Ant Colony Optimization Based Congestion Control Algorithm for MPLS Network

Multi-Protocol Label Switching (MPLS) is a mechanism in high-performance telecommunications networks which directs and carries data from one network node to the next with the help of labels. MPLS makes it easy to create "virtual links" between distant nodes. It can encapsulate packets of various network protocols. MPLS is a highly scalable, protocol agnostic, data-carrying mechanism. Packet-forwarding decisions are made solely on the contents of this label, without the need to examine the packet itself. This allows one to create end-to-end circuits across any type of transport medium, using any protocol. There are high traffics when transmitting data in the MPLS Network due to emerging requirements of MPLS and associated internet usage. This paper proposes an Ant Colony Optimization (ACO) technique for traffic management in MPLS Network. ACO is a swarm intelligence methodology which offers highly optimized technique for dozen of engineering problems. In our proposed work, the ACO provides optimal value than existing algorithms.