{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T15:42:19Z","timestamp":1784821339896,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819687244","type":"print"},{"value":"9789819687251","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-981-96-8725-1_2","type":"book-chapter","created":{"date-parts":[[2025,6,22]],"date-time":"2025-06-22T14:23:33Z","timestamp":1750602213000},"page":"13-24","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["FedTD3: An Accelerated Learning Approach for\u00a0UAV Trajectory Planning"],"prefix":"10.1007","author":[{"given":"Beining","family":"Wu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"Duan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,6,21]]},"reference":[{"key":"2_CR1","unstructured":"Drones For Farmers Makes Midwest Startup A Flying Success. https:\/\/www.forbes.com\/sites\/indiana\/2017\/01\/30\/drones-for-farmers-makes-midwest-startup-a-flying-success\/?sh=7aed4a5f37dc. Accessed 30 Feb 2025"},{"key":"2_CR2","unstructured":"Unmanned Aircraft Systems: Considerations for Law Enforcement Action. https:\/\/www.cisa.gov\/topics\/physical-security\/unmanned-aircraft-systems\/law-enforcement. Accessed 06 Mar 2025"},{"issue":"16","key":"2_CR3","doi-asserted-by":"publisher","first-page":"26610","DOI":"10.1109\/JIOT.2023.3329346","volume":"11","author":"Y Cao","year":"2024","unstructured":"Cao, Y., Luo, Y., Yang, H., Luo, C.: UAV-based emergency communications: an iterative two-stage multiagent soft actor-critic approach for optimal association and dynamic deployment. IEEE Internet Things J. 11(16), 26610\u201326622 (2024)","journal-title":"IEEE Internet Things J."},{"issue":"4","key":"2_CR4","doi-asserted-by":"publisher","first-page":"2892","DOI":"10.1109\/COMST.2023.3316615","volume":"25","author":"Q Duan","year":"2023","unstructured":"Duan, Q., Huang, J., Hu, S., Deng, R., Lu, Z., Yu, S.: Combining federated learning and edge computing toward ubiquitous intelligence in 6g network: challenges, recent advances, and future directions. IEEE Commun. Surv. Tutor. 25(4), 2892\u20132950 (2023)","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"2_CR5","doi-asserted-by":"publisher","DOI":"10.2514\/4.478390","volume-title":"Flight Performance of Fixed and Rotary Wing Aircraft","author":"A Filippone","year":"2006","unstructured":"Filippone, A.: Flight Performance of Fixed and Rotary Wing Aircraft. Butterworth-Heinemann, Washington, DC (2006)"},{"issue":"6","key":"2_CR6","doi-asserted-by":"publisher","first-page":"7409","DOI":"10.1109\/TAES.2023.3288846","volume":"59","author":"H Gong","year":"2023","unstructured":"Gong, H., Huang, B., Jia, B., Dai, H.: Modeling power consumptions for multirotor UAVs. IEEE Trans. Aerosp. Electron. Syst. 59(6), 7409\u20137422 (2023)","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"issue":"9","key":"2_CR7","doi-asserted-by":"publisher","first-page":"10197","DOI":"10.1109\/TITS.2023.3267607","volume":"24","author":"K Guo","year":"2023","unstructured":"Guo, K., Wu, M., Li, X., Song, H., Kumar, N.: Deep reinforcement learning and NOMA-based multi-objective RIS-assisted IS-UAV-TNs: trajectory optimization and beamforming design. IEEE Trans. Intell. Transp. Syst. 24(9), 10197\u201310210 (2023)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"2_CR8","doi-asserted-by":"crossref","unstructured":"Huang, J., Wu, B., Duan, Q., Dong, L., Yu, S.: A fast UAV trajectory planning framework in ris-assisted communication systems with accelerated learning via multithreading and federating. IEEE Trans. Mob. Comput., 1\u201316 (2025)","DOI":"10.1109\/TMC.2025.3544903"},{"issue":"1","key":"2_CR9","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/3530043.3530044","volume":"22","author":"J Huang","year":"2022","unstructured":"Huang, J., Xing, C.C., Gu, S., Baker, E.: Drop Maslow\u2019s Hammer or not: machine learning for resource management in D2D communications. ACM SIGAPP Appl. Comput. Rev. 22(1), 5\u201314 (2022)","journal-title":"ACM SIGAPP Appl. Comput. Rev."},{"issue":"3","key":"2_CR10","doi-asserted-by":"publisher","first-page":"4470","DOI":"10.1109\/JIOT.2023.3299018","volume":"11","author":"G Iacovelli","year":"2024","unstructured":"Iacovelli, G., Coluccia, A., Grieco, L.A.: Multi-uav irs-assisted communications: multinode channel modeling and fair sum-rate optimization via deep reinforcement learning. IEEE Internet Things J. 11(3), 4470\u20134482 (2024)","journal-title":"IEEE Internet Things J."},{"issue":"9","key":"2_CR11","doi-asserted-by":"publisher","first-page":"2462","DOI":"10.1109\/LWC.2024.3419245","volume":"13","author":"M Sun","year":"2024","unstructured":"Sun, M., Bai, L., Huang, Z., Cheng, X.: Multi-modal sensing data-based real-time path loss prediction for 6g uav-to-ground communications. IEEE Wirel. Commun. Lett. 13(9), 2462\u20132466 (2024)","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"Vishnoi, V., Consul, P., Budhiraja, I., Gupta, S., Kumar, N.: Deep reinforcement learning based energy consumption minimization for intelligent reflecting surfaces assisted D2D users underlaying UAV network. In: IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp.\u00a01\u20136 (2023)","DOI":"10.1109\/INFOCOMWKSHPS57453.2023.10226057"},{"key":"2_CR13","doi-asserted-by":"publisher","first-page":"4546","DOI":"10.1109\/TIFS.2023.3297021","volume":"18","author":"X Yuan","year":"2023","unstructured":"Yuan, X., Hu, S., Ni, W., Wang, X., Jamalipour, A.: Deep reinforcement learning-driven reconfigurable intelligent surface-assisted radio surveillance with a fixed-wing UAV. IEEE Trans. Inf. Forensics Secur. 18, 4546\u20134560 (2023)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"4","key":"2_CR14","doi-asserted-by":"publisher","first-page":"2329","DOI":"10.1109\/TWC.2019.2902559","volume":"18","author":"Y Zeng","year":"2019","unstructured":"Zeng, Y., Xu, J., Zhang, R.: Energy minimization for wireless communication with rotary-wing UAV. IEEE Trans. Wirel. Commun. 18(4), 2329\u20132345 (2019)","journal-title":"IEEE Trans. Wirel. Commun."},{"issue":"2","key":"2_CR15","doi-asserted-by":"publisher","first-page":"975","DOI":"10.1109\/COMST.2023.3245614","volume":"25","author":"D Zhou","year":"2023","unstructured":"Zhou, D., Sheng, M., Li, J., Han, Z.: Aerospace integrated networks innovation for empowering 6G: a survey and future challenges. IEEE Commun. Surv. Tutor. 25(2), 975\u20131019 (2023)","journal-title":"IEEE Commun. Surv. Tutor."}],"container-title":["Lecture Notes in Computer Science","Wireless Artificial Intelligent Computing Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-8725-1_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,22]],"date-time":"2025-06-22T14:23:35Z","timestamp":1750602215000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-8725-1_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819687244","9789819687251"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-8725-1_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"21 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WASA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Wireless Artificial Intelligent Computing Systems and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tokyo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wasa2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wasa-conference.org\/WASA2025\/index.html#","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}