Dynamic CH selection and Intrusion Detection in WSN using Reinforced Weighted Approximation based Adaptive SEECH: An Optimized Routing framework

We propose a highly scalable adaptive cluster-based hierarchical trust management protocol for wireless sensor networks (WSNs) to effectively deal with selfish or malicious nodes. Unlike prior work, we consider multidimensional trust attributes derived from communication and social networks to assess the overall trust of a sensor node. In this paper the Adaptive Scalable Energy Efficient Clustering Hierarchy (Adaptive SEECH) protocol is introduced for the optimized routing with intrusion detection. By means of Dynamic cluster head selection using Harmony Search based Genetic Algorithm (HS-GA), and then the Reinforced Weighted Approximation (RWA) optimization is utilized for our work to balance the trust level and the energy level of the sensor nodes. In this proposed work designing a basic network model with 50 sensor nodes and clustering the nodes by utilizing the algorithm namely Firefly with Nearest Neighbour Chain Clustering algorithm and validate the performance of our proposed routing protocol. The performance analysis and comparison of our proposed routing protocol with some existing routing protocols shows the significance of the proposed work.