LITERATURE SURVEY ON SELF-HEALING IOT MESH NETWORKS USING FEDERATED ANOMAL DETECTION

Abstract

Escalating of Internet of Things (IOT) devices in smart cities, industrial automation, and healthcare systems has created an urgent demand for self-sustaining network architectures. The Internet of Things (IOT) reinvigorated the world with tremendous capabilities and potential to be utilized in vehicular networks. The field of IOT encompasses electronics, communication the field has evolved due to the convergence of multiple technologies, including ubiquitous computing, sensors, embedded systems, and machine learning. Existing IOT mesh networks rely on recovery mechanisms. Several concerns exist regarding the risks associated with the growth and diffusion of IOT technologies and products, particularly in the areas of privacy and security. Single point of failure and privacy risks through the transmission of raw sensor data to central servers.

This paper proposes the Federated Self-Healing Mesh (FSHM) protocol- it is an advanced decentralized for high reliability. It presents Leash-FL, a lightweight Self-Healing framework that combines certificate less elliptic curve cryptography with block chain to enhance resilience in resource-constrained IOT environments. Federated aggregation periodically synthesizes a global behavioral model while full preserving device-level privacy.

Anomaly detection finds application in many domains including cyber security, node failure or signal degradation-the secure ad hoc on-demand distance vector (AVOD) that has been suggested algorithm to reroutes traffic without requiring centralized coordination. According to simulation experiment conducted using NS3 (Network Simulator 3) on a 100 node mesh topology, FSHM provides significant performance advantages over traditional centralized network management. Simulation conducted in NS3 showed a 43% reduction in network recovery time and a 38% improvement in packet delivery ration compared to centralized approaches. The algorithm function without centralized coordination, making it ideal for distributed networks. This result validates the workability of FSHM ij resource IOT environments for next generation connected sustainable systems.