{"id":"https://openalex.org/W4390483467","doi":"https://doi.org/10.1109/ssci52147.2023.10371947","title":"Impressionist Hole Detection and Healing Using Swarms of Agents with Quantized Perception","display_name":"Impressionist Hole Detection and Healing Using Swarms of Agents with Quantized Perception","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390483467","doi":"https://doi.org/10.1109/ssci52147.2023.10371947"},"language":"en","primary_location":{"id":"doi:10.1109/ssci52147.2023.10371947","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci52147.2023.10371947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5077405545","display_name":"Giada Simionato","orcid":"https://orcid.org/0000-0001-9179-8852"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]},{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giada Simionato","raw_affiliation_strings":["University of Florence, University of Pisa,Dept. of Information Engineering,Florence, Pisa,Italy","Dept. of Information Engineering, University of Florence, University of Pisa, Florence, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florence, University of Pisa,Dept. of Information Engineering,Florence, Pisa,Italy","institution_ids":["https://openalex.org/I108290504","https://openalex.org/I45084792"]},{"raw_affiliation_string":"Dept. of Information Engineering, University of Florence, University of Pisa, Florence, Pisa, Italy","institution_ids":["https://openalex.org/I45084792","https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017272862","display_name":"Marco Parola","orcid":"https://orcid.org/0000-0003-4871-4902"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Parola","raw_affiliation_strings":["University of Pisa,Dept. of Information Engineering,Pisa,Italy","Dept. of Information Engineering, University of Pisa, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa,Dept. of Information Engineering,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"Dept. of Information Engineering, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019498183","display_name":"Mario G. C. A. Cimino","orcid":"https://orcid.org/0000-0002-1031-1959"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mario G.C.A. Cimino","raw_affiliation_strings":["University of Pisa,Dept. of Information Engineering,Pisa,Italy","Dept. of Information Engineering, University of Pisa, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa,Dept. of Information Engineering,Pisa,Italy","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"Dept. of Information Engineering, University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16961266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1213","last_page":"1220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9993000030517578,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9976999759674072,"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":0.9883999824523926,"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/swarm-behaviour","display_name":"Swarm behaviour","score":0.8454921245574951},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.6388240456581116},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.617129385471344},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6084263920783997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6074828505516052},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5546984672546387},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.552288830280304},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5290284156799316},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5227146744728088},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4709789752960205},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.453105628490448},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.415929913520813},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3659597337245941},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3585886061191559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3500745892524719},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3278670907020569},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.3102015554904938},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25085633993148804},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21537184715270996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1816951334476471},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11978647112846375}],"concepts":[{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.8454921245574951},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.6388240456581116},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.617129385471344},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6084263920783997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6074828505516052},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5546984672546387},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.552288830280304},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5290284156799316},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5227146744728088},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4709789752960205},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.453105628490