Topological network traffic compression
… Topological Network Tra c Compression framework, which is divided into the following three
primary modules: 2.1 Topology … necessarily rely on the physical network topology; instead, it …
primary modules: 2.1 Topology … necessarily rely on the physical network topology; instead, it …
Topological Graph Signal Compression
… traffic storage in today’s Internet Service Providers (ISP) networks[1], and set the target to
compress … This is what motivated us to choose ISP Traffic Compression for testing our proposed …
compress … This is what motivated us to choose ISP Traffic Compression for testing our proposed …
Optimal traffic networks topology: A complex networks perspective
JJ Wu, ZY Gao, H Sun - Physica A: Statistical Mechanics and its …, 2008 - Elsevier
… an optimal traffic network structure for resisting traffic congestion with different volumes of
traffic. For … (UE) which ensures the flow balance on traffic systems. Our finding is that an optimal …
traffic. For … (UE) which ensures the flow balance on traffic systems. Our finding is that an optimal …
Compressed sensing in multi-hop large-scale wireless sensor networks based on routing topology tomography
Y Li, Y Liang - IEEE Access, 2018 - ieeexplore.ieee.org
… of packet forwarding to achieve a better traffic and energy balance. In our CS validation, we
have adopted and deployed the Routing Topology Recovery (RTR) scheme proposed by Liu …
have adopted and deployed the Routing Topology Recovery (RTR) scheme proposed by Liu …
Topological graph convolutional network-based urban traffic flow and density prediction
… topology since routes are naturally graphs. In this article, we propose a … on topological
GCN solution for predicting the traffic density in urban areas that potentially suffer from the traffic …
GCN solution for predicting the traffic density in urban areas that potentially suffer from the traffic …
Network Traffic Compression With Side Information
… from network traffic, we study universal compression with side … compression of finite-length
sequences (up to hundreds of kilobytes) fundamentally suffers from a significant compression …
sequences (up to hundreds of kilobytes) fundamentally suffers from a significant compression …
Congestion in different topologies of traffic networks
JJ Wu, ZY Gao, HJ Sun, HJ Huang - Europhysics letters, 2006 - iopscience.iop.org
… By simulating the relationship between the congestion factor and traffic flows, we attempt
to find the optimal topology, which is prone to resisting congestion and bearing the maximum …
to find the optimal topology, which is prone to resisting congestion and bearing the maximum …
A compressive sensing-based approach to end-to-end network traffic reconstruction
… network traffic matrix, by combining certain flow traffic models and a priori information such
as link loads, routing configuration, and network topology—… matrices for compressed sensing …
as link loads, routing configuration, and network topology—… matrices for compressed sensing …
Topology-Compressed Data Delivery in Large-Scale Heterogeneous Satellite Networks: An Age-Driven Spatial-Temporal Graph Neural Network Approach
R Gao, B Zhang, Q Zhang… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
… Network (STGNN) to extract the topological features in both temporal and spatial dimensions
and a Graph Matching Network (GMN)-based topology compression … )-based sudden traffic …
and a Graph Matching Network (GMN)-based topology compression … )-based sudden traffic …
Scalable network traffic visualization using compressed graphs
… topology details, which are critical to traffic pattern analysis and discovery. In this paper, we
introduce a new graph simplification method to the network traffic … the social network research …
introduce a new graph simplification method to the network traffic … the social network research …
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