Lyapunov-Guided Energy Scheduling and Computation Offloading for Solar-Powered WSN
نویسندگان
چکیده
To satisfy the continuously high energy consumption and computational capacity requirements for IoT applications, such as video monitoring, we integrate solar harvesting multi-access edge computing (MEC) technologies to develop a solar-powered MEC system. Considering stochastic nature of arrivals channel conditions, formulate optimization problem maximize network efficiency under constraints queue stability, task peak transmission power, maximum CPU frequency each sensor. solve long-term problem, propose Lyapunov-based online joint offloading resource scheduling algorithm, transforming into series deterministic subproblems in time slot. Simulation results show that proposed algorithm can find optimal solution tradeoff queueing backlog without requiring priori knowledge state arrival, which is more realistic practical systems.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2023
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app13084966