Multi-sensor IoT devices often rely on renewable energy and batteries to support diverse
field deployments. A device's sensors use significant energy, so careful energy management …

In the resource allocation problem (RAP), the goal is to divide a given amount of a resource
over a set of activities while minimizing the cost of this allocation and possibly satisfying …

We study the separable convex quadratic resource allocation problem with lower and upper
constraints on nested sums of variables. This problem occurs in many applications, in …

Multi-sensor IoT devices are used to monitor different environmental phenomena however
these devices depend on batteries and renewable energy sources for power. Therefore …

Distributed and iterative network utility maximization algorithms, such as the primal–dual
algorithms or the network-user decomposition algorithms, often involve trajectories where …

Discrete optimization is a branch of mathematical optimization where some of the decision
variables are restricted to real values in a discrete set. The use of discrete decision variables …

Distributed and iterative network utility maximization algorithms, such as the primal–dual
algorithms or the network-user decomposition algorithms, often involve trajectories where …