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The multi hop packet radio networks also named mobile ad-hoc networks (MANETs) have a dynamic topology due to the mobility of their nodes. A notable amount of energy is utilized every time a signal is sent and received by a mobile node. Many such signals and power are wasted to update the positional information of the nodes in a wireless scenario. Further bandwidth is also wasted by sending control signals rather than using it effectively for data communication. To minimize this utilization, we propose a modified algorithm that uses Weighted Clustering Algorithm (WCA) for cluster formation and Mobility Prediction for cluster maintenance. Clustering is an effective technique for node management in a MANET. Cluster formation involves election of a mobile node as Cluster head and it controls the other nodes in the newly formed cluster. The connections between nodes and the cluster head changes rapidly in a mobile ad-hoc network. Thus cluster maintenance is also essential. Prediction of mobility based cluster maintenance involves the process of finding out the next position that a mobile node might take based on the previous locations it visited. In this paper we propose to reduce the overhead in communication by predicting mobility of node using linear auto regression and cluster formation.

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A Mobile Ad Hoc Network (MANET) is a collection of two or more mobile devices (e.g. PDAs, laptop, cell phones, etc.) with multi-hop wireless communication. Clustering has evolved as an important research topic in MANETs as it improves the system performance of large MANETs. Due to the dynamic nature of the mobile nodes, their association and disassociation to and from clusters perturb the stability of the network and the problem becomes worse if these nodes are cluster heads. Eventually, the clustering stability in MANET would be significantly affected. To enhance the network stability, in this paper we introduce an Enhanced Sectorized Clustering Scheme based on Transmission Range for MANETS (ESCS), that pays special attention to the selection of a suitable node for the role of cluster head and the formation of cluster. An Enhanced Sectorized clustering scheme is achieved by electing a cluster head based on residual energy along with the staying time of nodes and the cluster is formed based on the transmission range of the cluster head. The simulation results of NS2 show that the proposed clustering scheme can reduce the average number of re-affiliations and increase the stability of the cluster.

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