AN SCALABLE ESTIMATING STRENGTH OF JAMMING DISTRIBUTION CLUSTER FORMAT FOR WIRELESS SENSOR NETWORKS

Author (s) : Dr.C.Viji, C.Prabhadevi

---

Abstract :
Wireless sensor networks (WSNs) are a type of network that is composed of a large number of sensor nodes that are deployed in an area to collect data. The data is then transmitted to a base station or sink node.Clustering is a technique that is used to organize the sensor nodes in a WSN into a connected hierarchy. This can help to improve the efficiency of the network and extend the lifetime of the sensor nodes.However, clustering can be vulnerable to attacks, such as packet dropping and modification. These attacks can disrupt the communication between the sensor nodes and the sink node.This paper proposes a new method for clustering in WSNs that is designed to be more robust to these attacks. The method uses a technique called node categorization to identify bad nodes in the network. The bad nodes are then ranked based on the probability of being bad and are deleted.The performance of the proposed method has been evaluated using simulations. The results show that the method can effectively identify and delete bad nodes, which can help to improve the security and efficiency of WSNs

Keywords : wireless sensor networks, clustering, node categorization, bad nodes, packet dropping, modification, security, efficiency

Conference Date : 13/11/2020

Pages : 172

Paper ID : 20172