Fuzzy Expert System-Based Node Trust Estimation in Wireless Sensor Networks

Abstract

Wireless sensor networks are used in most recent real-time systems globally. In WSN, many researchers feel they are arriving at the destination in all aspects of security and trust. Because trust is the significant factor to implement a secure network by transmitting a packet in a trusted way. Most of the models evaluate the present trust value of the nodes and do not predict the upcoming changes in the trust factor of the nodes. This paper provides a new trust estimation model to evaluate the trust value of the node with a fuzzy expert system that predicts the changes that may be going to occur in the future based on the inference mechanism. This proposed work also concentrates on energy efficiency to optimize the node energy level even though the nodes are undergone trustworthy data transmission. Further, the results obtained from the experiments show that the proposed model outperforms the existing in both parameters as trust and energy efficiency.