LAUSR

Abstract Mobile ad-hoc network (MANET) is a wireless ad hoc network, which is quickly deployable and functions without any infrastructure. This work proposes a hybrid optimization algorithm, named Chronological-Earth Worm optimization Algorithm (C-EWA), for performing effective clustering and adjusts power and energy parameters using topology management. In this paper, initially a graph that is equivalent to the network is constructed, and then, clustering of the graph is performed using the proposed C-EWA to generate an optimal cluster head. C-EWA is developed by the integration of chronological theory in EWA, with the use of the objective function. Here, the objective function considers several factors that involve power, connectivity, mobility, link lifetime, and distance. After choosing appropriate clusters, each of the nodes that belong to the cluster constructs a Gabriel graph within the corresponding cluster. Once the Gabriel graph is constructed, each node updates the list of neighbor and maintains the graph connectivity and adjusts the power of transmission based on the connectivity. The performance of the proposed method shows superior performance in terms of remaining battery power, mobility, throughput, delay and connectivity with values of 21.960 J, 0.729, 0.713, 0.295, and 5.256, respectively.