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標題: Titlebook: Next Generation Marine Wireless Communication Networks; Bin Lin,Jianli Duan,Lin X. Cai Book 2022 The Editor(s) (if applicable) and The Aut [打印本頁]

作者: rupture 時間: 2025-3-21 19:19
書目名稱Next Generation Marine Wireless Communication Networks影響因子(影響力)

書目名稱Next Generation Marine Wireless Communication Networks影響因子(影響力)學科排名

書目名稱Next Generation Marine Wireless Communication Networks網(wǎng)絡公開度

書目名稱Next Generation Marine Wireless Communication Networks網(wǎng)絡公開度學科排名

書目名稱Next Generation Marine Wireless Communication Networks被引頻次

書目名稱Next Generation Marine Wireless Communication Networks被引頻次學科排名

書目名稱Next Generation Marine Wireless Communication Networks年度引用

書目名稱Next Generation Marine Wireless Communication Networks年度引用學科排名

書目名稱Next Generation Marine Wireless Communication Networks讀者反饋

書目名稱Next Generation Marine Wireless Communication Networks讀者反饋學科排名

作者: sebaceous-gland 時間: 2025-3-21 23:32
https://doi.org/10.1007/978-3-030-97307-0next generation marine wireless communication networks; smart ocean; network architecture; topology opt

作者: 代替 時間: 2025-3-22 02:43

作者: Longitude 時間: 2025-3-22 06:04
Bin Lin,Jianli Duan,Lin X. CaiPresents a comprehensive reference on next generation marine wireless communication networks (MWCNs).Provides a thorough review of key technologies and their potential development prospects in MWCNs.D

作者: 上漲 時間: 2025-3-22 08:46

作者: overrule 時間: 2025-3-22 16:15
Next Generation Marine Wireless Communication Networks978-3-030-97307-0Series ISSN 2366-1186 Series E-ISSN 2366-1445

作者: declamation 時間: 2025-3-22 20:58

作者: 輪流 時間: 2025-3-23 01:09
Topology Optimization of MWCN,chitecture of MWCN with support of edge computing which integrates the Underwater Acoustic Network (UAN), the sea-surface wireless network with edge computing, and the air wireless network. Based on the hierarchical network architecture, a multi-objective optimization framework is formulated to mini

作者: 哪有黃油 時間: 2025-3-23 01:42
Autoencoder with Channel Estimation for Marine Communications,e implemented in a terrestrial environment cannot be implemented well in underwater environments. Therefore, it is very important to study the new generation of MWCNs. To solve the challenges mentioned in Sect. ., this chapter proposes a novel Orthogonal Frequency Division Multiplexing (OFDM) autoen

作者: Amendment 時間: 2025-3-23 08:52

作者: Angiogenesis 時間: 2025-3-23 12:32
Opportunistic Routing with Q-Learning for Marine Wireless Sensor Networks,will be deployed over the different depths in the ocean or on the sea surface from Marine Wireless Sensor Networks (MWSNs), to monitor the marine environment and surveil the marine ecosystem. As described in Sect. ., energy efficiency is a more difficult challenge for routing in MWSNs due to the har

作者: Expiration 時間: 2025-3-23 16:03

作者: SUE 時間: 2025-3-23 20:14

作者: 胎兒 時間: 2025-3-24 02:15
Book 2022ork deployment, the physical layer channel coding, intelligent network access and resource management, and learning-based opportunistic routing.?Finally, the authors summarize the book and?present?some open issues that will lead to new research directions in the next generation MWCNs.

作者: syring 時間: 2025-3-24 02:23
2366-1186 ologies and their potential development prospects in MWCNs.DThis book presents?a?novel framework design?for??the next generation?Marine?Wireless?Communication?Networks?(MWCNs). The authors first provide an overview of MWCNs, followed by a discussion of challenges in the?design and?development of?MWC

作者: 顛簸下上 時間: 2025-3-24 10:26