{"id":"https://openalex.org/W2030758071","doi":"https://doi.org/10.1109/icc.2013.6654805","title":"Estimation of correlated and quantized spatial random fields in wireless sensor networks","display_name":"Estimation of correlated and quantized spatial random fields in wireless sensor networks","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2030758071","doi":"https://doi.org/10.1109/icc.2013.6654805","mag":"2030758071"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2013.6654805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2013.6654805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5051994726","display_name":"Ido Nevat","orcid":"https://orcid.org/0000-0003-1567-3446"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ido Nevat","raw_affiliation_strings":["CSIRO, Wireless & Networking Tech. Lab, Sydney, Australia","Wireless & Networking Tech. Lab., CSIRO, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSIRO, Wireless & Networking Tech. Lab, Sydney, Australia","institution_ids":["https://openalex.org/I1292875679"]},{"raw_affiliation_string":"Wireless & Networking Tech. Lab., CSIRO, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087616647","display_name":"Gareth W. Peters","orcid":"https://orcid.org/0000-0003-2768-8979"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gareth W. Peters","raw_affiliation_strings":["Department of Statistical Science, University College London (UCL), London, United Kingdom","Dept. of Stat. Sci., Univ. Coll. London (UCL), London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistical Science, University College London (UCL), London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"Dept. of Stat. Sci., Univ. Coll. London (UCL), London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033728735","display_name":"Iain B. Collings","orcid":"https://orcid.org/0000-0002-4857-2601"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Iain B. Collings","raw_affiliation_strings":["CSIRO, Wireless & Networking Tech. Lab, Sydney, Australia","Wireless & Networking Tech. Lab., CSIRO, Sydney, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSIRO, Wireless & Networking Tech. Lab, Sydney, Australia","institution_ids":["https://openalex.org/I1292875679"]},{"raw_affiliation_string":"Wireless & Networking Tech. Lab., CSIRO, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I1292875679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"1931","last_page":"1935"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9995999932289124,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9995999932289124,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.996399998664856,"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/random-field","display_name":"Random field","score":0.6818355917930603},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6808640956878662},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6122105121612549},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5863822102546692},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5717756748199463},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.514660656452179},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5116520524024963},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.4707287549972534},{"id":"https://openalex.org/keywords/laplace-transform","display_name":"Laplace transform","score":0.45507609844207764},{"id":"https://openalex.org/keywords/imperfect","display_name":"Imperfect","score":0.4254779517650604},{"id":"https://openalex.org/keywords/approximate-inference","display_name":"Approximate inference","score":0.4141424894332886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3606363534927368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2752140164375305},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13287058472633362},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10196581482887268},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08421710133552551}],"concepts":[{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.6818355917930603},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6808640956878662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6122105121612549},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5863822102546692},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5717756748199463},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.514660656452179},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5116520524024963},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.4707287549972534},{"id":"https://openalex.org/C97937538","wikidata":"https://www.wikidata.org/wiki/Q199691","display_name":"Laplace transform","level":2,"score":0.45507609844207764},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.4254779517650604},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.4141424894332886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3606363534927368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2752140164375305},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13287058472633362},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10196581482887268},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08421710133552551},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2013.6654805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2013.6654805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W24328814","https://openalex.org/W72544540","https://openalex.org/W1964770519","https://openalex.org/W1965110922","https://openalex.org/W2000493427","https://openalex.org/W2039736208","https://openalex.org/W2049103816","https://openalex.org/W2049361783","https://openalex.org/W2049686408","https://openalex.org/W2052549846","https://openalex.org/W2076144137","https://openalex.org/W2113237363","https://openalex.org/W2131824593","https://openalex.org/W2135053460","https://openalex.org/W2142355131","https://openalex.org/W2152315338","https://openalex.org/W2951754234","https://openalex.org/W2963400963","https://openalex.org/W3003506411","https://openalex.org/W3123834632","https://openalex.org/W4211049957","https://openalex.org/W4388255116","https://openalex.org/W6600975938","https://openalex.org/W6676874476","https://openalex.org/W6679608865"],"related_works":["https://openalex.org/W2374250903","https://openalex.org/W1546413948","https://openalex.org/W2263832889","https://openalex.org/W2243884323","https://openalex.org/W42072456","https://openalex.org/W4243095785","https://openalex.org/W4387894447","https://openalex.org/W2089057551","https://openalex.org/W642689395","https://openalex.org/W27675589"],"abstract_inverted_index":{"We":[0,66],"develop":[1],"a":[2,14,48,63],"novel":[3],"approach":[4,51,72],"for":[5,36],"estimation":[6],"and":[7,19,39],"inference":[8],"of":[9,70],"spatial":[10,37],"field":[11],"defined":[12],"over":[13],"two-dimensional":[15],"space":[16],"under":[17],"quantized":[18],"imperfect":[20],"channels":[21],"communication":[22],"constraints":[23],"in":[24,52],"wireless":[25],"sensor":[26],"networks.":[27],"The":[28,42],"objective":[29],"is":[30,45,57],"to":[31],"derive":[32],"an":[33],"efficient":[34],"solution":[35],"intensity":[38],"exceedance":[40],"estimation.":[41],"algorithm":[43],"developed":[44],"based":[46],"on":[47],"series":[49],"expansion":[50],"which":[53],"the":[54,58,68],"first":[55],"order":[56],"familiar":[59],"Laplace":[60],"approximation":[61],"utilising":[62],"Gaussian":[64],"basis.":[65],"illustrate":[67],"efficiency":[69],"our":[71],"through":[73],"extensive":[74],"simulations.":[75]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}