As battery technology has not advanced as quickly as other technologies like semiconductor technology, energy efficiency is still one of the primary concerns in Wireless Sensor Networks (WSNs). One of the finest Wireless Energy Transfer (WET) technique is Magnetic Resonant Coupling (MRC) used to re-energize the nodes in WSNs. Recent advancements in MRC show that more than one node can be re-charged at the same time. This paper aims to exploit multiple nodes WET to overcome the issues pertaining to energy in Wireless Sensor Network (WSN). For transferring energy to various static sensor nodes deployed in a network, Unmanned Aerial Vehicle (UAV) is considered which travels inside a network and performs a process of re-charging. Further, WSNs being most acceptable face issues like: battery constraint, and congestion. Therefore, in order to address such issues, we have proposed MRCRLB (Magnetic Resonant Coupling Based Recharging and Load Balancing) scheme. Then, finally the proposed model is tested on various modulation schemes at the physical layer of WSNs to find out most appropriate modulation scheme type for lifetime extension model (MRCRLB).

由于电池技术的发展速度不如半导体技术等其他技术，因此能源效率仍然是无线传感器网络 (WSN) 的主要关注点之一。最好的无线能量传输 (WET) 技术之一是用于为 WSN 中的节点重新供电的磁共振耦合 (MRC)。MRC 的最新进展表明，可以同时为多个节点充电。本文旨在利用多节点 WET 来克服与无线传感器网络 (WSN) 中的能量有关的问题。为了将能量传输到部署在网络中的各种静态传感器节点，无人机（UAV）被认为是在网络内部行驶并执行充电过程。此外，最可接受的 WSN 面临诸如电池限制和拥塞等问题。所以，为了解决这些问题，我们提出了MRCRLB（基于磁共振耦合的充电和负载平衡）方案。然后，最后在 WSN 物理层的各种调制方案上测试所提出的模型，以找出最适合寿命延长模型 (MRCRLB) 的调制方案类型。