FuzOptRoute: a fuzzy logic-integrated optimization-based energy-efficient cluster routing framework with edge computing for mobile communication networks

FuzOptRoute: a fuzzy logic-integrated optimization-based energy-efficient cluster routing framework with edge computing for mobile communication networks

연구 분야: Infrastructure

학회: The Journal of Supercomputing

Energy-efficient and reliable routing remains a fundamental challenge in mobile communication networks, particularly due to the dynamic topology, limited energy resources, the increasing integration of high-performance computing (HPC) for real-time analytics, and the rising demand for scalable and adaptive data transmission. This study proposes FuzOptRoute, a novel Fuzzy Logic-Integrated Optimization-Based Cluster Routing Framework that aims to enhance the energy efficiency and communication reliability of mobile communication networks. The proposed framework integrates Fuzzy C-Means (FCM) clustering to intelligently partition network nodes based on multiple parameters such as residual energy, node mobility, and proximity to the base station. FCM enables the formation of dynamic and flexible clusters that adapt to changing network conditions, ensuring balanced energy consumption across the network. To optimize the selection of Cluster Heads (CHs) within the fuzzy-generated clusters, the study introduces the Golden Jackal Optimization (GJO) algorithm—a nature-inspired metaheuristic that balances exploration and exploitation through adaptive population updating and elite solution preservation mechanisms. GJO is employed to identify optimal CHs by maximizing residual energy, minimizing intra-cluster distances, and reducing communication overhead. The framework also incorporates edge and distributed computing to enable localized processing, enhance scalability, and reduce communication latency by delegating computation across multiple nodes. The hybrid integration of FCM and GJO enables the proposed FuzOptRoute framework to maintain efficient cluster formation and routing decisions in real time, thereby prolonging network lifetime and improving data delivery reliability. Simulation results demonstrate that FuzOptRoute significantly outperforms existing clustering-based routing protocols in terms of energy consumption, network lifetime, packet delivery ratio, and latency, particularly under highly dynamic mobility scenarios.