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Titlebook: Communications and Networking; 18th EAI Internation Feifei Gao,Jun Wu,Shangguang Wang Conference proceedings 2024 ICST Institute for Comput

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發(fā)表于 2025-3-21 18:46:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Communications and Networking
副標(biāo)題18th EAI Internation
編輯Feifei Gao,Jun Wu,Shangguang Wang
視頻videohttp://file.papertrans.cn/243/242216/242216.mp4
叢書名稱Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
圖書封面Titlebook: Communications and Networking; 18th EAI Internation Feifei Gao,Jun Wu,Shangguang Wang Conference proceedings 2024 ICST Institute for Comput
描述.This book constitutes the refereed proceedings of the 18th EAI International Conference on Principles and Practice of Multi-Agent Systems, ChinaCom 2023, held in Sanya, China, in November 2023...The 34 full papers presented were carefully reviewed and selected from 88 submissions...The conference covers a wide range of topics, such as: advanced networking and optimization strategies; signal processing and communication optimization; deep learning applications and optimization; scheduling and transmission optimization; edge computing and artificial intelligence applications;???.
出版日期Conference proceedings 2024
關(guān)鍵詞Federated Learning and application; Edge Computing & Collaborative working; Recommendation System; Bloc
版次1
doihttps://doi.org/10.1007/978-3-031-67162-3
isbn_softcover978-3-031-67161-6
isbn_ebook978-3-031-67162-3Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024
The information of publication is updating

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Dynamic Resource Allocation for?Network Slicing in?LEO Satellite Networksropose a heuristic algorithm named MMAS-RA based on max-min ant system algorithm for resource dynamic allocation. The experimental results in four typical scenarios illustrate that our method improves up to 32.26% traffic deployment success rate and 67.02% resource utilization rate compared with the
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Anti-attack Trust Evaluation Algorithm Based on?Bayesian Inference in?VANEThe current and previous interaction of vehicles, to mitigate on-off attack. A dynamic driving reference set is designed based on the location information of received messages, since the forward and lateral vehicles of driving direction can provide more valuable information. Moreover, we built a VANE
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Analytic Hierarchy Process Based Cell Reselection for?Inactive Users in?LEO Satellite Networkselection could be determined. Furthermore, the Received Signal Strength and the Remaining Service Time of users are weighted according to various QoS requirements, which will decide the optimal reselection cell, thereby reducing cell reselection times. Simulation results demonstrate the efficiency o
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Enhancing Network Intrusion Detection with?Deep Oversampling and?Convolutional Autoencoder for?Imbalnd high quality. To assess the efficacy of our approach, we performed comparison experiments using the UNSW-NB15 dataset. The experimental findings demonstrate that the proposed strategy yields a balanced dataset that can be utilized well for classification learning. Furthermore, the detection rate
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Analyzing Average Age of?Information in?CRDSA Protocol with?Access-Banned Policy system is given. The analysis process considers the probabilities of successful and failed decoding and the impact of decoding on delay, thus gaining a deep understanding of the freshness of information in the CRDSA system. The research results of this paper are of great significance for optimizing
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