Swarm Intelligence Based multicast Routing and Bandwidth Management protocol for Ad-hoc wireless Network Using Backpressure Restoration

Abstract

Mobile Ad-hoc Network (MANET) has emerged as the self organized wireless interconnection for the various applications in random topology. How ever, achieving reliable multicast transmission in MANET is crucial due to the change in network topology caused by the node mobility. Modern communication network is becoming diverse and heterogeneous. This is the consequence of an increasing array of devices and services, both wired and wireless. The need for seamless interaction of numerous heterogeneous network components represents a formidable challenge, especially for networks that have traditionally used centralized methods of network control. This paper, Swarm Intelligence Based Routing and Bandwidth Management in Mobile Ad Hoc Networks Using Backpressure Restoration (SIRBM BR) deals with the inability of the network to recover in case of failure networks, to reduce the maintenance overhead, increase the path stability, reducing the congestion in Mobile Ad-hoc Network. We are introducing a new concept of two ants one acting as load agents and another as strategy agent to ensure better performance. The strategy agent is a software acting as a processor which controls and guide the load agents as forward ants and back word ants. We are using a Backpressure Technique for network activities as link failure and restoration of link information. The Backpressure technique required to send a message Ant regarding the failure of link. Thus reducing congestion in network and improving network bandwidth utilization.