Abstract
Energy is considered as valuable resource for loT network, because the devices used for loT applications are low power-battery operated nodes. In some applications the devices are placed in remote area, when battery of the device would drain out its power, it is difficult to replace the battery. Radio Frequency (RF) energy transfer and harvesting techniques have recently become alternative methods to overcome the barriers that prevent the real world wireless device deployment. Meanwhile, for cellular networks, the base stations (BSs) account for more than 50 percent of the energy consumption of the networks. Therefore, reducing the power consumption of BSs is crucial to energy efficient wireless networks. It can also subsequently reduce the carbon footprints. In this chapter, we focus our attention on the energy-aware IoT control algorithms. For the next-generation IoT systems, they will be key techniques.
TopThe Radio Frequency Based Energy Transfer (Rfet) Scheme
The Radio Frequency based Energy Transfer (RFET) scheme is developed as a novel energy harvesting scheme for the Cognitive Radio (CR) network system. Using the sequential game model, data transmission and energy harvesting in each device are dynamically scheduled. The RFET scheme can capture the wireless channel state while considering multiple device interactions. In a distributed manner, individual devices adaptively adjust their decisions based on the current system information while maximizing their payoffs. When data collision occurs, the sequential bargaining process in the RFET scheme can coordinates this problem to optimize social fairness.