Distributed Anomaly Detection in Wireless Sensor Networks (WSNs): A Review

Authors: Amit Kumar

Country: India

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Abstract: This review paper presents a comprehensive analysis of distributed anomaly detection techniques in Wireless Sensor Networks (WSNs) aimed at mitigating communication overhead. Traditional centralized methods face challenges due to excessive data transmission to a central node. In contrast, distributed approaches leverage local clustering at sensor nodes, followed by the transmission of cluster summary statistics to parent nodes for merging. The merged clusters undergo anomaly analysis at the gateway node. This review synthesizes existing research, highlighting the efficacy of distributed methodologies in optimizing network efficiency while preserving anomaly detection accuracy. Additionally, it discusses experimental evidence from previous studies supporting the effectiveness of such approaches in reducing communication overhead in WSNs.

Keywords: Wireless Sensor Networks (WSNs), Anomaly Detection, Distributed Anomaly Detection

Paper Id: 230509

Published On: 2024-03-17

Published In: Volume 12, Issue 2, March-April 2024

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