A Fuzzy Trust Assessment Technique Using Entropy-Based Weighting in Wireless Sensor Networks

Wireless Sensor Networks (WSNs, collections of small wireless devices that sense and relay data) are vulnerable to node failures and malicious attacks because they operate with limited resources in open environments. This paper proposes EFTE, a framework that evaluates the trustworthiness of individual nodes by measuring their communication quality, remaining battery power, behavior consistency, and movement patterns, then uses entropy-based weighting (a mathematical approach to handle uncertainty in data) and a fuzzy inference system (a method that makes decisions from incomplete or uncertain information) to identify and isolate untrustworthy nodes while protecting data with lightweight encryption.