This letter considers the problem of embedding the maximum number of Virtual Network Requests (VNRs) in an Internet of Things (IoT) network with Power Beacons (PBs). It presents a Mixed Integer Linear Program (MILP) and a heuristic to determine the transmit power allocation of PBs, mappings of virtual nodes and edges onto devices and links, and a link schedule to provision bandwidth to support traffic on virtual edges. Our results show the proposed heuristic attains 90.31% of MILP’s performance.
/PRNewswire/ The "SCADA Market by Component, Deployment Mode, End User - Global Forecast to 2028" report has been added to ResearchAndMarkets.com s offering..
Devices in Internet of Things (IoT) networks are required to execute tasks such as sensing, computation and communication. These devices, however, have energy limitation, which in turn bounds the number of tasks they can execute and their tasks execution time. To this end, this paper considers energy delivery, tasks assignment and execution in a Radio Frequency (RF) IoT network with a Hybrid Access Point (HAP) and RF-powered devices. We outline a novel Mixed-Integer Linear Program (MILP) to assign tasks to devices, and also to optimize the HAP’s charging duration. We also propose a heuristic algorithm called Energy Saving Task Assignment (ESTA), and two Model Predictive Control (MPC) approaches called MPC-MILP and MPC-ESTA; both of which use channel estimates over a given window or time horizon. Our results show that MPC-MILP and MPC-ESTA respectively consume up to 74.27% and 63.71% less energy as compared to competing approaches. Moreover, MPC-MILP with a small window has better per