Djomadji, E.M.D., Basile, K.I., Christian, T.T., Djoko, F.V.K. and Sone, M.E. (2023) Machine Learning-Based Approach for Identification of SIM Box Bypass Fraud in a Telecom Network Based on CDR Analysis: Case of a Fixed and Mobile Operator in Cameroon. Journal of Computer and Communications, 11, 142-157.
https://doi.org/10.4236/jcc.2023.112010

has been cited by the following article:

• TITLE: Modelling of a WDM Network Using Graph Theory and Dijkstra Algorithm for Traffic Redirection

  AUTHORS: Eric Michel Deussom Djomadji, Ebude Carine Awasume, Eloundou Boris Donald

  KEYWORDS: Graph Theory, Backbone Network, WDM, Djikstra Algorithm

  JOURNAL NAME: Journal of Computer and Communications, Vol.12 No.7, July 26, 2024

  ABSTRACT: Optical transport networks are now the basic infrastructure of modern communications systems, including the SDH and WDM backbone network of local network operators, in the case of Cameroon. Given the colossal investments required to deploy these networks, particularly related to the cost of equipment (optical fibers, transponders and multiplexers), the optimization of bandwidth and dynamic allocation of resources is essential to control operating costs and ensure continuity of service. Automatic switching technology for optical networks brings intelligence to the control plane to fully facilitate bandwidth utilization, traffic redirection, and automatic configuration of end-to-end services. This paper considers a local network operator’s WDM network without the implementation of the automatic switching technology, develops a network modeling software platform called Graphic Networks and using graph theory integrates a particularity of the automatic switching technology, which is the automatic rerouting of traffic in case of incident in the network. The incidents considered here are those links or route failures and node failures.