{"id":"https://openalex.org/W2737065023","doi":"https://doi.org/10.1109/iwcmc.2017.7986380","title":"Computationally Efficient, Dynamic distributed Algorithm of sensor-based Big Data","display_name":"Computationally Efficient, Dynamic distributed Algorithm of sensor-based Big Data","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2737065023","doi":"https://doi.org/10.1109/iwcmc.2017.7986380","mag":"2737065023"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2017.7986380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2017.7986380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)","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/A5089885804","display_name":"Mohammed S. Al-kahtani","orcid":"https://orcid.org/0000-0002-4350-9742"},"institutions":[{"id":"https://openalex.org/I142608572","display_name":"Prince Sattam Bin Abdulaziz University","ror":"https://ror.org/04jt46d36","country_code":"SA","type":"education","lineage":["https://openalex.org/I142608572"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Mohammed S. Al-kahtani","raw_affiliation_strings":["Dept. of Computer Engineering., Prince Sattam bin Abdulaziz University, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Engineering., Prince Sattam bin Abdulaziz University, Saudi Arabia","institution_ids":["https://openalex.org/I142608572"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033924647","display_name":"Lutful Karim","orcid":"https://orcid.org/0000-0001-6800-4313"},"institutions":[{"id":"https://openalex.org/I61412661","display_name":"Seneca Polytechnic","ror":"https://ror.org/04qgh9k98","country_code":"CA","type":"education","lineage":["https://openalex.org/I61412661"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lutful Karim","raw_affiliation_strings":["Seneca College of Applied Arts and Technology, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Seneca College of Applied Arts and Technology, Toronto, Canada","institution_ids":["https://openalex.org/I61412661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111912045","display_name":"Jalal Almhana","orcid":null},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jalal Almhana","raw_affiliation_strings":["Dept. of Computer Science, Moncton University, Canada"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Moncton University, Canada","institution_ids":["https://openalex.org/I154799132"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089885804"],"corresponding_institution_ids":["https://openalex.org/I142608572"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11068082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"759","last_page":"763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.993399977684021,"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":0.993399977684021,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9919999837875366,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9901000261306763,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8618617057800293},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.649876594543457},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6214715838432312},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.528731107711792},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.5151978135108948},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5045727491378784},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4590190649032593},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3658488988876343},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32806044816970825},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19864147901535034},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18978342413902283}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8618617057800293},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.649876594543457},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6214715838432312},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.528731107711792},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.5151978135108948},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5045727491378784},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4590190649032593},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3658488988876343},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32806044816970825},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19864147901535034},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18978342413902283}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc.2017.7986380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2017.7986380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1575642960","https://openalex.org/W1602249588","https://openalex.org/W1993358787","https://openalex.org/W1997159848","https://openalex.org/W2030985546","https://openalex.org/W2042182508","https://openalex.org/W2058361915","https://openalex.org/W2060570063","https://openalex.org/W2079567523","https://openalex.org/W2086504823","https://openalex.org/W2139309946","https://openalex.org/W2535970128","https://openalex.org/W2592252753","https://openalex.org/W2739770983","https://openalex.org/W2952464298","https://openalex.org/W3123607434"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2124336476","https://openalex.org/W2154292212","https://openalex.org/W2186616813"],"abstract_inverted_index":{"With":[0],"the":[1,49,57,85,91,98],"emergence":[2],"of":[3,87,106],"big":[4,37],"data,":[5],"designing":[6],"an":[7],"efficient":[8],"distributed":[9,17,20,33,114],"algorithm":[10,64,100],"is":[11],"significantly":[12],"important.":[13],"While":[14],"most":[15],"existing":[16],"algorithms":[18],"consider":[19,119],"processing":[21,39,46,55,82,102,108,120],"only":[22],"for":[23,36],"commodity":[24,74],"computers,":[25],"this":[26],"paper":[27],"introduces":[28],"a":[29,41],"Computationally":[30],"Efficient,":[31],"Dynamic":[32],"Algorithm":[34],"(CEDA)":[35],"data":[38,45,50,54,88,107,121],"on":[40,84],"framework":[42],"that":[43,97],"comprises":[44],"both":[47,66],"at":[48,56,90,122],"collection":[51],"end":[52],"and":[53,71,80],"central":[58,92],"server":[59],"end.":[60],"The":[61],"proposed":[62],"CEDA":[63,99],"works":[65],"in":[67,104],"low":[68],"powered":[69],"nodes":[70],"high":[72],"speed":[73],"computers.":[75],"Additionally,":[76],"it":[77],"performs":[78],"sequential":[79],"parallel":[81],"based":[83],"amount":[86],"received":[89],"server.":[93],"Simulation":[94],"results":[95],"demonstrate":[96],"achieves":[101],"efficiency":[103],"terms":[105],"time":[109],"as":[110],"compared":[111],"to":[112],"traditional":[113],"algorithms,":[115],"which":[116],"do":[117],"not":[118],"sensors.":[123]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}