{"id":"https://openalex.org/W2343183746","doi":"https://doi.org/10.1109/tnet.2016.2549017","title":"Achieving Efficient Reliable Flooding in Low-Duty-Cycle Wireless Sensor Networks","display_name":"Achieving Efficient Reliable Flooding in Low-Duty-Cycle Wireless Sensor Networks","publication_year":2016,"publication_date":"2016-04-29","ids":{"openalex":"https://openalex.org/W2343183746","doi":"https://doi.org/10.1109/tnet.2016.2549017","mag":"2343183746"},"language":"en","primary_location":{"id":"doi:10.1109/tnet.2016.2549017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2016.2549017","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Networking","raw_type":"journal-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/A5101995085","display_name":"Long Cheng","orcid":"https://orcid.org/0009-0004-4819-5406"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Long Cheng","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053316728","display_name":"Jianwei Niu","orcid":"https://orcid.org/0000-0003-3946-5107"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Niu","raw_affiliation_strings":["State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101903852","display_name":"Yu Gu","orcid":"https://orcid.org/0000-0003-0135-2326"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Gu","raw_affiliation_strings":["IBM Watson Health, Austin, TX, USA"],"affiliations":[{"raw_affiliation_string":"IBM Watson Health, Austin, TX, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060564734","display_name":"Chengwen Luo","orcid":"https://orcid.org/0000-0003-0293-0781"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengwen Luo","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038811034","display_name":"Tian He","orcid":"https://orcid.org/0000-0001-6062-2619"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian He","raw_affiliation_strings":["University of Minnesota\u2013Twin Cities, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota\u2013Twin Cities, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101995085"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":6.9489,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.97070893,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"24","issue":"6","first_page":"3676","last_page":"3689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":1.0,"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":1.0,"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":0.9988999962806702,"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":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/flooding","display_name":"Flooding (psychology)","score":0.8268366456031799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7405783534049988},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6557376384735107},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5926304459571838},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.5524927973747253},{"id":"https://openalex.org/keywords/duty-cycle","display_name":"Duty cycle","score":0.5164187550544739},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5082971453666687},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.45692089200019836},{"id":"https://openalex.org/keywords/key-distribution-in-wireless-sensor-networks","display_name":"Key distribution in wireless sensor networks","score":0.4540184736251831},{"id":"https://openalex.org/keywords/network-calculus","display_name":"Network calculus","score":0.438841313123703},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4149673879146576},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.36457982659339905},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.33215999603271484},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.24285736680030823},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19742771983146667},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09294551610946655}],"concepts":[{"id":"https://openalex.org/C186594467","wikidata":"https://www.wikidata.org/wiki/Q1429176","display_name":"Flooding (psychology)","level":2,"score":0.8268366456031799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7405783534049988},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6557376384735107},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5926304459571838},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.5524927973747253},{"id":"https://openalex.org/C199822604","wikidata":"https://www.wikidata.org/wiki/Q557120","display_name":"Duty cycle","level":3,"score":0.5164187550544739},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5082971453666687},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.45692089200019836},{"id":"https://openalex.org/C41971633","wikidata":"https://www.wikidata.org/wiki/Q6398155","display_name":"Key distribution in wireless sensor networks","level":4,"score":0.4540184736251831},{"id":"https://openalex.org/C2778693205","wikidata":"https://www.wikidata.org/wiki/Q7000967","display_name":"Network calculus","level":3,"score":0.438841313123703},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4149673879146576},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.36457982659339905},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.33215999603271484},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.24285736680030823},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19742771983146667},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09294551610946655},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnet.2016.2549017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnet.2016.2549017","pdf_url":null,"source":{"id":"https://openalex.org/S62238642","display_name":"IEEE/ACM Transactions on