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Titlebook: Message Dissemination Techniques in Opportunistic Underwater Sensor Networks; Linfeng Liu,Ran Wang,Jiagao Wu Book 2021 The Editor(s) (if a

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發(fā)表于 2025-3-21 18:54:19 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Message Dissemination Techniques in Opportunistic Underwater Sensor Networks
編輯Linfeng Liu,Ran Wang,Jiagao Wu
視頻videohttp://file.papertrans.cn/632/631069/631069.mp4
概述Is the first book focusing on the message dissemination techniques in OUSNs.Investigates the message dissemination problem from the viewpoints of nodes and data messages.Includes the architectures, ch
圖書(shū)封面Titlebook: Message Dissemination Techniques in Opportunistic Underwater Sensor Networks;  Linfeng Liu,Ran Wang,Jiagao Wu Book 2021 The Editor(s) (if a
描述.This book investigates the architectures and characteristics of OUSNs, the mobility models of OUSN nodes, the challenges of message dissemination, and some evaluation indexes of message dissemination. Then, this book provides some message dissemination techniques in OUSNs from the viewpoints of nodes and data messages, respectively. The proposed message dissemination techniques and their conclusions can provide some useful insights to improve the performance of data message dissemination and promote the future applications of OUSNs. Researchers and engineers in the field of underwater sensor networks can benefit from the book.?.
出版日期Book 2021
關(guān)鍵詞Opportunistic Underwater Sensor Networks; Message Dissemination; Underwater Mobility; Propagstion Contr
版次1
doihttps://doi.org/10.1007/978-981-33-4381-8
isbn_softcover978-981-33-4383-2
isbn_ebook978-981-33-4381-8
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Introduction,cteristics of OUSNs, the mobility models of OUSN nodes, the challenges of message dissemination, and some typical evaluation indexes of message dissemination. Then, we provide the research focus of this book. Finally, the organization of this book is illustrated.
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Freshness-Cost Ratio Optimization of Message Dissemination in OUSNs,stic cases to compute the probabilities of state transitions. Then, a distributed solution derived from the Markov decision process (MDP) is proposed to obtain the quasi-optimal actions of message holders.
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