References
- Zhu J , Zhao H , Xu JQ , et al . Research on a novel fuzzy theory based localization model in WSNs. Acta Electron Sin. 2010;38(8):1845–1851.
- Jin S , Cui W , Jin Z , et al . AF-DHNN: fuzzy clustering and inference-based node fault diagnosis method for fire detection. Sensors. 2015;15(7):17366–17396.
- Goutele S , Singh AK , Gurjar D , et al . Performance analysis of fuzzy logic-based geographical node-disjoint path routing for WSNs. Int J Electron. 2014;101(4):435–440.10.1080/21681724.2014.880749
- Babu SS , Raha A , Naskar MK , et al . Fuzzy logic election of node for routing in WSNs. IEEE International Conference on Trust, Security and Privacy in Computing and Communications. IEEE. 2012;1279–1284.
- Javanmardi S , Shojafar M , Shariatmadari S , et al . FRTRUST: a fuzzy reputation based model for trust management in semantic P2P grids. Int J Grid Util Comput. 2014;6(1):57–66.
- Sabit H , Al-Anbuky A , Gholam-Hosseini H . Distributed WSN data stream mining based on fuzzy clustering. Ubiquitous, autonomic and trusted computing. UIC-ATC ‘09. Symposia and Workshops on IEEE. 2009;2009:395–400.
- Gharajeh MS . Determining the state of the sensor nodes based on fuzzy theory in WSNs. Int J Comput Commun Control. 2014;9(4):419–429.10.15837/ijccc.2014.4
- Mei JH , Zhang XD , Zhang H , et al . A fuzzy logical based WSN node self-locating means. Appl Mech Mater. 2014;556–562:5587–5590.10.4028/www.scientific.net/AMM.556-562
- Kulkarni AR , Pallavi A . Assigning nodes to clusters in WSN based on fuzzy inputs of RSS, BE & BA. IEEE International Conference on Electrical, Electronics, Signals, Communication and Optimization; 2015; 1–4.
- Babu SS , Raha A , Naskar MK . Trust evaluation based on node’s characteristics and neighbouring nodes’ recommendations for WSN. Wirel Sens Network. 2014;6(8):157–172.10.4236/wsn.2014.68016
- Xia H , Jia Z , Sha HM . Research of trust model based on fuzzy theory in mobile ad hoc networks. IET Inf Secur. 2013;8(2):88–103.
- Lee JK , Cho TH . Selecting next hop nodes for energy efficiency in dynamic filtering based WSNs using fuzzy system. International Conference on Information Science and Digital Content Technology; 2012; 674–677.
- Alialjuboori F , Ismail SF . Security threats of collusion-based linguistic fuzzy trust model for WSN. Int J Comput Appl. 2013;67(12):10–18.10.5120/11446-7041
- Indhumathi TC , Sivakumar P . Comparison and performance analysis of clustering protocol using sleep & wakeup technique in WSN. International Conference on Advanced Communication, Control and Computing Technologies; 2014; 667–672.