{"id":"https://openalex.org/W2004667789","doi":"https://doi.org/10.1145/2668332.2668341","title":"RushNet","display_name":"RushNet","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W2004667789","doi":"https://doi.org/10.1145/2668332.2668341","mag":"2004667789"},"language":"en","primary_location":{"id":"doi:10.1145/2668332.2668341","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2668332.2668341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM Conference on Embedded Network Sensor 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/A5110037578","display_name":"Chieh-Jan Mike Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":true,"raw_author_name":"Chieh-Jan Mike Liang","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102855919","display_name":"Kaifei Chen","orcid":"https://orcid.org/0000-0001-8040-6892"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaifei Chen","raw_affiliation_strings":["University of California, Berkeley"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005339891","display_name":"Nissanka B. Priyantha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Nissanka Bodhi Priyantha","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101672754","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0002-2504-7492"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102740754","display_name":"Feng Zhao","orcid":"https://orcid.org/0000-0002-5730-2208"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Feng Zhao","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110037578"],"corresponding_institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"],"apc_list":null,"apc_paid":null,"fwci":1.0344,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79035016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"118"},"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9994999766349792,"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/T11896","display_name":"Opportunistic and Delay-Tolerant Networks","score":0.9987000226974487,"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":0.8023272752761841},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.7214542627334595},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6907530426979065},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6708517074584961},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.607375979423523},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5500026941299438},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4864775836467743},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.4645386040210724},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4562770426273346},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.45481929183006287},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32603418827056885},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.21877938508987427},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08459919691085815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8023272752761841},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.7214542627334595},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6907530426979065},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6708517074584961},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.607375979423523},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5500026941299438},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4864775836467743},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.4645386040210724},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4562770426273346},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.45481929183006287},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32603418827056885},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.21877938508987427},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08459919691085815},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2668332.2668341","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2668332.2668341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W187539745","https://openalex.org/W1545861529","https://openalex.org/W1556313079","https://openalex.org/W1569001656","https://openalex.org/W1786124386","https://openalex.org/W1992709632","https://openalex.org/W2007747445","https://openalex.org/W2022133000","https://openalex.org/W2026061870","https://openalex.org/W2039163496","https://openalex.org/W2048878576","https://openalex.org/W2100617218","https://openalex.org/W2102562385","https://openalex.org/W2106334612","https://openalex.org/W2112770804","https://openalex.org/W2117520883","https://openalex.org/W2120145688","https://openalex.org/W2136086557","https://openalex.org/W2146273495","https://openalex.org/W2147227087","https://openalex.org/W2148239975","https://openalex.org/W2149429999","https://openalex.org/W2149495803","https://openalex.org/W2155864758","https://openalex.org/W2156549185","https://openalex.org/W2162650992","https://openalex.org/W2166735191","https://openalex.org/W2169847446","https://openalex.org/W2785023834","https://openalex.org/W4233681659","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2078379271","https://openalex.org/W2043460294","https://openalex.org/W4210712718","https://openalex.org/W1905398909","https://openalex.org/W3205411230","https://openalex.org/W4286899009","https://openalex.org/W9168048","https://openalex.org/W4300849822","https://openalex.org/W4376480820","https://openalex.org/W3155891479"],"abstract_inverted_index":{"Network":[0],"traffic":[1,53,61,70],"prioritization":[2],"is":[3,63,72],"gaining":[4],"attention":[5],"in":[6,55],"the":[7,46,84,128,170],"WSN":[8,26],"community,":[9],"as":[10,34],"more":[11,13],"and":[12,40,67,79,105,146,166],"features":[14],"are":[15],"being":[16],"integrated":[17],"into":[18],"sensor":[19,57],"networks.":[20],"Real-world":[21],"deployment":[22,154],"experience":[23],"suggests":[24],"that":[25,49,62,71],"brings":[27],"new":[28],"challenges":[29],"to":[30,95,109,124,136,163],"existing":[31],"problems,":[32],"such":[33],"resource":[35],"constraints,":[36],"low":[37,116],"data-rate":[38],"radios,":[39],"diverse":[41],"application":[42],"scenarios.":[43],"We":[44,140],"present":[45],"RushNet":[47,76,88,100,119,142,157],"framework":[48],"prioritizes":[50],"two":[51],"common":[52],"patterns":[54],"multi-hop":[56],"networks:":[58],"low-priority":[59],"(LP)":[60],"large-volume":[64],"but":[65,74],"delay-tolerant,":[66],"high-priority":[68],"(HP)":[69],"sporadic":[73],"latency-sensitive.":[75],"achieves":[77],"schedule-free":[78],"coordination-free":[80],"delivery":[81,114],"differentiations":[82],"with":[83,90,115,144,173],"following":[85],"features.":[86],"First,":[87],"works":[89],"most":[91],"data":[92],"collection":[93],"protocols":[94],"deliver":[96,167],"LP":[97,132],"traffic.":[98,139],"Second,":[99],"leverages":[101],"transmission":[102],"power":[103],"difference":[104],"radio":[106],"capture":[107],"effect":[108],"implement":[110],"on-demand":[111],"HP":[112,138,171],"packet":[113,133],"overhead.":[117],"Third,":[118],"proposes":[120],"a":[121,147,160,174],"retrodiction":[122],"technique":[123],"help":[125],"nodes":[126],"minimize":[127],"overhead":[129],"of":[130,169,176],"recovering":[131],"loss":[134],"due":[135],"concurrent":[137],"evaluate":[141],"performance":[143],"micro-benchmarks":[145],"crowdsourced":[148],"office":[149],"comfort":[150],"monitoring":[151],"deployment.":[152],"The":[153],"results":[155],"suggest":[156],"can":[158],"achieve":[159],"throughput":[161],"close":[162],"network":[164],"capacity,":[165],"98%":[168],"packets":[172],"latency":[175],"less":[177],"than":[178],"four":[179],"seconds.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}