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Multilevel Modeling in Heterogeneous Wireless Sensor Network for Improved Energy Efficiency


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1 Department of Computer Science and Engineering, Gnanamani College Technology, India
     

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In this paper, two primary and secondary parameters are proposed for a heterogeneous network model (HNM). In such a model, the heterogeneous network describes nodes with a finite energy level based on the parameter value. It evaluates the performance of the proposed HNM protocol and further tests the HNM multilevel protocol. For a finite heterogeneity level MHNM protocol is denoted by MLHNM-n. The secondary parameter determines the total nodes at each level of heterogeneity. The proposed protocol provides two parameters for determining the energy and density of the cluster heads of residual nodes. The proposed protocol will be tested by six level networks. The energy dissipation decreases and results in an increase in network life.

Keywords

Network Lifetime, Multi Heterogeneity, Number of Rounds, Clustering.
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  • Multilevel Modeling in Heterogeneous Wireless Sensor Network for Improved Energy Efficiency

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Authors

R. Lakshminarayanan
Department of Computer Science and Engineering, Gnanamani College Technology, India
S. Sakthivel
Department of Computer Science and Engineering, Gnanamani College Technology, India

Abstract


In this paper, two primary and secondary parameters are proposed for a heterogeneous network model (HNM). In such a model, the heterogeneous network describes nodes with a finite energy level based on the parameter value. It evaluates the performance of the proposed HNM protocol and further tests the HNM multilevel protocol. For a finite heterogeneity level MHNM protocol is denoted by MLHNM-n. The secondary parameter determines the total nodes at each level of heterogeneity. The proposed protocol provides two parameters for determining the energy and density of the cluster heads of residual nodes. The proposed protocol will be tested by six level networks. The energy dissipation decreases and results in an increase in network life.

Keywords


Network Lifetime, Multi Heterogeneity, Number of Rounds, Clustering.

References