{"id":"https://openalex.org/W2012299716","doi":"https://doi.org/10.1145/1023663.1023678","title":"Detailed models for sensor network simulations and their impact on network performance","display_name":"Detailed models for sensor network simulations and their impact on network performance","publication_year":2004,"publication_date":"2004-10-04","ids":{"openalex":"https://openalex.org/W2012299716","doi":"https://doi.org/10.1145/1023663.1023678","mag":"2012299716"},"language":"en","primary_location":{"id":"doi:10.1145/1023663.1023678","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1023663.1023678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems","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/A5087965733","display_name":"Maneesh Varshney","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Maneesh Varshney","raw_affiliation_strings":["University California, Los Angeles, Los Angeles, CA"],"affiliations":[{"raw_affiliation_string":"University California, Los Angeles, Los Angeles, CA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021806824","display_name":"Rajive Bagrodia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rajive Bagrodia","raw_affiliation_strings":["University California, Los Angeles, Los Angeles, CA"],"affiliations":[{"raw_affiliation_string":"University California, Los Angeles, Los Angeles, CA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087965733"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9925,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.88676543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"70","last_page":"77"},"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/T10246","display_name":"Mobile Ad Hoc Networks","score":0.9984999895095825,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9977999925613403,"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":0.7575106620788574},{"id":"https://openalex.org/keywords/emulation","display_name":"Emulation","score":0.7017821073532104},{"id":"https://openalex.org/keywords/network-simulation","display_name":"Network simulation","score":0.5941967368125916},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.513796865940094},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.479346364736557},{"id":"https://openalex.org/keywords/network-model","display_name":"Network model","score":0.464517742395401},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4481394588947296},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.44799840450286865},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4138231873512268},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37055298686027527},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33749836683273315},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3294064998626709},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22617417573928833},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1391976773738861},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.09238773584365845}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7575106620788574},{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.7017821073532104},{"id":"https://openalex.org/C139940560","wikidata":"https://www.wikidata.org/wiki/Q290036","display_name":"Network simulation","level":2,"score":0.5941967368125916},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.513796865940094},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.479346364736557},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.464517742395401},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4481394588947296},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.44799840450286865},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4138231873512268},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37055298686027527},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33749836683273315},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3294064998626709},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22617417573928833},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1391976773738861},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.09238773584365845},{"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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":2,"locations":[{"id":"doi:10.1145/1023663.1023678","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1023663.1023678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.78.7844","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.78.7844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://msl.cs.ucla.edu/papers/files/mswim04-varshney.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W615489132","https://openalex.org/W1512219752","https://openalex.org/W1903863260","https://openalex.org/W1991339249","https://openalex.org/W2004644628","https://openalex.org/W2051349350","https://openalex.org/W2054775380","https://openalex.org/W2091999641","https://openalex.org/W2096454783","https://openalex.org/W2097978584","https://openalex.org/W2111569356","https://openalex.org/W2134186542","https://openalex.org/W2135505702","https://openalex.org/W2138625816","https://openalex.org/W2144293278","https://openalex.org/W2148251644","https://openalex.org/W2152990018","https://openalex.org/W2162338299","https://openalex.org/W2171427043","https://openalex.org/W4231658190","https://openalex.org/W6630745509","https://openalex.org/W6631323651","https://openalex.org/W6648218573"],"related_works":["https://openalex.org/W2375222014","https://openalex.org/W2163987450","https://openalex.org/W2125971215","https://openalex.org/W2578708929","https://openalex.org/W1999114363","https://openalex.org/W2356462020","https://openalex.org/W3123617951","https://openalex.org/W3195411348","https://openalex.org/W1970919106","https://openalex.org/W2004523358"],"abstract_inverted_index":{"Recent":[0],"trends":[1],"in":[2],"sensor":[3,52,71,85],"network":[4,23,34,53,86,126,130,149],"simulation":[5],"can":[6],"be":[7],"divided":[8],"between":[9],"less":[10,21],"flexible":[11],"but":[12,20],"accurate":[13,74,114,166],"emulation":[14,42],"based":[15,43,70,87],"approach":[16,29],"and":[17,36,49,68,84,121,132,135,150],"more":[18],"generic":[19],"detailed":[22,99],"simulator":[24,54],"models.":[25,175],"We":[26,45,90,108],"offer":[27],"an":[28,73,160],"with":[30,164,170],"the":[31,38,47,96,102,110,125],"flexibility":[32],"of":[33,51,60,98,104,112,145,162,173],"simulators":[35],"provides":[37,56],"accuracy":[39,147],"comparable":[40],"to":[41,65],"approaches.":[44],"describe":[46,109],"design":[48],"architecture":[50],"which":[55],"a":[57],"rich":[58],"suite":[59],"following":[61],"models:":[62],"sensing":[63],"stack":[64],"model":[66,83,146],"wave":[67],"diffusion":[69],"channels,":[72],"battery":[75],"model,":[76,80],"processor":[77,118],"power":[78,119],"consumption":[79,82,120],"energy":[81],"traffic":[88,122],"model.":[89],"also":[91],"present":[92],"our":[93,165],"study":[94],"on":[95,101,124,148],"effects":[97],"modeling":[100],"performance":[103],"higher":[105],"layer":[106,127],"protocols.":[107],"impact":[111],"using":[113],"models":[115,123,167],"for":[116],"battery,":[117],"statistics":[128],"as":[129,168],"lifetime":[131],"availability,":[133],"throughput":[134],"routing":[136],"overhead.":[137],"Our":[138],"results":[139,163],"show":[140],"there":[141],"is":[142],"high":[143],"sensitivity":[144],"application":[151],"level":[152],"statistics.":[153],"In":[154],"extreme":[155],"cases":[156],"we":[157],"have":[158],"noticed":[159],"inversion":[161],"compared":[169],"previous":[171],"generation":[172],"abstract":[174]},"counts_by_year":[{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}