The major concern of WSN based application is life time of sensor nodes. Clustering is one of the energy efficient techniques for improving life time of WSN and mainly reduces communication overhead between nodes. Selecting an efficient CH plays imperative role in extending the lifetime of WSN. The trust concept plays an important role in WSN and it’s generally used for detecting malicious, selfish and faulty nodes in a network which increase communication overhead and energy consumption. To conquer these issues, trust based cluster head selection and routing method is proposed. A trust level is computed for each node based on communication, energy and neighbor nodes. This paper proposes an efficient method for cluster head selection and secures routing using two evolutionary algorithms. Cat Swarm Optimization (CSO) is used to select the cluster heads and Firefly algorithm is used for secure routing.Extensive simulations are conducted on various circumstances. The simulation results shows that the proposed trust based CSO finds the optimal cluster head and firefly algorithm discovers the optimal paths which improves the network lifetime and reduces end-to-end delay compared to other techniques.
Volume 12 | Issue 2