{"id":"https://openalex.org/W4408358411","doi":"https://doi.org/10.1109/tsp.2025.3549301","title":"Greedy Selection for Heterogeneous Sensors","display_name":"Greedy Selection for Heterogeneous Sensors","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408358411","doi":"https://doi.org/10.1109/tsp.2025.3549301"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2025.3549301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3549301","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","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/A5057162595","display_name":"Kaushani Majumder","orcid":"https://orcid.org/0009-0008-6827-3140"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kaushani Majumder","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032327878","display_name":"Sibi Raj B. Pillai","orcid":"https://orcid.org/0000-0001-6197-4042"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sibi Raj B. Pillai","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083205956","display_name":"Satish Mulleti","orcid":"https://orcid.org/0000-0002-3995-9070"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satish Mulleti","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057162595"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":2.8414,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89818709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"73","issue":null,"first_page":"1394","last_page":"1409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.6844000220298767,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.6844000220298767,"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/T10320","display_name":"Neural Networks and Applications","score":0.6520000100135803,"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":0.6462000012397766,"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/selection","display_name":"Selection (genetic algorithm)","score":0.6226480007171631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6076129078865051},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5131736397743225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35918062925338745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21312165260314941}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6226480007171631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6076129078865051},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5131736397743225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35918062925338745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21312165260314941}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2025.3549301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3549301","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1680189815","https://openalex.org/W1972445805","https://openalex.org/W1977293274","https://openalex.org/W1978860163","https://openalex.org/W1987484735","https://openalex.org/W1996269676","https://openalex.org/W1997081029","https://openalex.org/W2009786555","https://openalex.org/W2009951705","https://openalex.org/W2017222881","https://openalex.org/W2029828838","https://openalex.org/W2033885045","https://openalex.org/W2051696414","https://openalex.org/W2090767179","https://openalex.org/W2102624854","https://openalex.org/W2115305054","https://openalex.org/W2117699769","https://openalex.org/W2127579861","https://openalex.org/W2129866531","https://openalex.org/W2134609006","https://openalex.org/W2140529724","https://openalex.org/W2143225719","https://openalex.org/W2150083849","https://openalex.org/W2158831329","https://openalex.org/W2159269870","https://openalex.org/W2169207653","https://openalex.org/W2170577408","https://openalex.org/W2314010686","https://openalex.org/W2490451899","https://openalex.org/W2582646431","https://openalex.org/W2757107770","https://openalex.org/W2783021959","https://openalex.org/W2803908782","https://openalex.org/W2963005128","https://openalex.org/W2980993928","https://openalex.org/W2996222386","https://openalex.org/W3001302411","https://openalex.org/W3011038560","https://openalex.org/W3138381145","https://openalex.org/W3188581061","https://openalex.org/W4231490457","https://openalex.org/W4292070111","https://openalex.org/W4300263211","https://openalex.org/W4391382275","https://openalex.org/W6641263247"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2899084033","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W2748952813","https://openalex.org/W1531601525"],"abstract_inverted_index":{"Simultaneous":[0],"operation":[1],"of":[2,40,46,62,65,82,92,126,137,148,168,218],"all":[3],"sensors":[4,93,169],"in":[5,32,87,256],"a":[6,36,76,112,188],"large-scale":[7],"sensor":[8,30,56,68,116,152,204],"network":[9],"is":[10,17,26,99,130,175,225],"power-consuming":[11],"and":[12,102,206,237,245],"computationally":[13],"expensive.":[14],"Hence,":[15],"it":[16],"desirable":[18],"to":[19,94,132,160,170],"select":[20,95,171],"fewer":[21],"sensors.":[22,85],"A":[23],"greedy":[24,114],"algorithm":[25,129,254],"widely":[27],"used":[28],"for":[29,140,213],"selection":[31,69,117],"homogeneous":[33],"networks":[34,57],"with":[35,150],"theoretical":[37,211],"worst-case":[38,124],"performance":[39,49,73,125,155,223],"<inline-formula":[41,133,161,257],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[42,134,162,258],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[43,135,163,259],"notation=\"LaTeX\">$\\boldsymbol{(\\mathbf{1-1}/\\mathbf{e})\\mathbf{\\approx":[44],"63}}$</tex-math></inline-formula>%":[45],"the":[47,66,72,79,83,90,123,127,138,145,154,166,179,193,200,203,214,219,252],"optimal":[48],"when":[50,165,221],"optimizing":[51],"submodular":[52,141,189],"metrics.":[53,143],"For":[54,107],"heterogeneous":[55,115],"(HSNs)":[58],"comprising":[59],"multiple":[60],"sets":[61],"sensors,":[63],"most":[64],"existing":[67,267],"methods":[70],"optimize":[71],"constrained":[74],"by":[75,242],"budget":[77],"on":[78,192],"total":[80],"value":[81],"selected":[84],"However,":[86],"many":[88],"applications,":[89],"number":[91,167],"from":[96,172],"each":[97],"set":[98,174],"known":[100],"apriori":[101],"solutions":[103],"are":[104],"not":[105],"well-explored.":[106],"this":[108,222],"problem,":[109],"we":[110,120,186],"propose":[111,187],"joint":[113],"algorithm.":[118],"Theoretically,":[119],"show":[121,250],"that":[122,197,251],"proposed":[128,253],"bounded":[131],"notation=\"LaTeX\">$50$</tex-math></inline-formula>%":[136],"optimum":[139],"cost":[142],"In":[144],"special":[146],"case":[147],"HSNs":[149],"two":[151],"networks,":[153],"guarantee":[156],"can":[157],"be":[158],"improved":[159],"notation=\"LaTeX\">$63$</tex-math></inline-formula>%":[164],"one":[173],"much":[176],"smaller":[177],"than":[178,266],"other.":[180],"To":[181],"validate":[182,228],"our":[183,229],"results":[184,230,255],"experimentally,":[185],"metric":[190,224],"based":[191],"frame":[194],"potential":[195],"measure":[196],"considers":[198],"both":[199,235],"correlation":[201],"among":[202],"measurements":[205],"their":[207],"heterogeneity.":[208],"We":[209,227],"prove":[210],"bounds":[212],"mean":[215],"squared":[216],"error":[217,265],"solution":[220],"used.":[226],"through":[231],"simulation":[232],"experiments":[233,249],"considering":[234],"linear":[236],"non-linear":[238],"measurement":[239],"models":[240],"corrupted":[241],"additive":[243],"noise":[244],"quantization":[246],"errors.":[247],"Our":[248],"notation=\"LaTeX\">$4":[260],"{\\boldsymbol{\\mathbf{-}}}":[261],"10$</tex-math></inline-formula>":[262],"dB":[263],"lower":[264],"methods.":[268]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
