Treffer: Identification of Abnormal Node and Efficient Routing Using Optimal Fuzzy Model in Underwater Sensor Network.

The USNs can be broadly applied to the joint civilian and military requirements, but encounter significant security challenges due to their dynamic and challenging operating conditions. The idea of trust-related devices must be a strong opportunity to increase network security and resilience. The paper will design an optimal routing protocol to be used in USNs, which will include a fuzzy logic-based model to detect anomalous nodes. These are the main objectives that should be used to find the abnormal nodes correctly and the best way to route them. A variable-weight fuzzy complete computation method with active weights of tierce trust indicators is used to increase the direct trust computation reliability. In the case of indirect trust assessment, fuzzy proximity is employed to sieve unreliable suggestions, and recommendation confidence weights are reconfigured in accordance with the deviation to improve accuracy. To make the routing safe and efficient, it is possible to use the Modified Election Optimization Algorithm (MEOA). This suggested method is implemented in NS2 and tested with the help of traditional presentation metrics, which proves better presentation than the traditional methods. [ABSTRACT FROM AUTHOR]