Research on Network Topology Model of Tactical Communication System

2020 ◽  
Author(s):  
Yuan Wei ◽  
Fan Wu
Keyword(s):  
Network Topology ◽  
Communication System ◽  
Topology Model

Modeling and Simulation for Complex Network Based Military System-of-Systems (SoS)

2011 ◽  
Vol 145 ◽  
pp. 224-228 ◽  
Author(s):  
Xiao Song ◽  
Bing Cheng Liu ◽  
Guang Hong Gong
Keyword(s):  
Modeling And Simulation ◽  
Complex Network ◽  
Network Topology ◽  
Network Theory ◽  
Small World ◽  
System Of Systems ◽  
Statistical Parameters ◽  
Complex Network Theory ◽  
Scale Free ◽  
Topology Model

Military SoS increasingly shows its relation of complex network. According to complex network theory, we construct a SoS network topology model for network warfare simulation. Analyzing statistical parameters of the model, it is concluded that the topology model has small-world, high-aggregation and scale-free properties. Based on this model we mainly simulate and analyze vulnerability of the network. And this provides basis for analysis of the robustness and vulnerability of real battle SoS network.

A Weighted Network Topology Model of WSN Based on Random Geometric Graph Method

2014 ◽  
Vol 962-965 ◽  
pp. 2898-2902 ◽  
Author(s):  
Yue Qing Ren ◽  
Zhi Qiang Zhang
Keyword(s):  
Graph Theory ◽  
Energy Consumption ◽  
Network Topology ◽  
Real World ◽  
Geometric Theory ◽  
Geometric Graph ◽  
Random Geometric Graph ◽  
Communication Signal ◽  
Random Graph Theory ◽  
Topology Model

Focus on the weakness of modeling WSN topology by the means of random graph theory, a new weighted topology model of WSN based on random geometric theory is proposed in this paper. For the proposed new network model, the weighting scheme of network edge take into account the property of distance decreasing effect for communication signal. It also defines the differential weight which can embody the energy consumption for network communication. Based on simulations and calculations of the measures for the network topology as well as comparison with other forms of network, the results indicate that the proposed network topology model can not only describe the interrelated connected relationship between different nodes but also verify the degree of node is subject to Poisson distribution. It also has prominent clustering effects. These properties are consist with real world networks.

Research of Asynchronous Communication Based on the 1394 Bus Network

2013 ◽  
Vol 760-762 ◽  
pp. 542-545
Author(s):  
Jin Xu ◽  
Qiao Wang ◽  
Jian Wei Tian ◽  
Zheng Mao Mei
Keyword(s):  
Network Topology ◽  
Communication System ◽  
High Reliability ◽  
Asynchronous Transfer Mode ◽  
Asynchronous Communication ◽  
Transfer Mode ◽  
Communication Mechanism ◽  
Node Architecture ◽  
Control Computer ◽  
Bus Network

This paper introduced the asynchronous communication mechanism in 1394 bus network, and described 1394 network communication system for building the network topology, node architecture and asynchronous transfer mode communication. We proposed a 1394 bus network asynchronous communication mechanism with high-security, high-reliability. At last it verified the communication in the network with one control computer and four remote nodes.

Research on Location Management Based on Irregular Cellular Network Topology Model

2010 ◽  
Vol 21 (6) ◽  
pp. 1353-1363
Author(s):  
Xiao-Min ZHAO ◽  
Mei-Ya LANG ◽  
Qing-Zhang CHEN
Keyword(s):  
Network Topology ◽  
Cellular Network ◽  
Location Management ◽  
Topology Model

scholarly journals Communication system model with a dynamic network topology based on multi-element regular cluster structures in the information discrete systems representation field.

2021 ◽  
Author(s):  
V.N. Makovsky ◽  
◽  
A.M. Rakhmatulin ◽  
A.N. Smirnov ◽  
◽  
...  
Keyword(s):  
Network Topology ◽  
Communication System ◽  
Dynamic Network ◽  
Discrete Systems ◽  
System Model ◽  
System State ◽  
State Recognition ◽  
Partially Observed

The article deals with the main problems associated with the communication system state recognition with the dynamic network topology of partially observed systems.

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