Multi-Level Fuzzy Cluster Based Trust Estimation for Hierarchical Wireless Sensor Networks

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Published Nov 1, 2020
https://doi.org/10.47164/ijngc.v11i3.183
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Volume 11, Issue 3, November 2020

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RAHUL DAS
Mansarovar Global University, Madhya Pradesh, India
Mona Dwivedi
Mansarovar Global University, Madhya Pradesh, India

Abstract

In Hierarchical Wireless Sensor Network (HWSN), the energy transmission of data packets belongs to the distance between source and destination, vulnerable to various malicious attacks. Thus clustering of HWSN reduces energy consumption, achieves scalability, and reduces network traffic. Therefore in this paper, a Multilevel Fuzzy Cluster Trust Estimation (MFCTE) logic model is used for clustering nodes and select trustworthy Cluster Head (CH) from clustered nodes. For this, the proposed method uses five attributes to become a trustbased CH. The following attributes given as input to fuzzy are Density of the other sensor nodes near to CH, Compaction of the surrounding nodes, Distance from the base station, Residual energy of the sensor nodes, and Packet integrity. MFCTE detects malicious nodes and ensures security in CH by automatically adjusting a load of direct trust, indirect trust, and parameters of update mechanism. The simulation results indicate that the proposed technique is energy efficient in terms of energy consumption, network lifetime for different network sizes, and better at defining malicious attacks.

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How to Cite
RAHUL DAS, & Mona Dwivedi. (2020). Multi-Level Fuzzy Cluster Based Trust Estimation for Hierarchical Wireless Sensor Networks. International Journal of Next-Generation Computing, 11(3), 263–280. https://doi.org/10.47164/ijngc.v11i3.183
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