Efficient Scheduler Based on Swarm Intelligence to Improve QoS of MANETs

Abstract

Mobile Ad Hoc Network (MANET) is a collection of wireless mobile nodes making a temporary network without using centralized access points, infrastructure, or centralized administration. It is a dynamic multi hop wireless network which is established by a set of mobile nodes on a shared wireless channel. For an efficient network formation, mobile nodes should be capable enough to utilize the available query resources optimally. One of the major issues in MANETs is routing due to the mobility of the nodes. Routing is the act of moving information across the network from a source to a destination. When it comes to MANETs, the complexity increases due to various characteristics like dynamic topology, time varying QoS requirements, limited resources and energy etc. The primary challenge in building MANETs is to find the optimal path between the end points for handling user’s QoS requirements. In this dissertation, to utilize the available query resources optimally, queue scheduling is proposed. Scheduling is a way by which multiple threads and processes get access to system resources. Scheduling algorithm improves the quality by allocation of packets to queues. Scheduling algorithms improves the quality by allocation of packets to queues. So for this, a scheduling algorithm based on swarm intelligence is proposed to improve QoS for MANETs. The approach combines the idea of ACO and BCO with the scheduling algorithm that schedules the packets transferring from individual nodes. Results showed that by integrating scheduling algorithm with ACO and BCO, the performance of AODV and AOMDV protocols improves as compare to that using only AODV and AOMDV. Better Packet Delivery Ratio, minimum packet loss and better throughput is obtained.