Formulates energy-aware scheduling for battery-less IoT as a long-term average-reward MDP with i.i.d. energy arrivals and derives an optimal stationary threshold-based scheduler that improves full-chain completion and reduces power failures.
Energy-sustainable I oT connec- tivity: Vision, technological enablers, challenges, and f uture directions
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MDP-based Energy-aware Task Scheduling for Battery-less IoT
Formulates energy-aware scheduling for battery-less IoT as a long-term average-reward MDP with i.i.d. energy arrivals and derives an optimal stationary threshold-based scheduler that improves full-chain completion and reduces power failures.