Adaptive Weighted Clustering Algorithm for Mobile Ad-hoc Networks

Adaptive Weighted Clustering Algorithm for Mobile Ad-hoc Networks

Автор: Adwan Yasin, Salah Jabareen

Журнал: International Journal of Computer Network and Information Security(IJCNIS) @ijcnis

Статья в выпуске: 4 vol.8, 2016 года.

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In this paper we present a new algorithm for clustering MANET by considering several parameters. This is a new adaptive load balancing technique for clustering out Mobile Ad-hoc Networks (MANET). MANET is special kind of wireless networks where no central management exits and the nodes in the network cooperatively manage itself and maintains connectivity. The algorithm takes into account the local capabilities of each node, the remaining battery power, degree of connectivity and finally the power consumption based on the average distance between nodes and candidate cluster head. The proposed algorithm efficiently decreases the overhead in the network that enhances the overall MANET performance. Reducing the maintenance time of broken routes makes the network more stable, reliable. Saving the power of the nodes also guarantee consistent and reliable network.

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MANET, Clustering, Connectivity, Power, Node Capabilities, Transmission range

Короткий адрес: https://sciup.org/15011516

IDR: 15011516

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