Open Access

ARTICLE

A Frame Work for Categorise the Innumerable Vulnerable Nodes in Mobile Adhoc Network

by Gundala Swathi

Vit University, Vellore, 632014, India

* Corresponding Author: Gundala Swathi,

Computer Systems Science and Engineering 2020, 35(5), 335-345. https://doi.org/10.32604/csse.2020.35.335

Abstract

Researches in wireless mobile ad hoc networks have an inherent challenge of vulnerable diagnosis due to the diverse behaviour pattern of the vulnerable nodes causing heterogeneous vtype1, vtype2, vtupe3 and vtype4 faults. This paper proposes a protocol for the diagnosis of vulnerability nodes with threephases of clustering, vulnerable detection and vulnerable fault classification in wireless networks. This protocol employs the technique of probabilistic neural network for classification of vulnerable nodes and detects vulnerable nodes through timeout mechanism and vtype3, vtype4, vtype1, vtype2 nodes through the method of analysis variance. Network simulator NS-2.3.35 is employed for performance evaluation of the protocol.

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Citations