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An MIT-led team introduces a new computational method that facilitates the dense placement of objects inside a rigid container.

This paper considers task scheduling in solarpowered Internet of things (IoT) networks where devices are capable of sharing energy wirelessly. Our aim is to minimize the completion time of all tasks. We outline a novel mixed integer linear program (MILP) to schedule tasks and determine whether devices share their harvested energy via radio frequency (RF) in each time slot. The MILP considers the coupling between the energy level at devices across time slots. It also considers the dependency of t...

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