This document discusses using linear approximation techniques to solve a nonlinear optimization problem for renewable sensor networks with wireless energy transfer. It presents a case study where the objective is to maximize the vacation time of a wireless charging vehicle over each cycle time by determining its optimal traveling path, charging schedule at each sensor node, and multi-hop data routing. The nonlinear problem is approximated using piecewise linear functions and solved to provide a near-optimal solution within a specified performance gap. Numerical results demonstrate the approach for a 50-node and 100-node network.
Powering mobile network with green energyAbu Yohannan
This document discusses optimizing mobile networks through the use of green energy sources. It begins with an introduction to the growth of energy consumption and carbon footprints in mobile networks. It then discusses green energy sources like wind, solar, and hydropower. The document outlines different models for powering mobile networks through green energy, including off-grid and on-grid configurations. It proposes optimizing resource management and scheduling to maximize the utilization of variable green energy supplies. The goal is to reduce reliance on power grids and lower the carbon footprint of mobile networks.
This document discusses using linear approximation techniques to solve a nonlinear optimization problem for renewable sensor networks with wireless energy transfer. It presents a case study where the objective is to maximize the vacation time of a wireless charging vehicle over each cycle time by determining its optimal traveling path, charging schedule at each sensor node, and multi-hop data routing. The nonlinear problem is approximated using piecewise linear functions and solved to provide a near-optimal solution within a specified performance gap. Numerical results demonstrate the approach for a 50-node and 100-node network.
Powering mobile network with green energyAbu Yohannan
This document discusses optimizing mobile networks through the use of green energy sources. It begins with an introduction to the growth of energy consumption and carbon footprints in mobile networks. It then discusses green energy sources like wind, solar, and hydropower. The document outlines different models for powering mobile networks through green energy, including off-grid and on-grid configurations. It proposes optimizing resource management and scheduling to maximize the utilization of variable green energy supplies. The goal is to reduce reliance on power grids and lower the carbon footprint of mobile networks.