Evaluation of node's trust value is certainly advantage in mobile Adhoc networks (MANETs) where the applications run efficiently by involving trustable nodes only. The proposed method "A Novel QoS Trust computation in MANETs using Fuzzy Petri Nets-QTFPN", evaluates node trust value based on its quality of service (QoS) parameters. Here the MANET is represented as Dynamic Adaptive Fuzzy Petri Nets (DAFPN) model with concurrent reasoning algorithm (CRA). In which delivery of each packet from node to node requires evaluation of certainty factor (μ) using fuzzy expert system. This fuzzy inference system uses QoS parameters as fuzzy input variables namely energy, bandwidth, node mobility and reliability. In the routing process the intermediate node's trust values are evaluated based on certainty factor. The concurrent reasoning algorithm can strengthen the proposed method in selection of quality path to destination and reestablishment of path in case of path breaks. The proposed method performance is analyzed theoretically in terms of time and space complexities. The simulation results are taken against node velocity and network size, where the proposed method outperforms the existing protocols.
Sirisala et al. proposed a method to evaluate the trust value of a node based on its quality of service (QoS) parameters REF where fuzzy rules were inferred based on network conditions.
A Novel QoS Trust Computation in MANETs Using Fuzzy Petri Nets
International Journal of Intelligent Engineering and Systems
Computer Science