Analysis of Ant Colony Optimization-based routing in optical networks in the presence of byzantine failures

2016 ◽  
Vol 340-341 ◽  
pp. 27-40 ◽  
Author(s):  
Gustavo Sousa Pavani ◽  
Anderson de França Queiroz ◽  
Jerônimo Cordoni Pellegrini
Optik ◽  
2015 ◽  
Vol 126 (1) ◽  
pp. 45-49
Author(s):  
Yanyan Xu ◽  
Guanggui Chen ◽  
Yeying Xu

2016 ◽  
Vol 34 (23) ◽  
pp. 5534-5541 ◽  
Author(s):  
Constantine A. Kyriakopoulos ◽  
Georgios I. Papadimitriou ◽  
Petros Nicopolitidis ◽  
Emmanouel Varvarigos

Author(s):  
Ana Maria Sarmiento ◽  
Gerardo Castañón ◽  
Fernando Lezama

Routing and Wavelength Assignment (RWA) in an arbitrary mesh network is an NP-complete problem. So far, this problem has been solved by linear programming for network topologies with a few nodes, and sub-optimally solved for larger networks by heuristic strategies and the application of optimization algorithms such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Differential Evolution (DE), etc. In this chapter, the authors present the use of Ant Colony Optimization (ACO) to find near optimal solutions to the routing and wavelength assignment problem in real sized networks with up to 40 nodes and 65 connecting links. They compare their results to the lower bounds obtained by the Nagatsu’s method, finding them to be equal or very close (one wavelength over) to them.


2012 ◽  
Vol 3 (2) ◽  
pp. 18-32 ◽  
Author(s):  
Ilham Benyahia

Optical and ad-hoc networks which fulfill the communications requirements of complex applications must meet the Quality of Service (QoS) demanded by these applications, such as transmission delay. These demands are hard to satisfy in the presence of unpredictable behavior in the environment such as interference, traffic congestion, etc. Algorithms based on Ant Colony Optimization (ACO) offer an effective approach to meet such challenges since they are well suited to the dynamic routing optimization and dynamic resource reassignment required by these applications. In this paper, the author presents a survey of Ant Colony Optimization variants applied to ad-hoc and optical networks. The ACO variant called AntHocNet in particular will be reviewed, analyzed, and criticized from the point of view of emergent applications for environment management such as Intelligent Transportation Systems (ITS).


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