期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：54
期号：3
出版社：Journal of Theoretical and Applied
摘要：On MPLS/GMPLS networks, heavy data loss occurs within the minimum duration of time, during fault prevalence. It is difficult to handle these faults as it may cause critical network survivability issue. Most of the research estimates the failure probability, bandwidth and delay of all routes using the traditional shortest path algorithm which leads to huge delay and overhead. In order to detect the fault in real time scenario, in this paper, we propose information based fault detection and grouping for fault detection in GMLPS/MPLS. In this technique, fault detection is based on the data present in the network. This involves the detection of router fault, link failure, and fault at nodes. In order to enhance the fault detection of an MPLS network, it has been considered forward detection and backward detection. This detection technique provides the next generation researchers a chance to detect the fault detection and solution techniques according to information already present in the network and the real need of the network. Simulation results show that the proposed approach provides high detection accuracy with reduced loss and delay.
