Wireless Sensor Network Security with the Probability Based Neighbourhood Estimation
Keywords:Wireless Sensor Network, Probability, Neighbourhood value, threshold value
Wireless Sensor Network (WSN) is considered as the ad hic network environment in the resource-limited devices for the energy, storage, bandwidth, and computation. In WSN environment security is a significant contribution for more computation and power in the nodes. Sensor node comprises of the hostile environment for the remote management of network topology. The captured node exhibits the fundamental characteristics in the security of the WSN. The security constraints in the WSN derives significant attention towards the vast range of application for traffic monitoring in the network. Another challenge in the WSN is the mobility of the sensor nodes in which nodes are located far away between the nodes each other with the one-hop neighbors. In this paper proposed a Probability Neighbourhood Estimation (PNE) model for improved security in the WSN environment. The proposed PNE mode estimates the neighborhood estimation of the node. With the computation of the threshold value in the neighboring nodes, the probability features of the nodes are computed. The performance of the proposed PNE model is comparatively examined with the existing Pworm and RTT based approach. The analysis of the results expressed that the proposed PNE model achieves the effective performance for the throughput and PDF value of 0.99 which is a significantly higher value than the 0.91 and 0.98. The analysis expressed that the proposed model~6 – 7% than the existing models..
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Copyright (c) 2022 Nachaat Mohamed, K. Sampath Kumar, Sanskriti Sharma, R. Dinesh Kumar, Shiv Mehta, Isa Mishra
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