A near-optimal multicast scheme for mobile ad hoc networks using a hybrid genetic algorithm
ABSTRACT
An ad-hoc mobile network is a collection of mobile nodes that are dynamically and arbitrarily located in such a manner that the interconnections between nodes are capable of changing on a continual basis. The primary goal of such an ad-hoc network routing protocol is correct and efficient route establishment between a pair of nodes so that messages may be delivered in a timely manner.Multicasting is to send single copy of a packet to all of those of clients that requested it, and not to send multiple copies of a packet over the same portion of the network, nor to send packets to clients who don’t want it.
The Adhoc Multicast Routing Protocol (AMRoute) presents a novel approach for robust IP Multicast in mobile ad-hoc networks by exploiting user-multicast trees and dynamic logical cores. It creates a bi-directional, shared tree for data distribution using only group senders and receivers as tree nodes. Unicast tunnels are used as tree links to connect neighbors on the User-multicast tree. Thus AMRoute does not need to be supported by network nodes that are not interested/capable of multicast, and group State Cost is incurred only by group senders and receivers. Also, the use of tunnels as tree links implies that tree structure does not need to change even in case of a dynamic network topology, which reduces the signaling traffic and packet loss. Thus AMRoute does not need to track network dynamics; the underlying Unicast protocol is solely responsible for this function.AMRoute does not require a specific Unicast routing protocol; therefore, it can operate seamlessly over separate domains with different Unicast protocols. We have tried to overcome the transient loops in the mesh creation. Also we have implemented the Dynamic core migration technique by using a timer which periodically changes the current core node, so that the efficiency of the protocol can be improved. A near-optimal multicast scheme for mobile ad hoc networks using a hybrid genetic algorithm
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