D. S. Mahajan

Framework Evaluation for Energy-Efficient Resource Allocation in Industrial IoT Using Hybrid Swarm Optimization: Comparative Analysis by Integrating Sand Cat Swarm Optimization and Moth Flame Optimization with SVM-Based Path Quality Assessment

A novel hybrid swarm intelligence framework for energy-efficient resource allocation in Industrial IoT networks that integrates two biologically inspired metaheuristic algorithms: Sand Cat Swarm Optimization (SCSO) and Moth Flame Optimization (MFO), which employs logarithmic spiral movement toward optimal flame positions to execute precise local refinement.