{"id":"https://openalex.org/W2171298416","doi":"https://doi.org/10.1145/2095697.2095727","title":"Query-based data aggregation within WSN through Monte Carlo simulation","display_name":"Query-based data aggregation within WSN through Monte Carlo simulation","publication_year":2011,"publication_date":"2011-12-05","ids":{"openalex":"https://openalex.org/W2171298416","doi":"https://doi.org/10.1145/2095697.2095727","mag":"2171298416"},"language":"en","primary_location":{"id":"doi:10.1145/2095697.2095727","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2095697.2095727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia","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/A5101597157","display_name":"Sami J. Habib","orcid":"https://orcid.org/0000-0002-3825-9910"},"institutions":[{"id":"https://openalex.org/I36721946","display_name":"Kuwait University","ror":"https://ror.org/021e5j056","country_code":"KW","type":"education","lineage":["https://openalex.org/I36721946"]}],"countries":["KW"],"is_corresponding":true,"raw_author_name":"Sami J. Habib","raw_affiliation_strings":["Kuwait University, Safat, Kuwait"],"affiliations":[{"raw_affiliation_string":"Kuwait University, Safat, Kuwait","institution_ids":["https://openalex.org/I36721946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048778231","display_name":"Paulvanna N. Marimuthu","orcid":"https://orcid.org/0000-0002-9882-3026"},"institutions":[{"id":"https://openalex.org/I36721946","display_name":"Kuwait University","ror":"https://ror.org/021e5j056","country_code":"KW","type":"education","lineage":["https://openalex.org/I36721946"]}],"countries":["KW"],"is_corresponding":false,"raw_author_name":"Paulvanna N. Marimuthu","raw_affiliation_strings":["Kuwait University, Safat, Kuwait"],"affiliations":[{"raw_affiliation_string":"Kuwait University, Safat, Kuwait","institution_ids":["https://openalex.org/I36721946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101597157"],"corresponding_institution_ids":["https://openalex.org/I36721946"],"apc_list":null,"apc_paid":null,"fwci":1.4003,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83870015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"162","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9998999834060669,"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":0.9998999834060669,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9934999942779541,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9929999709129333,"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/base-station","display_name":"Base station","score":0.8168502449989319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8101903200149536},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.717042088508606},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6866028308868408},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5611236691474915},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.5362880229949951},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4976854622364044},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.46511179208755493},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4331289529800415},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.42856618762016296},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.3548947274684906},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.31617212295532227},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1228545606136322},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08652222156524658}],"concepts":[{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.8168502449989319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8101903200149536},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.717042088508606},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6866028308868408},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5611236691474915},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.5362880229949951},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4976854622364044},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.46511179208755493},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4331289529800415},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.42856618762016296},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.3548947274684906},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.31617212295532227},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1228545606136322},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08652222156524658},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2095697.2095727","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2095697.2095727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1967608487","https://openalex.org/W1969833982","https://openalex.org/W2027919392","https://openalex.org/W2076085704","https://openalex.org/W2086728476","https://openalex.org/W2110173519","https://openalex.org/W2118339467","https://openalex.org/W2121643940","https://openalex.org/W2132647684","https://openalex.org/W2141043659","https://openalex.org/W2149365973","https://openalex.org/W2152001461","https://openalex.org/W2153461645","https://openalex.org/W2167396179","https://openalex.org/W2167465093","https://openalex.org/W2169391736","https://openalex.org/W2268140711","https://openalex.org/W2599014521"],"related_works":["https://openalex.org/W2793666424","https://openalex.org/W1521063997","https://openalex.org/W2136583354","https://openalex.org/W2111238207","https://openalex.org/W2558765606","https://openalex.org/W857034687","https://openalex.org/W2093193679","https://openalex.org/W2149099995","https://openalex.org/W4210343411","https://openalex.org/W4361214895"],"abstract_inverted_index":{"Most":[0],"of":[1,16,29,44,106,112,161,176,183,196,213,225,227],"the":[2,17,30,45,61,68,97,110,115,132,155,159,165,194,206,208,228],"current":[3],"research":[4],"in":[5,230,234],"wireless":[6],"sensor":[7,21],"network":[8],"(WSN)":[9],"focuses":[10],"on":[11,60],"energy":[12],"related":[13],"issues":[14],"because":[15],"fact":[18],"that":[19,57,66,88],"tiny":[20],"devices":[22],"possess":[23],"a":[24,52,83,104,126,138,200,223],"limited":[25],"power":[26],"supply.":[27],"Out":[28],"three":[31,169],"normally":[32],"executed":[33],"sensor's":[34],"tasks":[35,217],"(sense,":[36],"process":[37],"and":[38,134,179,185,215],"transmit),":[39],"data":[40,54,74,94,107,162,229],"transmission":[41],"consumes":[42],"most":[43],"power.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50,119],"propose":[51],"query-based":[53,84,123],"aggregation":[55,173,180,209],"model":[56,124],"is":[58,151,158],"based":[59],"base":[62,98,116,139,166,202],"stations":[63],"within":[64,125,205],"WSN":[65,195],"query":[67],"sensors":[69,90,198],"to":[70,76,96,103,109,130,141,145,153,236],"transmit":[71,91],"their":[72,92],"collected":[73,93,163],"due":[75,108],"special":[77],"events.":[78],"The":[79],"worst-case":[80,135],"scenario":[81],"for":[82,137,193],"activation":[85],"would":[86],"be":[87],"all":[89,146],"simultaneously":[95],"station.":[99,117],"This":[100],"could":[101],"lead":[102],"loss":[105],"overlapping":[111,175,182,212],"transmissions":[113],"at":[114,164],"Therefore,":[118],"have":[120],"embedded":[121],"our":[122],"Monte":[127,148],"Carlo":[128,149],"Simulator":[129,150],"explore":[131],"best-":[133],"scenarios":[136],"station":[140,203],"initiate":[142],"its":[143],"queries":[144],"sensors.":[147],"utilized":[152],"evaluate":[154],"throughput,":[156],"which":[157],"amount":[160],"station,":[167],"under":[168],"schemes;":[170],"contiguous":[171],"aggregation,":[172],"with":[174,181,199,211],"sensing":[177,184,214],"tasks,":[178],"processing":[186,216],"tasks.":[187],"Our":[188],"simulation":[189],"results":[190],"demonstrate":[191],"that,":[192],"25":[197],"single":[201],"deployed":[204],"WSN,":[207],"scheme":[210],"shows":[218],"better":[219],"performance":[220],"by":[221],"aggregating":[222],"minimum":[224],"56%":[226],"lower":[231],"time":[232],"duration":[233],"comparison":[235],"other":[237],"schemes.":[238]},"counts_by_year":[{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
