{"id":"https://openalex.org/W2026501865","doi":"https://doi.org/10.1145/1236360.1236413","title":"Hierarchical spatial gossip for multi-resolution representations in sensor networks","display_name":"Hierarchical spatial gossip for multi-resolution representations in sensor networks","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2026501865","doi":"https://doi.org/10.1145/1236360.1236413","mag":"2026501865"},"language":"en","primary_location":{"id":"doi:10.1145/1236360.1236413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1236360.1236413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th international conference on Information processing in sensor networks - IPSN '07","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5104081796","display_name":"Rik Sarkar","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rik Sarkar","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY","Stony Brook University,Stony Brook,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Stony Brook University,Stony Brook,NY","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059444883","display_name":"Xianjin Zhu","orcid":"https://orcid.org/0000-0001-8894-5700"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xianjin Zhu","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY","Stony Brook University,Stony Brook,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Stony Brook University,Stony Brook,NY","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037226596","display_name":"Jie Gao","orcid":"https://orcid.org/0000-0001-5083-6082"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Gao","raw_affiliation_strings":["Stony Brook University, Stony Brook, NY","Stony Brook University,Stony Brook,NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, NY","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Stony Brook University,Stony Brook,NY","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"420","last_page":"420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9969000220298767,"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":0.9865000247955322,"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/gossip","display_name":"Gossip","score":0.8840572834014893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7218251824378967},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6834231615066528},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.637619137763977},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5707019567489624},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4990115165710449},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.45942074060440063},{"id":"https://openalex.org/keywords/gossip-protocol","display_name":"Gossip protocol","score":0.45852580666542053},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45122379064559937},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.43647801876068115},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36783647537231445},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3669268488883972},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3639490604400635},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.3113902807235718},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2201051414012909},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10544255375862122}],"concepts":[{"id":"https://openalex.org/C62989814","wikidata":"https://www.wikidata.org/wiki/Q854648","display_name":"Gossip","level":2,"score":0.8840572834014893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7218251824378967},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6834231615066528},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.637619137763977},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5707019567489624},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4990115165710449},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.45942074060440063},{"id":"https://openalex.org/C145928361","wikidata":"https://www.wikidata.org/wiki/Q5587504","display_name":"Gossip protocol","level":3,"score":0.45852580666542053},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45122379064559937},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.43647801876068115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36783647537231445},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3669268488883972},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3639490604400635},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3113902807235718},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2201051414012909},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10544255375862122},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1236360.1236413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1236360.1236413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th international conference on Information processing in sensor networks - IPSN '07","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1603054560","https://openalex.org/W1965996575","https://openalex.org/W1987854975","https://openalex.org/W1990476939","https://openalex.org/W2015171597","https://openalex.org/W2023401026","https://openalex.org/W2025051251","https://openalex.org/W2050544369","https://openalex.org/W2058322021","https://openalex.org/W2060566745","https://openalex.org/W2066435779","https://openalex.org/W2074796812","https://openalex.org/W2098863504","https://openalex.org/W2110100895","https://openalex.org/W2116643571","https://openalex.org/W2117905067","https://openalex.org/W2119098504","https://openalex.org/W2126310747","https://openalex.org/W2129988565","https://openalex.org/W2130029160","https://openalex.org/W2134252677","https://openalex.org/W2135241601","https://openalex.org/W2139677050","https://openalex.org/W2161118867","https://openalex.org/W2161305486","https://openalex.org/W2163144244","https://openalex.org/W2167396179","https://openalex.org/W2168354577","https://openalex.org/W2208163925","https://openalex.org/W2295244470"],"related_works":["https://openalex.org/W1987059243","https://openalex.org/W272203869","https://openalex.org/W18904321","https://openalex.org/W2034963017","https://openalex.org/W2113844267","https://openalex.org/W42842505","https://openalex.org/W1526489197","https://openalex.org/W2066825930","https://openalex.org/W2141576965","https://openalex.org/W2076320957"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,138],"propose":[4],"a":[5,50,69,93],"lightweight":[6],"algorithm":[7,80,106],"for":[8,13,64],"constructing":[9],"multi-resolution":[10,129,147],"data":[11,39,130,133,148],"representations":[12],"sensor":[14,20],"networks.":[15],"We":[16,48],"compute,":[17],"at":[18,31],"each":[19,86],"node":[21,87,94,119],"u,":[22],"O(log":[23],"n)":[24],"aggregates":[25],"about":[26],"exponentially":[27],"enlarging":[28],"neighborhoods":[29],"centered":[30],"u.":[32,47],"The":[33,77,102],"ith":[34],"aggregate":[35],"is":[36],"the":[37,53,105,125,141,144],"aggregated":[38],"among":[40],"nodes":[41],"approximately":[42],"within":[43],"2i":[44],"hops":[45],"of":[46,73,104,128,143],"present":[49],"scheme,":[51],"named":[52],"hierarchical":[54,78],"spatial":[55,146],"gossip":[56,79],"algorithm,":[57],"to":[58,89,108,118],"extract":[59],"and":[60,116,121,135],"construct":[61],"these":[62],"aggregates,":[63],"all":[65],"sensors":[66],"simultaneously,":[67],"with":[68,85,92,98],"total":[70],"communication":[71,83,112],"cost":[72],"O(n":[74],"polylog":[75],"n).":[76],"adopts":[81],"atomic":[82],"steps":[84],"choosing":[88],"exchange":[90],"information":[91,136],"distance":[95],"d":[96],"away":[97],"probability":[99],"1":[100],"/d3.":[101],"attractiveness":[103],"attributes":[107],"its":[109],"simplicity,":[110],"low":[111],"cost,":[113],"distributed":[114],"nature":[115],"robustness":[117],"failures":[120],"link":[122],"failures.":[123],"Besides":[124],"natural":[126],"applications":[127],"summaries":[131,149],"in":[132,150],"validation":[134],"mining,":[137],"also":[139],"demonstrate":[140],"application":[142],"pre-computed":[145],"answering":[151],"range":[152],"queries":[153],"efficiently.":[154]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
