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

malignant

書(shū)目名稱Communications and Networking影響因子(影響力)




書(shū)目名稱Communications and Networking影響因子(影響力)學(xué)科排名




書(shū)目名稱Communications and Networking網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Communications and Networking網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Communications and Networking被引頻次




書(shū)目名稱Communications and Networking被引頻次學(xué)科排名




書(shū)目名稱Communications and Networking年度引用




書(shū)目名稱Communications and Networking年度引用學(xué)科排名




書(shū)目名稱Communications and Networking讀者反饋




書(shū)目名稱Communications and Networking讀者反饋學(xué)科排名

痛苦一生

Fierce

青石板

limber

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

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

極微小

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

Surgeon

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

GRAZE

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