Mutual Constraint Based GA Suggested Routing Algorithm for Improving QoS in Clustered MANETS

Mobile Ad-Hoc Network is a compilation of self-organized wireless devices that momentarily interconnects to support communication. In conjunction with the network characteristics like mobile nature and infrastructure less, some external factors also influence network Quality of Service (QoS). To ensure QoS in the network, QoS based optimizations and routing algorithms have been anticipated that concentrate limited metrics or result in sub-optimal solutions. To bridge the gap between QoS sustainability and to resolve sub optimal solution, Genetic Algorithm (GA) based Quality of Service Routing (QR) is proposed. This routing incorporates clustering algorithm based on preference that is designed to co-exist with GA based QR under undisputed constraints. This generates prolonged communication with higher convergence, preventing earlier optimal solution drain caused due to unstable clusters and frequent neighbor replacements. The proposed GA–QR is evaluated using the network metrics: throughput, end-to-end delay, overhead, etc.