TY  - JOUR
T1  - Fuzzy Based Node Trust Estimation in Wireless Sensor Networks
AU - Selvakumar, K. AU - Ramesh, L. Sai AU - Kannan, A. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 5
SP  - 951
EP  - 954
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.951.954
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.951.954
KW  - Trust model
KW  -WsNs
KW  -malicious node
KW  -fuzzy expert systems
KW  -fuzzification and fuzzy rules
AB  - 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.
ER  -