Kovvali Raja Sravan Kumar, Sundaram Gopikrishnan
School of Computer Science and Engineering, VIT-AP University, Amaravati 522237, India.
Sensors (Basel). 2022 Aug 31;22(17):6584. doi: 10.3390/s22176584.
The large scale of the Internet of Things necessitates using long-lasting physical layer devices for data collection. Deploying large numbers of Wi-Fi-enabled devices is expensive, so the Internet of Everything (IoE) is equipped with multiple communication modules to collect data where Wi-Fi is unavailable. However, because of their extended communication capabilities, IoE devices face energy limitations. As a result, IoE devices must be provided with the necessary energy resources. This paper introduces a novel multi-hop cooperation communication mechanism for Wireless Energy Transfer (WET) in the Wireless Powered-Internet of Everything (WP-IoE). IoE devices are outfitted here with various communication devices such as RF, Bluetooth, and Wi-Fi. This research proposes a two-phase energy transmission schedule to address the energy requirements. For data collection, the first phase provides a distributed tree-based data communication plan. The proposed model's second phase used the reverse data collection protocol to implement wireless energy transmission. By combining these two phases, an optimized WET framework was created without unmanned aerial vehicles or robots. The experimental findings show that the proposed method in this research increases the average lifetime of the network and has a more significant charge latency and average charge throughput than other models.
物联网的大规模应用需要使用持久的物理层设备进行数据收集。部署大量支持Wi-Fi的设备成本高昂，因此万物互联（IoE）配备了多个通信模块，以便在Wi-Fi不可用的地方收集数据。然而，由于其扩展的通信能力，IoE设备面临能源限制。因此，必须为IoE设备提供必要的能源资源。本文介绍了一种用于无线供电万物互联（WP-IoE）中无线能量传输（WET）的新型多跳协作通信机制。这里的IoE设备配备了各种通信设备，如射频、蓝牙和Wi-Fi。本研究提出了一种两阶段能量传输调度方案，以满足能源需求。对于数据收集，第一阶段提供了基于分布式树的数据通信计划。所提出模型的第二阶段使用反向数据收集协议来实现无线能量传输。通过结合这两个阶段，创建了一个无需无人机或机器人的优化WET框架。实验结果表明，本研究中提出的方法提高了网络的平均寿命，并且与其他模型相比，具有更显著的充电延迟和平均充电吞吐量。
