A Fuzzy and Trust based Routing in Wireless Sensor Networks
Mobile ad hoc networks is a prominent research topic and wireless sensor networks are one of the category of these types of networks. Sensor networks are challenged due to their ad hoc nature, they are prone to security attacks and their reliance on battery power. To meet these challenges, clustering is a traditional technique aiding to improve network lifetime by preserving the node’s energies. The clustering schemes used show a few downsides which confine their use for functional systems. In the first place, cluster heads are ordinarily chosen from all sensor nodes present in the system, and therefore, unequal groups might be produced and secondly, manual definition of controllable parameters. Another area of concern is protection of network from security attacks which can be from insider nodes or outsiders. Therefore, the concept of trust is proposed along with the adaptive neuro fuzzy logic for a secure and energy efficient network. Trust is used to provide security from hostilesensors in the network andneuro fuzzy logic for selecting a competent head for a cluster based routing. Adaptive neuro fuzzy logic rules are fired according to node’s energy, trust values and transmission distance to choose cluster head.