A Review on Quality-of-Service Multicast Routing Techniques Based on Genetic Algorithm in Manet

-Mobile Ad Hoc Network is a collection of mobile nodes that communicates with each other over wireless links. MANETs are dynamic and self configuring networks with self-administration. Due to mobility of nodes in MANETs which results in frequent and arbitrarily changes in network topology, providing quality of service of multicast routing in MANETs is a challenging and critical task. Different approaches such as Genetic algorithms, Swarm intelligence, ACO techniques, fuzzy Logic and Neural Networks to support QoS in MANETs are proposed by the researchers. Genetic Algorithms are proved as a good approach for routing in MANETs. The main reason behind that is Genetic Algorithms are searching algorithms belongs to the class of evolutionary algorithms (EAs), which generate solutions to optimization problems using techniques inspired by natural evolution. QoS routing and to find optimal and feasible paths is a NP-Complete problem. Genetic Algorithm gives promising results to such critical problems. In this paper QoS based multicast routing techniques based on Genetic Algorithm (GA) are reviewed that determine routes based on QoS constraints based on GA.