Link Connectivity based Reliability with Security in Autonomous Mobile Network

Autonomous Mobile Network (AMN) contains mobile nodes which can predict the surrounding and forward the data to the receiver in undesirable conditions. AMN can observe, activate, calculate, and interconnect with others by applying point-to-point multi-hop transactions. Achieving such a fundamental agreement in a resource-constrained environment is a challenging problem since security methods always need additional energy and computational storage burdens. This paper proposes Link Connectivity based Reliability with Security (LCRS) in AMN to overcome this problem. This paper aims to detect abnormal nodes and improve link connectivity. The Link Connectivity Threshold (LCT) parameter estimates the link availability among the present sender and the subsequent forwarder node on the route to the destination. It selects the forwarder node by energy, link connectivity, and distance parameters. Furthermore, it isolates abnormal nodes using the lightweight Extended Kalman Filter (EKF) algorithm. This technique isolates the abnormal nodes and provides an effective route. The experimental outcomes demonstrate that the LCRS scheme diminishes the packet loss rate and delay. Furthermore, it raises the abnormal node detection ratio.