{"id":"https://openalex.org/W2964134724","doi":"https://doi.org/10.1109/wf-iot.2019.8767351","title":"Refined Lightweight Temporal Compression for Energy-Efficient Sensor Data Streaming","display_name":"Refined Lightweight Temporal Compression for Energy-Efficient Sensor Data Streaming","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2964134724","doi":"https://doi.org/10.1109/wf-iot.2019.8767351","mag":"2964134724"},"language":"en","primary_location":{"id":"doi:10.1109/wf-iot.2019.8767351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot.2019.8767351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 5th World Forum on Internet of Things (WF-IoT)","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/A5007969269","display_name":"O. Sarbishei","orcid":"https://orcid.org/0000-0001-5677-2462"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Omid Sarbishei","raw_affiliation_strings":["Research and Development Department, Motsai Research, Saint Bruno, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Research and Development Department, Motsai Research, Saint Bruno, QC, Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007969269"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5061,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.68901348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"550","last_page":"553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.996999979019165,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9866999983787537,"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/lossy-compression","display_name":"Lossy compression","score":0.8402482271194458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7932641506195068},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6398639678955078},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.6391727328300476},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6276543736457825},{"id":"https://openalex.org/keywords/byte","display_name":"Byte","score":0.6177695989608765},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5812095403671265},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5638470649719238},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5621581673622131},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.463066041469574},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4392279386520386},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.4140290915966034},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4005975127220154},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36278489232063293},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2846637964248657},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.20726549625396729},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08665469288825989}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8402482271194458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932641506195068},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6398639678955078},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.6391727328300476},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6276543736457825},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.6177695989608765},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5812095403671265},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5638470649719238},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5621581673622131},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.463066041469574},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4392279386520386},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.4140290915966034},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4005975127220154},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36278489232063293},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2846637964248657},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.20726549625396729},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08665469288825989},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wf-iot.2019.8767351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wf-iot.2019.8767351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 5th World Forum on Internet of Things (WF-IoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1538729101","https://openalex.org/W1969995484","https://openalex.org/W1994074882","https://openalex.org/W2076170369","https://openalex.org/W2539164965","https://openalex.org/W2803868252","https://openalex.org/W2900778198","https://openalex.org/W6632462311"],"related_works":["https://openalex.org/W2423136998","https://openalex.org/W2054651106","https://openalex.org/W2081059195","https://openalex.org/W2114216011","https://openalex.org/W2386030974","https://openalex.org/W2519950878","https://openalex.org/W3120788774","https://openalex.org/W2317769571","https://openalex.org/W1999664616","https://openalex.org/W2126088460"],"abstract_inverted_index":{"Lightweight":[0],"Temporal":[1],"Compression":[2],"(LTC)":[3],"is":[4,68,126],"an":[5,32,99],"energy-efficient":[6],"lossy":[7],"compression":[8,27,59],"algorithm":[9,84],"that":[10,105],"maintains":[11],"a":[12,24,47],"memory":[13,90],"usage":[14,91],"and":[15,29,55,61,73,92],"per-sample":[16],"computational":[17],"cost":[18],"in":[19,115],"O(1).":[20],"The":[21,81],"method":[22],"provides":[23],"trade-off":[25],"between":[26],"ratio":[28,60],"accuracy":[30],"using":[31],"error":[33,79],"bound.":[34,80],"In":[35],"this":[36],"paper,":[37],"we":[38],"present":[39],"the":[40,52,57,78,89,106,122],"Refined":[41],"LTC":[42],"(RLTC)":[43],"algorithm,":[44],"which":[45,67],"uses":[46],"binning":[48],"approach":[49],"to":[50,88,119],"widen":[51],"search":[53],"space":[54],"increase":[56],"LTC's":[58,107],"reduce":[62],"its":[63],"dynamic":[64,123],"energy":[65,124],"consumption,":[66],"characterized":[69],"by":[70,117,128],"CPU":[71],"computations":[72],"radio":[74],"transmissions,":[75],"without":[76],"compromising":[77],"proposed":[82],"RLTC":[83],"adds":[85],"negligible":[86],"overhead":[87],"latency":[93],"of":[94],"LTC.":[95],"Experimental":[96],"results":[97],"on":[98,130],"environmental":[100],"sensor":[101],"dataset":[102],"have":[103],"shown":[104],"compressed":[108],"byte":[109],"stream":[110],"can":[111],"be":[112],"further":[113],"reduced":[114,127],"size":[116],"up":[118],"18%,":[120],"while":[121],"consumption":[125],"9.5%":[129],"average.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}