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"Joint Data Upload and Targets Coverage in Solar-Powered IIoT Networks" by Ying Liu, Kwan Wu Chin et al.

In this article, we study an industrial Internet of Things (IIoT) network with a sink/gateway that is capable of decoding multiple transmissions via successive interference cancellation (SIC), and energy harvesting devices tasked with providing complete targets coverage of targets. In particular, we study a novel question: how to schedule the sensing and transmission of these devices to ensure complete target coverage over time? We outline a mixed integer linear program (MILP) and two heuristic solutions that jointly optimize the active time and transmit power of devices. Our simulation results show that the complete targets coverage lifetime of our heuristic solutions is within 80% of the optimal complete targets coverage lifetime, as computed by MILP. ....

Energy Harvesting , Nterference Cancellation , Mathematical Programming , Signal To Noise Ratio , Uccessive Interference Cancellation Sic , Argets Coverage ,

"Targets Coverage and Data Computation in Energy Harvesting IoT Network" by University of Wollongong

To date, a wide range of industries leverage the Internet of Things (IoT) to improve efficiency and productivity. Briefly, an IoT network consists of wireless sensor devices that are used to monitor an environment, provide coverage, or collect data of targets. The collected data can then be processed before it is uploaded to a sink/gateway or the cloud to be used by various applications. The full potential of IoT, however, is limited by a number of issues. First, most IoT networks are designed for a specific application. This motivates the use of virtualization technologies, where the same network substrate runs multiple applications concurrently. In particular, devices or network operators virtualize resources such as energy, memory, and/or computational time/cycles, which in turn allows these resources to be shared by virtual network functions (VNFs) belonging to different applications.
The second issue concerns energy. Specifically, the limited amount of energy on sensor devices ....

Wireless Communications , Energy Harvesting , Argets Coverage , Network Virtualization , Data Computations , Mathematical Optimization ,