… cost model to minimize energy consumption and task processing time for IoT scenarios in …
considers energy, time consumed during processing, the cost of data transmission, and energy …

… -cluster operation, namely, the number of time slots elapsed from the start of operation until
the … , namely, the number of time slots elapsed from the time when the first data are received …

… energy consumption for uniformly deployed data-gathering sensor networks. We formulate
the energy consumption … The network lifetime is defined as the time elapsed until 1 percent of …

… Two transition times and their energy costs must be considered in this model; the elapsed
time when switching from shut down to processing (ie, turning on) and the reverse (ie, turning …

… to make predictions of the energy consumption of different … -time, tactical and strategic
decision making processes that make it possible to exploit the potential for energy consumption …

… Then, we propose a shared recovery based frequency assignment technique (namely
SHR-DAG) and prove its optimality to minimize energy consumption while preserving the system …

… Learning-based methods have been proposed and applied for energy consumption
forecasting to overcome the issues [9]. There are two branches of learning-based methods, includ…

… the time elapsed since the last event, and repeat the update with the next element. This is
done until all “elapsed time” is … of minimizing overall energy consumption of a real-time system, …

… time or total energy consumption, suitable models could be selected. The proposed models
are useful to reduce the total energy consumption and cycle time in … of the total elapsed time; …

… cost model to minimize energy consumption and task processing 6 time for IoT scenarios in
… energy, time consumed during processing, the cost 8 of data transmission, and energy in idle …