{"id":"https://openalex.org/W4293075329","doi":"https://doi.org/10.1109/vtc2022-spring54318.2022.9861010","title":"Trajectory Planning for Data Collection in Multi-UAV Assisted WSNs","display_name":"Trajectory Planning for Data Collection in Multi-UAV Assisted WSNs","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4293075329","doi":"https://doi.org/10.1109/vtc2022-spring54318.2022.9861010"},"language":"en","primary_location":{"id":"doi:10.1109/vtc2022-spring54318.2022.9861010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-spring54318.2022.9861010","pdf_url":null,"source":{"id":"https://openalex.org/S4363607744","display_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","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/A5021741474","display_name":"Ilham Benmad","orcid":null},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ilham Benmad","raw_affiliation_strings":["Université de Moncton,Moncton,NB,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université de Moncton,Moncton,NB,Canada","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057382530","display_name":"Elmahdi Driouch","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elmahdi Driouch","raw_affiliation_strings":["Université du Québec à Montréal,Montreal,QC,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université du Québec à Montréal,Montreal,QC,Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033359515","display_name":"Mustapha Kardouchi","orcid":null},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mustapha Kardouchi","raw_affiliation_strings":["Université de Moncton,Moncton,NB,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université de Moncton,Moncton,NB,Canada","institution_ids":["https://openalex.org/I154799132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6543,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64348711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11133","display_name":"UAV Applications and Optimization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9966999888420105,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.989300012588501,"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.7848074436187744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7782202959060669},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.653033971786499},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6288599967956543},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.5785109400749207},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5367952585220337},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4734056890010834},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4672883152961731},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.4210693836212158},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4111787676811218},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.37623676657676697},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10874319076538086}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.7848074436187744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7782202959060669},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.653033971786499},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6288599967956543},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.5785109400749207},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5367952585220337},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4734056890010834},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4672883152961731},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.4210693836212158},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4111787676811218},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.37623676657676697},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10874319076538086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtc2022-spring54318.2022.9861010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtc2022-spring54318.2022.9861010","pdf_url":null,"source":{"id":"https://openalex.org/S4363607744","display_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W965654241","https://openalex.org/W2085613572","https://openalex.org/W2524562441","https://openalex.org/W2883939469","https://openalex.org/W2958228441","https://openalex.org/W2963061782","https://openalex.org/W2964018918","https://openalex.org/W2966659925","https://openalex.org/W2974486680","https://openalex.org/W2996942283","https://openalex.org/W3028372444","https://openalex.org/W3135597344","https://openalex.org/W3154579422","https://openalex.org/W3211084077"],"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/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2097297620","https://openalex.org/W3119129187"],"abstract_inverted_index":{"The":[0,121],"deployment":[1],"of":[2,26,75,86,111],"unmanned":[3],"aerial":[4],"vehicles":[5],"(UAVs)":[6],"for":[7],"data":[8,87,146],"collection":[9,88],"in":[10,89],"wireless":[11,140],"sensor":[12,118],"networks":[13],"(WSNs)":[14],"is":[15,99,125],"gaining":[16],"recently":[17],"more":[18],"research":[19],"interest,":[20],"thanks":[21],"to":[22,40,100,134,137,152,162],"the":[23,72,84,102,109,113,117,128,132,153,164,168,174],"numerous":[24],"advantages":[25],"UAVs.":[27,95],"In":[28,78,150],"fact,":[29],"UAVs":[30,62,114,133],"can":[31,69],"be":[32],"deployed":[33],"quickly":[34],"almost":[35],"anywhere":[36],"and":[37,47,144,173],"are":[38,58],"able":[39],"access":[41],"difficult":[42],"terrains.":[43],"However,":[44],"both":[45],"WSNs":[46],"UAV":[48],"suffer":[49],"from":[50,147],"serious":[51],"energy":[52,136],"limitation":[53],"challenges.":[54],"Fortunately,":[55],"when":[56],"they":[57],"available,":[59],"using":[60,139],"multiple":[61,94],"along":[63],"with":[64,83],"appropriate":[65],"trajectory":[66],"planning":[67],"schemes":[68],"highly":[70,154],"reduce":[71],"negative":[73],"impact":[74],"this":[76,79],"problem.":[77],"paper,":[80],"we":[81,158],"deal":[82],"problem":[85],"a":[90],"WSN":[91],"assisted":[92],"by":[93,106,131],"Our":[96],"main":[97],"goal":[98],"minimize":[101],"mission":[103,122],"total":[104,123],"time":[105,124,129],"jointly":[107],"optimizing":[108],"trajectories":[110],"all":[112,138],"while":[115],"serving":[116],"nodes":[119],"(SNs).":[120],"defined":[126],"as":[127],"required":[130],"transfer":[135,142],"power":[141],"(WPT)":[143],"collect":[145],"these":[148],"SNs.":[149],"addition":[151],"complex":[155],"optimal":[156],"solution,":[157],"propose":[159],"two":[160],"heuristics":[161],"solve":[163],"formulated":[165],"problem,":[166],"namely":[167],"nearest":[169],"insertion":[170],"algorithm":[171,176],"(NIA)":[172],"greedy":[175],"(GA).":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}