AN ARTIFICIAL INTELLIGENCE BASED APPLICATION PORTFOLIO FOR TRUSTED ROUTE ANALYSIS IN FOG-IOT
The smart and connected devices with 6G competence extended the Internet of Things expectations enormously for providing versatile services but also witness some criticalities in the real time environments. Although, the real time routing solutions provide significant development for routing reliability but observes several hurdles of sensor nodes characteristics in smart applications scenario. The inclusion of Fog-Edge devices improving the states of routing as well as trust by enabling Computational Intelligent among applications. Such an Artificial Intelligence based application introduces a routing method using optimization for heterogeneous node portfolio with 6G networking configuration and then transmitted data securely using authenticated three-way handshake communication. The Proposed Protocol verify by AI modular approach and guaranteed an efficient way of secure routing using Fog Cloud computing model.
Autonomous System, 6G Network, Genetic Algorithm Optimization, Efficient Routing Protocol, Three Way Handshake