Original scientific paper

https://doi.org/10.17559/TV-20230508000613

Deployment with Location Knowledge by Multi Area Approach for Detecting Replica Nodes in Wireless Sensor Network

Suma Sira Jacob ; Department of Information Technology, Sri Krishna College of Technology, Coimbatore *
Balasubramaiam Karthikeyan ; Department of Information Technology, Panimalar Engineering College, Chennai
Thiraviasami Johnpeter ; Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Trichy
Rengaswamy Jayamala ; Department of Computer Science and Engineering, University College of Engineering (BIT Campus), Anna University Tiruchirappalli

* Corresponding author.

Abstract

The Wireless Sensor Network (WSN) is important for the safety of network security. Numerous scholars have documented fundamentally fundamental attacks of various kinds in the WSN up to now. Replica nodes are identified using a range of replica node identification techniques. Although the replica is certain as a witness node, these approaches have poor detection precision and incur overhead control. This paper looks at the Multi Area Method (MAA) Replica Identification with Deployment with Location Knowledge (DLK) used. Initially, the nodes are clustered together and routed via the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol. Several forms of node duplication identification protocols have now been proposed. Moreover, a single failure point located in clustered protocols, dispersed replications, is never identified by local protocols. Geographical positions are identified by the distributed protocols needed for the nodes. Deployment information utilising the position cluster detection method is suggested to avoid a node replica strike. Based on the deployment performance, the suggested model is compared to Area Based Cluster move towards (ABCD) and Fingerprint-based detection techniques. The proposed methodology offers excellent performance compared with other standard methods. Moreover, the energy consumption for RN detection was only 34 kWh.The proposed work provides optimal results for existing attacking strategies in cases of high detection higher detection percentage with a minimized Delay and increased communication overhead.

Keywords

clustering; knowledge discovery technique networking; replica detection; wireless sensor networks (WSN)

Hrčak ID:

312909

URI

https://hrcak.srce.hr/312909

Publication date:

31.12.2023.

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