Shih Kuei-Ping, Tsai Yu-Sheng, Chen Yen-Da, Wang San-Yuan
Department of Computer Science and Information Engineering, Tamkang University, New Taipei City 251301, Taiwan.
Department of Computer Information and Network Engineering, Lunghwa University of Science and Technology, Taoyuan 333326, Taiwan.
Sensors (Basel). 2024 Aug 27;24(17):5535. doi: 10.3390/s24175535.
The article addresses the energy consumption minimization problem in wireless powered communication networks (WPCNs) and proposes a time allocation scheme, named DaTA, which is based on the Different Target Simultaneous Wireless Information and Power Transfer (DT-SWIPT) scheme such that the wireless station can share the remaining energy after transmission to the Hybrid Access Point (HAP) to those who have not transmitted to the HAP to minimize the energy consumption of the WPCN. In addition to proposing a new frame structure, the article also considers the Signal-to-Noise (SNR) constraint to guarantee that the HAP can successfully receive data from wireless stations. In the article, the problem of minimization of energy consumption is formulated as a nonlinear programming model. We employ the SQP (Sequential Quadratic Programming) algorithm to figure out the optimal solution. Moreover, a heuristic method is proposed as well to obtain a near-optimal solution in a shorter time. The simulation results showed that the proposed scheme outperforms the related work in terms of energy consumption and energy efficiency.
本文探讨了无线供电通信网络（WPCN）中的能耗最小化问题，并提出了一种名为DaTA的时间分配方案，该方案基于不同目标同时无线信息与功率传输（DT-SWIPT）方案，使无线站能够将传输给混合接入点（HAP）后剩余的能量共享给那些尚未向HAP传输的无线站，以最小化WPCN的能耗。除了提出一种新的帧结构外，本文还考虑了信噪比（SNR）约束，以确保HAP能够成功接收来自无线站的数据。在本文中，能耗最小化问题被表述为一个非线性规划模型。我们采用序列二次规划（SQP）算法来求解最优解。此外，还提出了一种启发式方法，以便在更短的时间内获得近似最优解。仿真结果表明，所提方案在能耗和能源效率方面优于相关工作。
