Energy Efficient Task Allocation over Mobile Networks

In this paper we present an Energy-Aware Scheduling strategy that assigns computational tasks over a network of mobile devices optimizing the energy usage. The main design principle of our scheduler is to find a task allocation that prolongs network lifetime by balancing the energy load among the devices. We have evaluated the scheduler using a prototype of the system that includes smart phones and Android emulators. Experimental results show that significant energy savings can be achieved by using our energy-aware scheduler compared to classical time-based scheduler, while meeting the specified performance constraints.