DMGEECA: Density Based Mean Grid Energy Efficient Clustering Algorithm for Mobile Wireless Sensor Networks
DOI:
https://doi.org/10.26438/ijcse/v6i3.2733Keywords:
MWSNs, Clustering, Grid, Density, Mobility, Energy EfficiencyAbstract
Clustering is an important technique in Mobile Wireless Sensor Networks to reduce the communication overhead in several cases and reduce the energy consumption. In this paper, we propose a new clustering algorithm, DMGEECA(Density Based Mean Grid Energy Efficient Clustering Algorithm for Mobile Wireless Sensor Networks). The objective of our proposed algorithm is to elect a Cluster Head and increase the number of Cluster Heads based on the density of nodes in the area to reduce the energy consumption and thereby increasing the network lifetime. Simulations are carried out to evaluate the performance of our clustering algorithm by comparing its performance with the previous work. The results of simulation demonstrate that our proposed clustering algorithm outperforms the other algorithms in terms of Network Lifetime, Energy Consumption.
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