448},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.415929913520813},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3659597337245941},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3585886061191559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3500745892524719},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3278670907020569},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.3102015554904938},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25085633993148804},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21537184715270996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1816951334476471},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11978647112846375},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ssci52147.2023.10371947","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci52147.2023.10371947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1217105","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1217105","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:flore.unifi.it:2158/1416201","is_oa":false,"landing_page_url":"https://hdl.handle.net/2158/1416201","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1498492663","https://openalex.org/W1541256735","https://openalex.org/W1661013917","https://openalex.org/W1984281321","https://openalex.org/W1991359948","https://openalex.org/W2019166212","https://openalex.org/W2152806738","https://openalex.org/W2157470358","https://openalex.org/W2195911288","https://openalex.org/W2334919006","https://openalex.org/W2507932610","https://openalex.org/W2544041682","https://openalex.org/W2600080636","https://openalex.org/W2742972546","https://openalex.org/W2766069796","https://openalex.org/W2766155782","https://openalex.org/W2770601035","https://openalex.org/W2776029270","https://openalex.org/W2789410150","https://openalex.org/W2797448268","https://openalex.org/W2888987368","https://openalex.org/W2949676527","https://openalex.org/W2981762858","https://openalex.org/W2982246722","https://openalex.org/W3006518067","https://openalex.org/W3091893521","https://openalex.org/W3119298849","https://openalex.org/W4206628346","https://openalex.org/W4282974129","https://openalex.org/W4287116103","https://openalex.org/W4312361572","https://openalex.org/W4312449144","https://openalex.org/W4312584247","https://openalex.org/W4312644195","https://openalex.org/W4384024913","https://openalex.org/W4389667204","https://openalex.org/W6797540132","https://openalex.org/W6842582352"],"related_works":["https://openalex.org/W4308079021","https://openalex.org/W1527337688","https://openalex.org/W2399799070","https://openalex.org/W2048054807","https://openalex.org/W2746377055","https://openalex.org/W4386001959","https://openalex.org/W2594296178","https://openalex.org/W3089846858","https://openalex.org/W3012322385","https://openalex.org/W4304182880"],"abstract_inverted_index":{"Coverage":[0],"holes":[1],"are":[2,37],"a":[3,55,61,89,98,113,161],"key":[4],"problem":[5],"in":[6,120],"wireless":[7],"sensor":[8],"networks.":[9],"Methods":[10],"that":[11,65,147],"use":[12,126],"relative":[13],"localization":[14],"techniques":[15],"to":[16,79,96,105,130,141,156,160],"restore":[17],"the":[18,22,44,83,86,107,132,136,139,157,191],"service,":[19],"or":[20,152],"heal":[21,82],"holes,":[23],"rely":[24],"on":[25,164],"accurate":[26],"range":[27,33,70],"and":[28,34,41,71,74,81,159,176],"bearing":[29,35,72,173],"measurements.":[30],"However,":[31],"high-precision":[32],"sensors":[36],"too":[38],"heavy,":[39],"expensive,":[40],"range-limited":[42],"for":[43],"agents":[45,92,125],"tasked":[46],"with":[47,67],"healing.":[48],"To":[49],"overcome":[50],"these":[51],"limitations,":[52],"we":[53],"propose":[54],"novel":[56],"impressionist":[57,184],"algorithm,":[58],"inspired":[59],"by":[60,102],"recent":[62],"swarm-based":[63],"approach,":[64,88],"works":[66],"extremely":[68],"coarse":[69,128],"information":[73,95],"at":[75,190],"low":[76],"perception":[77,129,180],"frequency,":[78],"detect":[80],"holes.":[84],"In":[85],"proposed":[87],"swarm":[90,111,140],"of":[91,138,193],"uses":[93],"quantized":[94],"navigate":[97],"potential":[99,133],"field,":[100,134],"generated":[101],"network":[103],"nodes,":[104],"reach":[106],"nearest":[108],"hole.":[109],"The":[110],"adopts":[112],"greedy":[114],"deployment":[115],"behavior,":[116],"preventing":[117],"concurrent":[118],"placement":[119],"close-by":[121],"locations.":[122],"After":[123],"deployment,":[124],"their":[127],"update":[131],"leading":[135],"rest":[137],"unhealed":[142],"area.":[143],"Simulation":[144],"results":[145],"demonstrate":[146],"our":[148,183],"algorithm":[149],"achieves":[150],"similar":[151],"better":[153],"coverage":[154],"compared":[155],"state-of-the-art":[158],"benchmark":[162],"based":[163],"random":[165],"walk.":[166],"This":[167],"is":[168],"achieved":[169],"using":[170],"just":[171],"three":[172],"quantization":[174],"levels":[175],"four":[177],"times":[178],"lower":[179],"frequency.":[181],"Overall,":[182],"approach":[185],"shows":[186],"faster":[187],"healing,":[188],"albeit":[189],"expense":[192],"employing":[194],"slightly":[195],"more":[196],"agents.":[197]},"counts_by_year":[],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}