当前位置: X-MOL 学术Telecommun. Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Wireless energy transfer policies for cognitive radio based MAC in energy-constrained IoT networks
Telecommunication Systems ( IF 2.5 ) Pub Date : 2021-03-09 , DOI: 10.1007/s11235-021-00771-4
Show-Shiow Tzeng , Ying-Jen Lin

Efficient energy transfer is crucial for a green base station with limited energy to replenish the energy of stand-alone devices in the Internet of Things (IoT). Cognitive radio (CR) is critical to satisfying the spectrum requirement for IoT devices. This paper proposes two wireless charging policies, namely, charging in residual multi-frame time and charging one energy unit at a time, for the random access multiple access control on CR-based green-energy networks. The novelty of the policies is to send wireless energy at appropriate timing and duration. Event-driven simulations are conducted to study the performances of the policies. Simulation results show that the two policies significantly yield high energy efficiency, and maintain throughput and quality-of services. Besides, the policy of charging one energy unit at a time outperforms the policy of charging in residual multi-frame time.



中文翻译:

能源受限的物联网网络中基于认知无线电的MAC的无线能量传输策略

高效的能量传输对于能量有限的绿色基站补充物联网(IoT)中独立设备的能量至关重要。认知无线电(CR)对于满足IoT设备的频谱要求至关重要。本文提出了两种无线充电策略,分别是在剩余的多帧时间内充电一次为一个能量单元充电。,用于基于CR的绿色能源网络上的随机访问多路访问控制。该策略的新颖之处在于可以在适当的时间和持续时间发送无线能量。进行事件驱动的模拟来研究策略的性能。仿真结果表明,这两种策略显着提高了能源效率,并保持了吞吐量和服务质量。此外,一次充电一个能量单元的策略优于在剩余的多帧时间内充电的策略。

更新日期:2021-03-09
down
wechat
bug