ENHANCING THE NETWORK PERFORMANCE AND PREDICTION OF PROBABLE DEAD NODES USING HYBRID DEC TECHNIQUE

The Network Lifetime of a Wireless Sensor Network is regarded as the Length of Time for Which the Network Is Perfectly Functioning. An Imperative Aspect Which Impacts the Network from Functioning Correctly is the Number of Dead Nodes. It is challenging to predict the Potential Dead Nodes, Which Will Lead to an Impending Network Collapse. Attributed to the Type of the Network, Protocols and Applications, the Networks May Perhaps be Dissimilar. Besides, for Ensuring a Perfectly Functional Network, it is Significant to Ascertain the Nodes that are going to die after a Certain Amount of Time. This Research Aims to Devise a System that Collectively Utilizes Kohonen Self-Organizing Map (KSOM) Techniques, Probability Distribution Function (PDF) Along with Artificial Neural Networks (ANN) for Determining the Classification of Nodes And Enhance the Network Performance. The PDF is deployed for the Detection of Half Dead Nodes. The Simulation of the Proposed Research Method is evaluated in MATLAB tool. The Simulation Results Show the Efficacy of the Proposed Method.