{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T06:18:06Z","timestamp":1783145886842,"version":"3.54.6"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031526695","type":"print"},{"value":"9783031526701","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-52670-1_12","type":"book-chapter","created":{"date-parts":[[2024,2,26]],"date-time":"2024-02-26T12:02:55Z","timestamp":1708948975000},"page":"123-132","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["DDDAS for Optimized Design and Management of 5G and Beyond 5G (6G) Networks"],"prefix":"10.1007","author":[{"given":"Nurcin","family":"Celik","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frederica","family":"Darema","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Temitope","family":"Runsewe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Walid","family":"Saad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdurrahman","family":"Yavuz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,2,27]]},"reference":[{"issue":"2","key":"12_CR1","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1109\/MNET.2018.8329617","volume":"32","author":"D Soldani","year":"2018","unstructured":"Soldani, D., Guo, Y.J., Barani, B., Mogensen, P., Chih-Lin, I., Das, S.K.: 5G for ultra-reliable low-latency communications. IEEE Network 32(2), 6\u20137 (2018)","journal-title":"IEEE Network"},{"key":"12_CR2","doi-asserted-by":"publisher","first-page":"147029","DOI":"10.1109\/ACCESS.2020.3015289","volume":"8","author":"LU Khan","year":"2020","unstructured":"Khan, L.U., Yaqoob, I., Imran, M., Han, Z., Hong, C.S.: 6G wireless systems: a vision, architectural elements, and future directions. IEEE Access 8, 147029\u2013147044 (2020)","journal-title":"IEEE Access"},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"Sengupta, S.: IoE: An innovative technology for future enhancement. In: Computer Vision and Internet of Things, pp. 19\u201328. Chapman and Hall\/CRC (2022)","DOI":"10.1201\/9781003244165-3"},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Chaccour, C., Naderi Soorki, M., Saad, W., Bennis, M., Popovski. P.: Can terahertz provide high-rate reliable low latency communications for wireless VR?. IEEE Internet Things J. 9, 9712\u20139729 (2022)","DOI":"10.1109\/JIOT.2022.3142674"},{"key":"12_CR5","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1109\/MNET.001.1900287","volume":"34","author":"W Saad","year":"2020","unstructured":"Saad, W., Bennis, M., Chen, M.: A vision of 6G wireless systems: applications, trends, technologies, and open research problems. IEEE Network 34, 134\u2013142 (2020)","journal-title":"IEEE Network"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Tikhvinskiy, V., Koval, V.: Prospects of 5g satellite networks development. In: Moving Broadband Mobile Communications Forward-Intelligent Technologies for 5G and Beyond (2020)","DOI":"10.5772\/intechopen.90943"},{"key":"12_CR7","unstructured":"IEEE International Network Generations Roadmap (INGR): Energy efficiency. Retrieved 11 July 2022. https:\/\/futurenetworks.ieee.org\/images\/files\/pdf\/INGR-2022-Edition\/IEEE_INGR_EE_Chapter_2022-Edition-FINAL.pdf"},{"key":"12_CR8","unstructured":"IEEE International Network Generations Roadmap (INGR): Artificial intelligence and ma-chine learning. Retrieved 26 July 2022. https:\/\/futurenetworks.ieee.org\/images\/files\/pdf\/INGR-2022-Edition\/IEEE_INGR_AIML_Chapter_2022-Edition-FINAL.pdf"},{"key":"12_CR9","unstructured":"IEEE International Network Generations Roadmap (INGR): Applications & services. Re-trieved 26 July 2022. https:\/\/futurenetworks.ieee.org\/images\/files\/pdf\/INGR-2022-Edition\/IEEE_INGR_AppsSvcs_Chapter-2022-Edition-FINAL.pdf"},{"key":"12_CR10","doi-asserted-by":"publisher","unstructured":"Blasch, E.P., Darema, F., Bernstein, D.: Introduction to the dynamic data driven applications systems (DDDAS) paradigm. In: Blasch, E.P., Darema, F., Ravela, S., Aved, A.J. (eds.) Handbook of Dynamic Data Driven Applications Systems, 2nd edition, vol. I, pp. 1\u201332, Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-74568-4_1","DOI":"10.1007\/978-3-030-74568-4_1"},{"issue":"5","key":"12_CR11","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1080\/07408170903394306","volume":"42","author":"N Celik","year":"2010","unstructured":"Celik, N., Lee, S., Vasudevan, K., Son, Y.J.: DDDAS-based multi-fidelity simulation framework for supply chain systems. IIE Trans. 