: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Energy-efficiency and power-awareness for electronic systems have been important design issues in hardware and software implementations. We consider the scheduling of periodic ha...
A simulation-based optimization framework involving simultaneous perturbation stochastic approximation (SPSA) is presented as a means for optimally specifying parameters of intern...
Due to the application-specific nature of wireless sensor networks, application-aware algorithm and protocol design paradigms are highly required in order to optimize the overall ...
This paper deals with energy-aware real-time system scheduling using dynamic voltage scaling (DVS) for energy-constrained embedded systems that execute variable and unpredictable ...