Networking","issn_l":"1063-6692","issn":["1063-6692","1558-2566"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1809830838","display_name":null,"funder_award_id":"61572060","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1990351626","display_name":null,"funder_award_id":"61170296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2292567362","display_name":null,"funder_award_id":"61190125","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G264011470","display_name":null,"funder_award_id":"2014T70026","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G639822902","display_name":null,"funder_award_id":"2013M530511","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7042819379","display_name":null,"funder_award_id":"2013CB035503","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8868086763","display_name":null,"funder_award_id":"61300174","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1493037266","https://openalex.org/W1582880497","https://openalex.org/W1597973956","https://openalex.org/W1733162348","https://openalex.org/W1823070989","https://openalex.org/W1965587326","https://openalex.org/W1976082437","https://openalex.org/W1988792675","https://openalex.org/W1990056806","https://openalex.org/W1991106893","https://openalex.org/W2000548713","https://openalex.org/W2001264645","https://openalex.org/W2002235264","https://openalex.org/W2004386901","https://openalex.org/W2008594126","https://openalex.org/W2015131757","https://openalex.org/W2022210365","https://openalex.org/W2022613297","https://openalex.org/W2032824989","https://openalex.org/W2033682954","https://openalex.org/W2041136677","https://openalex.org/W2043686474","https://openalex.org/W2044583330","https://openalex.org/W2049462406","https://openalex.org/W2053664276","https://openalex.org/W2067684917","https://openalex.org/W2069888113","https://openalex.org/W2084314197","https://openalex.org/W2088929000","https://openalex.org/W2094636498","https://openalex.org/W2102372792","https://openalex.org/W2103662601","https://openalex.org/W2110360611","https://openalex.org/W2127552607","https://openalex.org/W2130166520","https://openalex.org/W2134156042","https://openalex.org/W2134677299","https://openalex.org/W2135748307","https://openalex.org/W2138692737","https://openalex.org/W2139425982","https://openalex.org/W2141825620","https://openalex.org/W2146971820","https://openalex.org/W2149429999","https://openalex.org/W2155592080","https://openalex.org/W2159430832","https://openalex.org/W2160983584","https://openalex.org/W2164021301","https://openalex.org/W2166402167","https://openalex.org/W2166998733","https://openalex.org/W2222783040","https://openalex.org/W2234340762","https://openalex.org/W2499830118","https://openalex.org/W6634980267","https://openalex.org/W6635998088","https://openalex.org/W6641429253","https://openalex.org/W6650655300","https://openalex.org/W6651469727","https://openalex.org/W6652928048","https://openalex.org/W6656038973","https://openalex.org/W6667981585","https://openalex.org/W6681833188","https://openalex.org/W6689246958","https://openalex.org/W6992118915"],"related_works":["https://openalex.org/W2883256816","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W2152313554","https://openalex.org/W2064303750","https://openalex.org/W4285042611","https://openalex.org/W1509300825","https://openalex.org/W3092582874","https://openalex.org/W2338718585"],"abstract_inverted_index":{"Reliable":[0],"flooding":[1,27,44,67,88,113,208,218],"in":[2,28,91,100,138,159,166],"wireless":[3,33,55],"sensor":[4],"networks":[5],"(WSNs)":[6],"is":[7,36,71,116,238],"desirable":[8],"for":[9,25,83,125],"a":[10,37,62,84,108,112,177,181,199],"broad":[11],"range":[12],"of":[13,50,86,97,172,192,224],"applications":[14],"and":[15,53,80,128,145,175,195,220,230],"network":[16],"operations.":[17],"However,":[18],"relatively":[19],"little":[20],"work":[21],"has":[22],"been":[23],"done":[24],"reliable":[26,66,81],"low-duty-cycle":[29,51,92],"WSNs":[30],"with":[31,180,206],"unreliable":[32,54],"links.":[34],"It":[35],"challenging":[38],"problem":[39,158,174],"to":[40,77,161,240],"efficiently":[41],"ensure":[42],"100%":[43],"coverage":[45],"considering":[46],"the":[47,101,121,135,154,163,170,190,207,213,217,221,235,241],"combined":[48],"effects":[49],"operation":[52],"transmission.":[56],"In":[57,150],"this":[58,173],"paper,":[59],"we":[60,152,202],"propose":[61],"novel":[63],"dynamic":[64,102],"switching-based":[65],"(DSRF)":[68],"framework,":[69],"which":[70],"designed":[72],"as":[73],"an":[74],"enhancement":[75],"layer":[76],"provide":[78],"efficient":[79],"delivery":[82],"variety":[85],"existing":[87,136],"tree":[89,114],"structures":[90],"WSNs.":[93],"The":[94],"key":[95],"novelty":[96],"DSRF":[98,131,211,214],"lies":[99],"switching":[103,164],"decision":[104],"making":[105],"when":[106],"encountering":[107],"transmission":[109,226],"failure,":[110],"where":[111],"structure":[115],"dynamically":[117],"adjusted":[118],"based":[119],"on":[120,148,198],"packet":[122,225],"reception":[123],"results":[124],"energy":[126],"saving":[127],"delay":[129,219],"reduction.":[130],"distinguishes":[132],"itself":[133],"from":[134],"works":[137],"that":[139,204],"it":[140],"explores":[141],"both":[142],"poor":[143],"links":[144,147],"good":[146],"demand.":[149],"addition,":[151],"define":[153],"optimal":[155],"wakeup":[156],"schedule-ranking":[157],"order":[160],"maximize":[162],"gain":[165],"DSRF.":[167],"We":[168],"prove":[169],"NP-completeness":[171],"present":[176],"heuristic":[178],"algorithm":[179],"low":[182],"computational":[183],"complexity.":[184],"Through":[185],"comprehensive":[186],"performance":[187,237],"comparisons,":[188],"including":[189],"simulation":[191],"large-scale":[193],"scenarios":[194],"small-scale":[196],"experiments":[197],"WSN":[200],"testbed,":[201],"demonstrate":[203],"compared":[205],"protocol":[209],"without":[210],"enhancement,":[212],"effectively":[215],"reduces":[216],"total":[222],"number":[223],"by":[227],"12%'":[228],"25%":[229],"10%'":[231],"15%,":[232],"respectively.":[233],"Remarkably,":[234],"achieved":[236],"close":[239],"theoretical":[242],"lower":[243],"bound.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
