Intra Cluster Communication of the Nodes with Artificial Intelligence Scheme for WSN Transportation System

Intra-cluster communication of nodes in a wireless sensor network (WSN) is essential in order to enable routing of data within a network. However, the presence of neighboring clusters, environments with dynamic topologies, and communication latency due to low data rates and signal quality, lead to difficulty in setting up efficient intra-cluster communication. In this paper, we propose a dynamic intrusion detection and communication security mechanism based on a combination of artificial intelligence and distributed detection strategies. The Artificial Intelligence (AI) based model facilitates the detection of malicious packets or nodes attempting to steal data from within the cluster. The AI model also provides a framework for trust management measures to ensure correct authentication of packets and nodes. The distributed detection strategy ensures that all nodes are authenticated by the same set of secure credentials and protocols, thus providing multiple layers of security. This helps to improve the intra-cluster communication of a WSN, while ensuring efficient resource management and avoiding malicious attacks. The results of the simulations demonstrate the effectiveness of the proposed mechanism in terms of achieved security, communication latency and resource utilization.