Congestion Control in Networks using Real Life Analogy and Reverse Ant Colony Optimization

Abstract

In recent years, mobile computing has enjoyed a tremendous rise in popularity. The devices need to be interconnected to share data, hardware and software. It creates a need of efficient routing in the network. A routing protocol becomes more efficient when it is assisted with a congestion control facility. Congestion is the main reason for loss of packets and wastage of resources in a network. Congestion control provides assurance for uninterrupted service without getting important data lost. TCP (Transmission Control Protocol) is known for its reliable nature and quality of service but the control overhead in TCP is not suitable for a highly dynamic network. So there is a need of light weight protocol which can work in a dynamic environment to control congestion. This paper is focused towards finding an optimal solution towards congestion control using real life analogy and reversing the behavior of artificial ants. The basic ACO will be revisited and analyzed to see how a node with lesser pheromone concentration can provide a promising solution towards congestion.

Authors and Affiliations

Palak Gupta

Keywords

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  • EP ID EP22415
  • DOI -
  • Views 230
  • Downloads 3

How To Cite

Palak Gupta (2016). Congestion Control in Networks using Real Life Analogy and Reverse Ant Colony Optimization. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(7), -. https://europub.co.uk/articles/-A-22415