PROJECT TITLE :

Multi-Node Wireless Energy Charging in Sensor Networks

ABSTRACT:

Wireless energy transfer based mostly on magnetic resonant coupling is a promising technology to replenish energy to a wireless sensor network (WSN). However, charging sensor nodes one by one poses a serious scalability downside. Recent advances in magnetic resonant coupling show that multiple nodes can be charged at the same time. In this paper, we exploit this multi-node wireless energy transfer technology and investigate whether it is a scalable technology to address energy issues during a WSN. We tend to think about a wireless charging vehicle (WCV) periodically traveling inside a WSN and charging sensor nodes wirelessly. Based mostly on charging vary of the WCV, we propose a cellular structure that partitions the 2-dimensional plane into adjacent hexagonal cells. We pursue a formal optimization framework by jointly optimizing traveling path, flow routing, and charging time. By employing discretization and a unique Reformulation-Linearization Technique (RLT), we tend to develop a provably near-optimal solution for any desired level of accuracy. Through numerical results, we demonstrate that our answer can indeed address the charging scalability downside in a very WSN.