Energy-Aware Minimum Delay Broadcast Scheduling for SIC-Enabled Wireless-Powered IoT

Wireless powered Internet of Things (WPIoT) has gained great concern due to its benefits of high deployment flexibility and low maintenance overhead. The minimum delay broadcast scheduling problem is very critical for many applications of WPIoT. However, traditional broadcast scheduling algorithms assume that Internet of Things (IoT) devices always possess sufficient energy to support data transmission or reception, which does not hold in WPIoT with the special feature of using the store-charge-and-forward communication mode. Furthermore, existing solutions rely heavily on the interference-avoiding technology to handle the signal interference problem, and overlook the powerful interference processing capability of the successive interference cancellation (SIC) technology. To efficiently resolve this problem, this article proposes a delay-efficient energy-aware broadcast scheduling algorithm called EABS. EABS algorithm incorporates a novel broadcast link scheduling method by fully considering the special feature of WPIoT and efficiently utilizing the advantage of the SIC technology to significantly improve the broadcast delay. Extensive experiments based on a real-world dataset are conducted to evaluate the performance of our algorithm, and the results demonstrate the better performance of our algorithm than the baseline algorithms.