Different from many previous energy-efficient scheduling studies, this paper explores energy-efficient multiprocessor scheduling of periodic real-time tasks with different power consumption functions. When the goal is on the minimization of energy consumption, we propose a 1.412approximation algorithm in the derivation of a feasible schedule. A series of simulation experiments was done for the ...

The recent evolution of wireless sensor networks have yielded a demand to improve energy-efficient scheduling algorithms and energy-efficient medium access protocols. This paper proposes an energy-efficient real-time scheduling scheme that reduces power consumption and network errors on dual channel networks. The proposed scheme is based on a dynamic modulation scaling scheme which can scale th...

Energy efficiency is considered as a critical requirement for wireless sensor networks. As more wireless sensor nodes are equipped with multi-cores, there are emerging needs for energy-efficient real-time scheduling algorithms. The T-L plane-based scheme is known to be an optimal global scheduling technique for periodic real-time tasks on multi-cores. Unfortunately, there has been a scarcity of...