","institution_ids":["https://openalex.org/I4210153089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049410638","display_name":"Jens Karstens","orcid":"https://orcid.org/0000-0002-9434-2479"},"institutions":[{"id":"https://openalex.org/I4210153089","display_name":"GEOMAR Technologie GmbH - GTG","ror":"https://ror.org/000jewp25","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210153089"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jens Karstens","raw_affiliation_strings":["GEOMAR, Kiel, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9434-2479","affiliations":[{"raw_affiliation_string":"GEOMAR, Kiel, Germany","institution_ids":["https://openalex.org/I4210153089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018279980","display_name":"Olaf Landsiedel","orcid":"https://orcid.org/0000-0001-6432-300X"},"institutions":[{"id":"https://openalex.org/I32021983","display_name":"Christian-Albrechts-Universit\u00e4t zu Kiel","ror":"https://ror.org/04v76ef78","country_code":"DE","type":"education","lineage":["https://openalex.org/I32021983"]},{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["DE","SE"],"is_corresponding":false,"raw_author_name":"Olaf Landsiedel","raw_affiliation_strings":["Kiel University, Germany and Chalmers University of Technology, Sweden, Germany"],"raw_orcid":"https://orcid.org/0000-0001-6432-300X","affiliations":[{"raw_affiliation_string":"Kiel University, Germany and Chalmers University of Technology, Sweden, Germany","institution_ids":["https://openalex.org/I32021983","https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3455,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40062029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"440","last_page":"442"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9997000098228455,"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":0.9997000098228455,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9961000084877014,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.8286103010177612},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7699036598205566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7619364261627197},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6753296256065369},{"id":"https://openalex.org/keywords/key-distribution-in-wireless-sensor-networks","display_name":"Key distribution in wireless sensor networks","score":0.4838915765285492},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46623751521110535},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.445615291595459},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4441553056240082},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4339067339897156},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4229014217853546},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4079975485801697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27568334341049194},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.24070033431053162},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17840179800987244},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08372056484222412}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.8286103010177612},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7699036598205566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7619364261627197},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6753296256065369},{"id":"https://openalex.org/C41971633","wikidata":"https://www.wikidata.org/wiki/Q6398155","display_name":"Key distribution in wireless sensor networks","level":4,"score":0.4838915765285492},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46623751521110535},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.445615291595459},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4441553056240082},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4339067339897156},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4229014217853546},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4079975485801697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27568334341049194},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.24070033431053162},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17840179800987244},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08372056484222412},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3576842.3589158","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3576842.3589158","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3576842.3589158","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3576842.3589158","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3576842.3589158","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3576842.3589158","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367046604.pdf","grobid_xml":"https://content.openalex.org/works/W4367046604.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2015573297","https://openalex.org/W2095223629","https://openalex.org/W2106335692","https://openalex.org/W2150186990","https://openalex.org/W2967842289","https://openalex.org/W3009965972"],"related_works":["https://openalex.org/W1975451135","https://openalex.org/W917005982","https://openalex.org/W2148549110","https://openalex.org/W2890570089","https://openalex.org/W3095958166","https://openalex.org/W2129477171","https://openalex.org/W2012250365","https://openalex.org/W2593729912","https://openalex.org/W3148968234","https://openalex.org/W2378147274"],"abstract_inverted_index":{"Wireless":[0],"sensor":[1,62,76],"networks":[2],"(WSNs)":[3],"use":[4],"low-cost":[5],"sensors":[6],"to":[7,28,46,68,79,90,110,121],"monitor":[8],"various":[9],"environments,":[10],"offering":[11],"accurate":[12],"and":[13,49,63,103],"continuous":[14],"surveillance.":[15],"WSNs":[16],"face":[17],"a":[18,37],"significant":[19],"challenge":[20],"in":[21,52],"managing":[22],"their":[23],"limited":[24],"energy":[25],"resources":[26],"due":[27],"communication":[29,51],"overhead.":[30],"To":[31],"address":[32],"this":[33],"issue,":[34],"we":[35],"present":[36],"novel":[38],"approach":[39],"that":[40],"leverages":[41],"Neural":[42],"Network":[43],"(NN)":[44],"models":[45,58],"predict":[47,91],"data":[48,78,102],"reduce":[50],"WSNs.":[53],"Our":[54],"solution":[55],"incorporates":[56],"NN":[57,109],"on":[59,99],"both":[60],"the":[61,64,72,80,84,96,100,108,111,114,122],"cloud,":[65],"enabling":[66],"predictions":[67],"be":[69],"made":[70],"at":[71],"local":[73],"level.":[74],"The":[75],"sends":[77,104],"cloud":[81,93],"only":[82],"when":[83],"model":[85,97],"is":[86],"no":[87],"longer":[88],"able":[89],"accurately,":[92],"then":[94],"fine-tunes":[95],"based":[98],"received":[101],"updated":[105],"weights":[106],"of":[107],"sensor,":[112],"reducing":[113],"need":[115],"for":[116],"communicating":[117],"each":[118],"sensed":[119],"value":[120],"cloud.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}