Performance comparison of different algorithms to secure the information for Wireless sensor Network

In WSNs “Wireless Sensor Network” and ad hoc networks, efficient and secure routing protocols are essential to ensure reliable communication and optimal resource utilization. Cluster-based routing is organizing the network into clusters, a designated cluster head manages each cluster, which improves scalability and reduces routing overhead. This approach is highly effective in balancing energy consumption and extending network lifetime, particularly in large-scale networks. Conversely, trust-based routing protocols establishing trust metrics for each node, which are used to make routing decisions in order to prioritize security. This method mitigates the risk of attacks by identifying and isolating malicious nodes, thereby ensuring the integrity and confidentiality of data transmission. The integration of blockchain technology with convolutional neural networks (CNNs) represents a promising frontier in decentralized artificial intelligence (AI). However, this fusion has led to considerable security within both the blockchain and AI communities. Through a detailed comparison of these methodologies, this paper highlights their respective advantages, limitations, and potential applications in term of security and energy. The findings suggest that while cluster-based routing is well-suited for energy-efficient networks with stable topologies, trust-based routing offers superior security features, making it ideal for environments with higher risks of node compromise, and the blockchain associated to the CNN ensure a high security.