scholarly journals Network Systems Modelled by Complex Cellular Automata Paradigm

10.5772/16115 ◽  
2011 ◽  
Author(s):  
Pawel Topa
Keyword(s):  
Cellular Automata ◽  
Network Systems

A combined Monte Carlo and cellular automata approach to the unreliability analysis of binary network systems

2008 ◽  
Vol 222 (1) ◽  
pp. 31-38 ◽  
Author(s):  
E Zio ◽  
M Librizzi ◽  
G Sansavini
Keyword(s):  
Monte Carlo ◽  
Cellular Automata ◽  
Complex Networks ◽  
Case Studies ◽  
Monte Carlo Sampling ◽  
Network Systems ◽  
Minimal Cut Sets ◽  
Minimal Cut ◽  
Critical Problems ◽  
Binary Network

In the present work, cellular automata are combined with Monte Carlo sampling to solve two critical problems related to the unreliability assessment of complex networks composed of nodes interconnected by binary arcs: the identification of the minimal cut sets of the network and the computation of the Fussell—Vesely importance measures assessing the criticality of each arc with respect to the network unreliability. The effectiveness of the method is tested on two literature case studies.

A TCAD tool for the simulation of the CVD process based on cellular automata

2001 ◽  
Vol 11 (PR3) ◽  
pp. Pr3-205-Pr3-212
Author(s):  
G. Ch. Sirakoulis ◽  
I. Karafyllidis ◽  
A. Thanailakis
Keyword(s):  
Cellular Automata

Review on Fog Based Spectrum Sensing for Artificial Intelligence

2018 ◽  
pp. 66-70
Author(s):  
A. Rethina Palin ◽  
I. Jeena Jacob
Keyword(s):  
Bandwidth Allocation ◽  
Situational Awareness ◽  
Cluster Head ◽  
Mesh Network ◽  
Network Systems ◽  
Markov Logic ◽  
Wireless Mesh ◽  
Local Environments ◽  
Reactive Routing ◽  
The Hierarchical Structure

Wireless Mesh Network (MWN) could be divided into proactive routing, reactive routing and hybrid routing, which must satisfy the requirements related to scalability, reliability, flexibility, throughput, load balancing, congestion control and efficiency. DMN (Directional Mesh Network) become more adaptive to the local environments and robust to spectrum changes. The existing computing units in the mesh network systems are Fog nodes, the DMN architecture is more economic and efficient since it doesn’t require architecture- level changes from existing systems. The cluster head (CH) manages a group of nodes such that the network has the hierarchical structure for the channel access, routing and bandwidth allocation. The feature extraction and situational awareness is conducted, each Fog node sends the information regarding the current situation to the cluster head in the contextual format. A Markov logic network (MLN) based reasoning engine is utilized for the final routing table updating regarding the system uncertainty and complexity.

On the use of cellular automata as space-borne calculation systems

1998 ◽  
Vol 4 (4) ◽  
pp. 49-54
Author(s):  
V.А. Val'kovskii ◽  
◽  
D.D. Zerbino ◽  
Keyword(s):  
Cellular Automata

Improved Quantum Dot Cellular Automata 4:1 Multiplexer Circuit Unit

2014 ◽  
Vol 2014 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Arighna Sarkar ◽  
◽  
Debarka Mukhopadhyay ◽  
Keyword(s):  
Cellular Automata ◽  
Quantum Dot ◽  
Quantum Dot Cellular Automata
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