SiCaL: a swarm inspired congestion aware probabilistically load balance routing in MANETs

摘要

The major cause of network congestion is the irrational allocation of network resources. The solution is to make more effective use of the network resources by adjusting the traffic probabilistically. In this paper, we propose SiCaL, an algorithm for routing in MANETs. The algorithm is based on nature inspired ant colony optimisation framework. Using SiCal, the algorithm will identify the congestion areas among nodes to the destination to avoid the congestion in the intermediate links and also minimise the packet loss in the network. In this scheme, we develop a mathematical model considering the swarm-based ant intelligence, which provides an efficient congestion control routing mechanism. With a set of simulation experiments, we compare SiCal with AntHocNet, a reference algorithm in this research area. We show that our algorithm SiCal can better perform AntHocNet over a broad range of possible network scenarios, like packet delivery ratio, and throughput.