كتاب إلكتروني

Design and Implementation of SF Selection Based on Distance and SNR Using Autonomous Distributed Reinforcement Learning in LoRa Networks

التفاصيل البيبلوغرافية
العنوان: Design and Implementation of SF Selection Based on Distance and SNR Using Autonomous Distributed Reinforcement Learning in LoRa Networks
المؤلفون: Urabe, IkumiAff20, Li, AohanAff21, Fujisawa, MinoruAff20, Kim, Song-JuAff20, Aff22, Hasegawa, MikioAff20
المساهمون: Akan, Ozgur, Editorial Board MemberAff1, Bellavista, Paolo, Editorial Board MemberAff2, Cao, Jiannong, Editorial Board MemberAff3, Coulson, Geoffrey, Editorial Board MemberAff4, Dressler, Falko, Editorial Board MemberAff5, Ferrari, Domenico, Editorial Board MemberAff6, Gerla, Mario, Editorial Board MemberAff7, Kobayashi, Hisashi, Editorial Board MemberAff8, Palazzo, Sergio, Editorial Board MemberAff9, Sahni, Sartaj, Editorial Board MemberAff10, Shen, Xuemin, Editorial Board MemberAff11, Stan, Mircea, Editorial Board MemberAff12, Jia, Xiaohua, Editorial Board MemberAff13, Zomaya, Albert Y., Editorial Board MemberAff14, Kambayashi, Yasushi, editorAff15, Nguyen, Ngoc Thanh, editorAff16, Chen, Shu-Heng, editorAff17, Dini, Petre, editorAff18, Takimoto, Munehiro, editorAff19
المصدر: Artificial Intelligence for Communications and Networks : 4th EAI International Conference, AICON 2022, Hiroshima, Japan, November 30 - December 1, 2022, Proceedings. 477:34-42
قاعدة البيانات: Springer Nature eBooks
الوصف
ردمك:9783031291258
9783031291265
DOI:10.1007/978-3-031-29126-5_3