Mobile Adhoc networks are the prerequisite for any organized, distributed, infrastructure less wireless network particularly for the network-centric field operations such as disaster recovery or other emergency situations. The large-scale deployment of mobile adhoc networks deals with issues such as low throughput, end to end delay and the energy drain problems. To resolve most of these issues in large scale deployment of mobile adhoc networks, a hierarchical structure of MANET has been designed with the cluster head selection. In this work, an attempt to select the best node as cluster head has been proposed with weighted algorithm modified with genetic algorithm, by considering the metrics such as residual energy, link state, node degree, mobility and time factor. The simulation setup was proposed with ns2 simulator and the experimental analysis has been plotted with PYGAD tool in python.

Mobile Ad hoc Network, Weighted clustering algorithm, Genetic Algorithm, cluster head.