A Swarm-based Distance Vector Routing to Support Multiple Quality of Service (QoS) Metrics in Mobile Adhoc Networks

Abstract

Quality of Service support for Mobile Ad-hoc Networks is a challenging task due to dynamic topology and limited resource. The main purpose of QoS routing is to find a feasible path that has sufficient resources to satisfy the constraints. A fundamental problem in QoS routing is to find a path between a source and destination that satisfies two or more end-to-end QoS constraints. In this paper a novel QoS routing algorithm called Swarm-based Distance Vector Routing based on ant colony optimization is proposed to support delay, jitter and energy constraints. The simulation results of SDVR are compared with the reactive routing protocol Adhoc On demand Distance Vector routing. SDVR produces better performance than AODV in terms of packet delivery ratio, throughput, end-to-end delay, energy, and jitter.