Probabilistic approach-based congestion-aware swarm-inspired load-balancing multipath data routing in MANETs

Abstract

The major causes of network congestion are the irrational allocation of network resources. Solution is to make more effectively use of the network resources by adjusting the traffic depending on choice may be probabilistic. In mobile ad hoc networks, congestion creates delay in transmission and also loss of a packet that causes wastage of time and energy. New challenges have come considering the major limitations, like node’s limited processing power, balance the load of network. To overcome the above problems, we use the ants swarm intelligence based on the concept of evolutionary cooperation to reinforce good quality routes. In this paper, we propose a scheme to identify the congestion among nodes. In this scheme, we develop a mathematical model considering the swarm-based ant intelligence, which provide an efficient congestion control routing mechanism using ant’s probabilistic transition rule.