Energy Optimized Task Mapping for Reliable and Real-Time Networked Systems

Energy efficiency, real-time response, and data transmission reliability are important objectives during networked systems design. This paper aims to develop an efficient task mapping scheme balance these but conflicting objectives. To achieve this goal, tasks triplicated enhance mapped on the wireless nodes of with Dynamic Voltage Frequency Scaling (DVFS) capabilities reduce energy consumption while still meeting constraints. Our contributions include mathematical formulation problem as mixed-integer programming that balances node consumption, enhancing reliability, under Compared State-of-the-Art (SoA) , a joint-design is considered in paper, where DVFS, triplication, allocation, scheduling optimized concurrently. find optimal solution, original linearized, decomposition-based method proposed. The optimality proposed proved rigorously. Furthermore, heuristic based greedy algorithm designed computation time. methods evaluated compared through series simulations. results show triplication-based average achieves 24.84% runtime reduction 28.62% saving SoA methods.