42(5), 325\u2013341 (2010)","journal-title":"IIE Trans."},{"key":"12_CR12","doi-asserted-by":"publisher","first-page":"1182","DOI":"10.1016\/j.procs.2014.05.106","volume":"29","author":"D Allaire","year":"2014","unstructured":"Allaire, D., Kordonowy, D., Lecerf, M., Mainini, L., Willcox, K.: Multifidelity DDDAS methods with application to a self-aware aerospace vehicle. Procedia Comput. Sci. 29, 1182\u20131192 (2014)","journal-title":"Procedia Comput. Sci."},{"key":"12_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1007\/11758532_57","volume-title":"Computational Science \u2013 ICCS 2006","author":"R Fujimoto","year":"2006","unstructured":"Fujimoto, R., et al.: Dynamic data driven application simulation of surface transportation systems. In: Alexandrov, V.N., Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2006. LNCS, vol. 3993, pp. 425\u2013432. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11758532_57"},{"key":"12_CR14","unstructured":"Hariri, S., Al-Nashif, Y., Valerdi, R., Prowell, S., Blasch, E.: DDDAS-based resilient cyberspace. In: Presentation Proceedings of AFOSR DDDAS PI Meeting, October 2, 2"},{"key":"12_CR15","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1007\/978-3-319-95504-9_21","volume-title":"Handbook of Dynamic Data Driven Applications Systems","author":"H Damgacioglu","year":"2018","unstructured":"Damgacioglu, H., Bastani, M., Celik, N.: A dynamic data-driven optimization framework for demand side management in microgrids. In: Blasch, E., Ravela, S., Aved, A. (eds.) Handbook of Dynamic Data Driven Applications Systems, pp. 489\u2013504. Springer International Publishing, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-95504-9_21"},{"key":"12_CR16","unstructured":"Yavuz, A., Runsewe, T., Celik, N., Chaccour, C., Saad, W., Darema F.: DDDAS @ 5G and beyond 5G networks for resilient communications infrastructures and microgrid clusters. In: Blasch, E., Darema, F., Ravela, S., Aved, A. (eds.) Handbook of DDDAS (Vol. III), Springer, Heidelberg (2022)"},{"issue":"1","key":"12_CR17","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1109\/TSG.2015.2464709","volume":"8","author":"AE Thanos","year":"2015","unstructured":"Thanos, A.E., Bastani, M., Celik, N., Chen, C.H.: Dynamic data driven adaptive simulation framework for automated control in microgrids. IEEE Trans. Smart Grid 8(1), 209\u2013218 (2015)","journal-title":"IEEE Trans. Smart Grid"},{"issue":"2","key":"12_CR18","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1109\/TWC.2017.2771419","volume":"17","author":"O Semiari","year":"2018","unstructured":"Semiari, O., Saad, W., Bennis, M., Maham, B.: Caching meets millimeter wave communications for enhanced mobility management in 5G networks\u201d. IEEE Trans. Wire-less Commun. 17(2), 779\u2013793 (2018)","journal-title":"IEEE Trans. Wire-less Commun."}],"container-title":["Lecture Notes in Computer Science","Dynamic Data Driven Applications Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-52670-1_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,26]],"date-time":"2024-02-26T12:04:01Z","timestamp":1708949041000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-52670-1_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031526695","9783031526701"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-52670-1_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"27 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DDDAS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Dynamic Data Driven Applications Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cambridge, MA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 October 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dddas2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/1dddas.org\/dddas2022","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":"37","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":"32","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":"86% - 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":"2","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":"7","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}