{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T09:51:15Z","timestamp":1743069075152,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030876562"},{"type":"electronic","value":"9783030876579"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-87657-9_6","type":"book-chapter","created":{"date-parts":[[2021,10,7]],"date-time":"2021-10-07T22:22:37Z","timestamp":1633645357000},"page":"78-87","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Edge-to-Fog Collaborative Computing in a Swarm of Drones"],"prefix":"10.1007","author":[{"given":"Dadmehr","family":"Rahbari","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Mahtab Alam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yannick","family":"Le Moullec","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maksim","family":"Jenihhin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,10,7]]},"reference":[{"issue":"2","key":"6_CR1","doi-asserted-by":"publisher","first-page":"1541","DOI":"10.1007\/s11277-021-08294-6","volume":"119","author":"R Pakrooh","year":"2021","unstructured":"Pakrooh, R., Bohlooli, A.: A survey on unmanned aerial vehicles-assisted internet of things: a service-oriented classification. Wirel. Pers. Commun. 119(2), 1541\u20131575 (2021). https:\/\/doi.org\/10.1007\/s11277-021-08294-6","journal-title":"Wirel. Pers. Commun."},{"key":"6_CR2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3015730","author":"J Zheng","year":"2020","unstructured":"Zheng, J., et al.: Accurate detection and localization of UAV swarms-enabled MEC system. IEEE Trans. Ind. Inf. (2020). https:\/\/doi.org\/10.1109\/TII.2020.3015730","journal-title":"IEEE Trans. Ind. Inf."},{"key":"6_CR3","doi-asserted-by":"publisher","first-page":"58383","DOI":"10.1109\/ACCESS.2018.2875040","volume":"6","author":"HV Abeywickrama","year":"2018","unstructured":"Abeywickrama, H.V., et al.: Comprehensive energy consumption model for unmanned aerial vehicles, based on empirical studies of battery performance. IEEE Access 6, 58383\u201358394 (2018). https:\/\/doi.org\/10.1109\/ACCESS.2018.2875040","journal-title":"IEEE Access"},{"issue":"3","key":"6_CR4","doi-asserted-by":"publisher","first-page":"3280","DOI":"10.1109\/TVT.2020.2964821","volume":"69","author":"Q Zhang","year":"2020","unstructured":"Zhang, Q., et al.: Response delay optimization in mobile edge computing enabled UAV swarm. IEEE Trans. Veh. Technol. 69(3), 3280\u20133295 (2020). https:\/\/doi.org\/10.1109\/TVT.2020.2964821","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"8","key":"6_CR5","doi-asserted-by":"publisher","first-page":"8777","DOI":"10.1109\/TVT.2020.2994541","volume":"69","author":"B Liu","year":"2020","unstructured":"Liu, B., et al.: Online computation offloading and traffic routing for UAV swarms in edge-cloud computing. IEEE Trans. Veh. Technol. 69(8), 8777\u20138791 (2020). https:\/\/doi.org\/10.1109\/TVT.2020.2994541","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"2","key":"6_CR6","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/MNET.2019.1800222","volume":"33","author":"W Chen","year":"2019","unstructured":"Chen, W., et al.: When UAV swarm meets edge-cloud computing: the QoS perspective. IEEE Netw. 33(2), 36\u201343 (2019). https:\/\/doi.org\/10.1109\/MNET.2019.1800222","journal-title":"IEEE Netw."},{"key":"6_CR7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3024170","author":"L Sun","year":"2020","unstructured":"Sun, L., Wan, L., Wang, X.: Learning-based resource allocation strategy for industrial IoT in UAV-enabled MEC systems. IEEE Trans. Ind. Inf. (2020). https:\/\/doi.org\/10.1109\/TII.2020.3024170","journal-title":"IEEE Trans. Ind. Inf."},{"issue":"3","key":"6_CR8","doi-asserted-by":"publisher","first-page":"2031","DOI":"10.1109\/COMST.2020.2986024","volume":"22","author":"WYB Lim","year":"2020","unstructured":"Lim, W.Y.B., et al.: Federated learning in mobile edge networks: a comprehensive survey. IEEE Commun. Surv. Tutorials 22(3), 2031\u20132063 (2020). https:\/\/doi.org\/10.1109\/COMST.2020.2986024","journal-title":"IEEE Commun. Surv. Tutorials"},{"issue":"4","key":"6_CR9","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1109\/MWC.001.1900207","volume":"27","author":"X Lu","year":"2020","unstructured":"Lu, X., et al.: UAV-aided cellular communications with deep reinforcement learning against jamming. IEEE Wirel. Commun. 27(4), 48\u201353 (2020). https:\/\/doi.org\/10.1109\/MWC.001.1900207","journal-title":"IEEE Wirel. Commun."},{"key":"6_CR10","doi-asserted-by":"publisher","first-page":"53841","DOI":"10.1109\/ACCESS.2020.2981430","volume":"8","author":"B Brik","year":"2020","unstructured":"Brik, B., Ksentini, A., Bouaziz, M.: Federated learning for UAVs-enabled wireless networks: use cases, challenges, and open problems. IEEE Access 8, 53841\u201353849 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2981430","journal-title":"IEEE Access"},{"issue":"11","key":"6_CR11","doi-asserted-by":"publisher","first-page":"14104","DOI":"10.1109\/TVT.2020.3028011","volume":"69","author":"H Zhang","year":"2020","unstructured":"Zhang, H., Hanzo, L.: Federated learning assisted multi-UAV networks. IEEE Trans. Veh. Technol. 69(11), 14104\u201314109 (2020). https:\/\/doi.org\/10.1109\/TVT.2020.3028011","journal-title":"IEEE Trans. Veh. Technol."},{"key":"6_CR12","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3065084","author":"QV Pham","year":"2021","unstructured":"Pham, Q.V., et al.: UAV communications for sustainable federated learning. IEEE Trans. Veh. Technol. (2021). https:\/\/doi.org\/10.1109\/TVT.2021.3065084","journal-title":"IEEE Trans. Veh. Technol."},{"key":"6_CR13","doi-asserted-by":"publisher","first-page":"7117","DOI":"10.1109\/ACCESS.2020.2964073","volume":"8","author":"X Hou","year":"2020","unstructured":"Hou, X., et al.: Distributed fog computing for latency and reliability guaranteed swarm of drones. IEEE Access 8, 7117\u20137130 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2964073","journal-title":"IEEE Access"},{"issue":"9","key":"6_CR14","doi-asserted-by":"publisher","first-page":"1275","DOI":"10.1002\/spe.2509","volume":"47","author":"H Gupta","year":"2017","unstructured":"Gupta, H., et al.: iFogSim: a toolkit for modeling and simulation of resource management techniques in the internet of things, edge and fog computing environments. Softw. Pract. Exp. 47(9), 1275\u20131296 (2017). https:\/\/doi.org\/10.1002\/spe.2509","journal-title":"Softw. Pract. Exp."}],"container-title":["Communications in Computer and Information Science","Advances in Model and Data Engineering in the Digitalization Era"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-87657-9_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,7]],"date-time":"2021-10-07T22:23:50Z","timestamp":1633645430000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-87657-9_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030876562","9783030876579"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-87657-9_6","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"7 October 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MEDI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Model and Data Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tallinn","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Estonia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 June 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 June 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"medi2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/cs.ttu.ee\/events\/medi2021\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"47","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"16","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"34% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the Corona pandemic the event was held virtually. MEDI 2021 Workshops: 61 submissions, 24 papers accepted.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}