An Approach to Optimized Genetic based Clustering Algorithm in Mobile Ad hoc Network

Mobile Ad hoc Network (MANET) are autonomous, distributed, multi-hop routing, reconfigurable Network. MANETs are mainly used for a quick deployment of a cooperative and distributed computing network. Clustering algorithm also plays an important role in MANET. This paper conducts the research on Weighted Clustered algorithm (WC). WC is an on-demand, distributed, weight-based MANET clustering algorithm. It considered ideal node density, battery power and its combination effect, flexible allocation and its weight factor of nodes when choosing head nodes, which will improve the weight and strength of MANET. This paper simulates on WCGA by NS2, the result shows that WCGA is more effectively to form grouping than WC, lowers the information updating expenses of the grouping network, and optimizes the usage of network bandwidth. WCGB effectively improves the MANET accessibility and stability.

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An Approach to Optimized Genetic based Clustering Algorithm in Mobile Ad hoc Network

Semantic Scholar · Computer Science · 2018

Abstract

Mobile Ad hoc Network (MANET) are autonomous, distributed, multi-hop routing, reconfigurable Network. MANETs are mainly used for a quick deployment of a cooperative and distributed computing network. Clustering algorithm also plays an important role in MANET. This paper conducts the research on Weighted Clustered algorithm (WC). WC is an on-demand, distributed, weight-based MANET clustering algorithm. It considered ideal node density, battery power and its combination effect, flexible allocation and its weight factor of nodes when choosing head nodes, which will improve the weight and strength of MANET. This paper simulates on WCGA by NS2, the result shows that WCGA is more effectively to form grouping than WC, lowers the information updating expenses of the grouping network, and optimizes the usage of network bandwidth. WCGB effectively improves the MANET accessibility and stability.

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