{"id":"https://openalex.org/W4366967222","doi":"https://doi.org/10.1145/3544793.3560412","title":"DeliverSense: Efficient Delivery Drone Scheduling for Crowdsensing with Deep Reinforcement Learning","display_name":"DeliverSense: Efficient Delivery Drone Scheduling for Crowdsensing with Deep Reinforcement Learning","publication_year":2022,"publication_date":"2022-09-11","ids":{"openalex":"https://openalex.org/W4366967222","doi":"https://doi.org/10.1145/3544793.3560412"},"language":"en","primary_location":{"id":"doi:10.1145/3544793.3560412","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3544793.3560412","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3544793.3560412","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3544793.3560412","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102717799","display_name":"Xuecheng Chen","orcid":"https://orcid.org/0000-0003-2675-8082"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuecheng Chen","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, China and Peng Cheng Laboratory, China","Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China and Peng Cheng Laboratory, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741702","display_name":"Haoyang Wang","orcid":"https://orcid.org/0000-0002-6663-0692"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyang Wang","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019072733","display_name":"Zuxin Li","orcid":"https://orcid.org/0000-0002-5816-9728"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuxin Li","raw_affiliation_strings":["Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108575750","display_name":"Wenbo Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Ding","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011008509","display_name":"Fan Dang","orcid":"https://orcid.org/0000-0002-9949-6987"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Dang","raw_affiliation_strings":["Global Innovation Exchange, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Global Innovation Exchange, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009434711","display_name":"WU Cheng-ye","orcid":"https://orcid.org/0009-0007-1065-578X"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengye Wu","raw_affiliation_strings":["The Chinese University of Hong Kong, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016095713","display_name":"Xinlei Chen","orcid":"https://orcid.org/0000-0001-8271-5023"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlei Chen","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, China and Peng Cheng Laboratory, China","Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, China and Peng Cheng Laboratory, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, China","institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102717799"],"corresponding_institution_ids":["https://openalex.org/I4210114105","https://openalex.org/I4210136793","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":10.5308,"has_fulltext":true,"cited_by_count":50,"citation_normalized_percentile":{"value":0.98441218,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"403","last_page":"408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11133","display_name":"UAV Applications and Optimization","score":0.993399977684021,"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/T12546","display_name":"Smart Parking Systems Research","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8000571727752686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7807046175003052},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.7589946985244751},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5777694582939148},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.5045584440231323},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.49360382556915283},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4833183288574219},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4781692624092102},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4777916371822357},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.43689489364624023},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.4339393079280853},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42779284715652466},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.42071208357810974},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.41401198506355286},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.32485297322273254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21861708164215088},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.15136998891830444},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10656386613845825}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8000571727752686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7807046175003052},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.7589946985244751},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5777694582939148},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.5045584440231323},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.49360382556915283},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4833183288574219},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4781692624092102},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4777916371822357},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.43689489364624023},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.4339393079280853},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42779284715652466},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.42071208357810974},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.41401198506355286},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32485297322273254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21861708164215088},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.15136998891830444},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10656386613845825},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3544793.3560412","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3544793.3560412","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3544793.3560412","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3544793.3560412","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3544793.3560412","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3544793.3560412","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366967222.pdf","grobid_xml":"https://content.openalex.org/works/W4366967222.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1986502387","https://openalex.org/W2038445360","https://openalex.org/W2083888899","https://openalex.org/W2129368140","https://openalex.org/W2484564806","https://openalex.org/W2518887446","https://openalex.org/W2547687744","https://openalex.org/W2548430090","https://openalex.org/W2586992378","https://openalex.org/W2773299837","https://openalex.org/W2899094839","https://openalex.org/W2905653628","https://openalex.org/W2918281006","https://openalex.org/W2918843799","https://openalex.org/W2923969831","https://openalex.org/W2929829796","https://openalex.org/W2942319626","https://openalex.org/W2944810452","https://openalex.org/W3002405259","https://openalex.org/W3023108580","https://openalex.org/W3047024287","https://openalex.org/W3047074398","https://openalex.org/W3084064394","https://openalex.org/W3084872529","https://openalex.org/W3087935424","https://openalex.org/W3097247253","https://openalex.org/W3174491972","https://openalex.org/W3186573928","https://openalex.org/W3189574704","https://openalex.org/W3189845786","https://openalex.org/W3213727358","https://openalex.org/W4247765142","https://openalex.org/W4282979962","https://openalex.org/W4312425087"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4212885606"],"abstract_inverted_index":{"Delivery":[0],"drones":[1,35,64],"provide":[2],"a":[3,46,68,85,90],"promising":[4],"sensing":[5,75],"platform":[6],"for":[7],"Mobile":[8],"Crowdsensing":[9],"(MCS)":[10],"due":[11,20],"to":[12,21,31,36],"their":[13],"high":[14,39],"mobility":[15],"and":[16,25,41,76,103,126,134],"large-scale":[17,33],"deployment.":[18],"However,":[19],"limited":[22],"battery":[23],"lifetime":[24],"available":[26],"resources,":[27],"it":[28],"is":[29,45,151],"challenging":[30],"schedule":[32],"delivery":[34,42,63,77],"derive":[37],"both":[38,74],"crowdsensing":[40],"performance,":[43],"which":[44,95,150],"highly":[47,98],"complicated":[48,99],"optimization":[49,100],"problem":[50,66,72],"with":[51,73,89,114],"several":[52],"coupled":[53],"decision":[54],"variables.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59,83],"first":[60],"formalize":[61],"the":[62,97,105,121,157],"scheduling":[65],"as":[67,79],"mixed-integer":[69],"nonlinear":[70],"programming":[71],"utilities":[78],"dual":[80],"objectives.":[81],"Then":[82],"propose":[84],"novel":[86],"framework":[87],"DeliverSense":[88,119],"reinforcement":[91],"learning-based":[92],"efficient":[93],"solution,":[94],"decouples":[96],"search":[101],"process":[102],"replaces":[104],"heavy":[106],"computation":[107],"via":[108],"fast":[109],"approximation.":[110],"Evaluation":[111],"results":[112],"compared":[113],"state-of-the-art":[115],"baseline":[116],"show":[117],"that":[118],"improves":[120],"total":[122],"utility":[123],"by":[124],"13%":[125],"23%":[127],"on":[128],"average":[129],"under":[130],"various":[131],"energy":[132],"budgets":[133],"numbers":[135],"of":[136],"selected":[137],"routes,":[138],"respectively.":[139],"More":[140],"importantly,":[141],"our":[142],"proposed":[143],"method":[144],"achieves":[145],"much":[146],"lower":[147,155],"computational":[148],"complexity":[149],"nearly":[152],"3":[153],"times":[154],"than":[156],"baseline.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
