malignant 发表于 2025-3-21 18:46:15
书目名称Communications and Networking影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0242216<br><br> <br><br>书目名称Communications and Networking影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0242216<br><br> <br><br>书目名称Communications and Networking网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0242216<br><br> <br><br>书目名称Communications and Networking网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0242216<br><br> <br><br>书目名称Communications and Networking被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0242216<br><br> <br><br>书目名称Communications and Networking被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0242216<br><br> <br><br>书目名称Communications and Networking年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0242216<br><br> <br><br>书目名称Communications and Networking年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0242216<br><br> <br><br>书目名称Communications and Networking读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0242216<br><br> <br><br>书目名称Communications and Networking读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0242216<br><br> <br><br>痛苦一生 发表于 2025-3-21 23:53:26
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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可以任性 发表于 2025-3-22 13:38:25
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可以任性 发表于 2025-3-22 20:23:42
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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 oSurgeon 发表于 2025-3-23 02:12:46
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 rateGRAZE 发表于 2025-3-23 09:13:50
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