MICROCHAETUS RAPPI-INSPIRED SECURE AND REGENERATIVE ROUTING PROTOCOL (MR-SRRP) FOR ADAPTIVE AND ENERGY-EFFICIENT CLOUD COMMUNICATION NETWORKS

Cloud communication networks require routing mechanisms that sustain security, adaptability, and energy efficiency under rapidly changing virtual workloads and dense topologies. Conventional routing approaches experience route instability, excessive energy usage, and delayed recovery in large-scale cloud environments. This study presents the Microchaetus Rappi-Inspired Secure and Regenerative Routing Protocol (MR-SRRP), a biologically driven framework that models regenerative behavior and energy-conserving movement patterns of Microchaetus rappi within an AODV-based routing structure. The goal of this work is to design a self-healing and secure routing protocol capable of restoring disrupted paths, balancing energy consumption, and maintaining low-latency communication. The underlying hypothesis assumes that embedding biological regeneration and adaptive intelligence into cloud routing decisions enhances route stability, packet reliability, energy utilization, and cryptographic diffusion strength. The protocol integrates encrypted tunneling, trust-driven authentication, regenerative key scheduling, and dynamic route rejuvenation across twelve coordinated phases. Simulation evaluation demonstrates improved delay, packet delivery, throughput, and energy conservation, with an avalanche diffusion strength of 86.14%, validating the protocol’s effectiveness for adaptive and secure cloud communication environments.