Trust management is an important aspect to enhance pattern and increase the secured packet transmission in Wireless Sensor Networks (WSNs). The kernel of the trust management is estimation of trust. If a trust prediction model is not enough to withstand against the malicious nodes from the network it affects performance as well as energy consumption of the entire system. This research study presents a novel node trust estimation model which is very active and robust in contact with malicious nodes. Furthermore, this research combines fuzzy expert system based inference mechanism with trust to achieve the secured data transmission which optimizes the energy of the WSNs. Extensive simulations have been conducted in this research and evaluation of results proves that this model is better than the other existing trust models. © Medwell Journals, 2016.