Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 2, Pages: 1-8
Rohit N. Devikar1*, D. V. Patil2 and V. Chandraprakash1
1Department of Computer Science and Engineering, K. L. University, Vaddeswaram, Guntur - 522502, Andhra Pradesh, India; [email protected], [email protected] 2Department of Computer Engineering, R. H. Sapat College of Engineering, Nasik - 422005, Maharashtra, India; [email protected]
*Author For Correspondence
Rohit N. Devikar
Department of Computer Science and Engineering, K. L. University, Vaddeswaram, Guntur - 522502, Andhra Pradesh, India; [email protected]
Objectives: Nowadays the Internet has become vital to each and every one. It is sensitive to link failures and node failures due to many reasons in the network connectivity. Any change in the node or link may change the routing table of many nodes. Due to this change, the routing table of many nodes may be unstable. These failures lead to increase the convergence time of network. The paper focused on reducing the convergence time of network. Methods-In this research paper, we have proposed a novel approach that keeps the value of Minimum Route Advertisement Interval (MRAI) timer fickle. In this approach, depending on the position of receiver, the value of the MRAI timer is varying. In this research, if more than one route is available to reach the destination then we have used the soft computing approach so that the load is balanced over all the paths that are reaching to the destination to avoid the congestion. Result: The approach used in this paper focuses on fast network convergence and maximum link utilization. The Fickle MRAI used in the network for reducing the convergence time up to 5 second, also the use of load balancing approach to improve link utilization of the network. Conclusion: The proposed work improves fast network convergence and utilization of bandwidth as the traffic flows from the entire shortest paths in the network.
Keywords: Autonomous System, Border Gateway Protocol, Congestion Control, Load Balancing
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