Swarm intelligence movement control in a MANET based on awareness of traffic condition
University of New Brunswick
Mobile Ad-hoc Networks (MANETs) are a set of dynamic wireless mobile nodes that perform without any centralized control or fixed infrastructure. Each mobile node in a MANET moves unpredictably, which causes rapid changes in the network topology. Frequent changes in the topology affect network performance, resulting in continuous disconnection between communication nodes. The proposed algorithms Slow Down Speed (SDS) and Ant System Node Control (ASNC) aim to control the movement of the mobile nodes based on awareness of traffic conditions. SDS is a simple self-organization algorithm, while ASNC is a complex self-organization algorithm adapted from ant swarming behavior in nature. The new proposed algorithms are simulated using Network Simulator 2 over Ad-hoc On-Demand Distance Vector (AODV) and Destination Sequenced Distance-Vector (DSDV) routing protocols. The results of SDS and ASNC show significant improvement in the performance of a MANET. In general, the reactive routing protocol, AODV, shows the best results for both SDS and ASNC.