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基于能量协作的支持同时无线信息与能量传输的物联网网络能效优化

Energy Efficiency Optimization for SWIPT-Enabled IoT Network with Energy Cooperation.

作者信息

Cao Yang, Zhong Ye, Peng Chunling, Peng Xiaofeng, Pan Song

机构信息

Periodical Agency, Chongqing University of Technology, Chongqing 400054, China.

School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing 400054, China.

出版信息

Sensors (Basel). 2022 Jul 4;22(13):5035. doi: 10.3390/s22135035.

DOI:10.3390/s22135035
PMID:35808530
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9269765/
Abstract

As an advanced technology, simultaneous wireless information and power transfer (SWIPT), combined with the internet of things (IoT) devices, can effectively extend the online cycle of the terminal. To cope with the fluctuation of energy harvesting by the hybrid access points (H-AP), the energy cooperation base station is introduced to realize the sharing of renewable energy. In this paper, we study the SWIPT-enabled IoT networks with cooperation. Our goal is to maximize the energy efficiency of the system, and at the same time, we need to meet the energy harvesting constraints, user quality of service (QoS) constraints and transmission power constraints. We jointly solve the power allocation, time switching and energy cooperation problems. Because this problem is a nonlinear programming problem, it is difficult to solve directly, so we use the alternating variable method, the iterative algorithm is used to solve the power allocation and time switching problem, and the matching algorithm is used to solve the energy cooperation problem. Simulation results show that the proposed algorithm has obvious advantages in energy efficiency performance compared with the comparison algorithm. At the same time, it is also proved that the introduction of energy cooperation technology can effectively reduce system energy consumption and improve system energy efficiency.

摘要

作为一种先进技术,同时无线信息与能量传输(SWIPT)与物联网(IoT)设备相结合,可以有效延长终端的在线周期。为应对混合接入点(H-AP)能量收集的波动,引入能量协作基站以实现可再生能源的共享。在本文中,我们研究具有协作功能的支持SWIPT的物联网网络。我们的目标是最大化系统的能量效率,同时,我们需要满足能量收集约束、用户服务质量(QoS)约束和传输功率约束。我们联合解决功率分配、时间切换和能量协作问题。由于此问题是非线性规划问题,难以直接求解,因此我们使用交替变量法,采用迭代算法求解功率分配和时间切换问题,采用匹配算法求解能量协作问题。仿真结果表明,与对比算法相比,所提算法在能量效率性能方面具有明显优势。同时也证明了引入能量协作技术可以有效降低系统能耗,提高系统能量效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/b3b8fa61c22f/sensors-22-05035-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/85986b4f4bf9/sensors-22-05035-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/41da8ad520be/sensors-22-05035-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/4c277e55438c/sensors-22-05035-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/95b1fe9c154f/sensors-22-05035-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/9915fc289856/sensors-22-05035-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/b6600c20d7b2/sensors-22-05035-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/328187603a0a/sensors-22-05035-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/28331722d566/sensors-22-05035-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/b3b8fa61c22f/sensors-22-05035-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/85986b4f4bf9/sensors-22-05035-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/41da8ad520be/sensors-22-05035-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/4c277e55438c/sensors-22-05035-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/95b1fe9c154f/sensors-22-05035-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/9915fc289856/sensors-22-05035-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/b6600c20d7b2/sensors-22-05035-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/328187603a0a/sensors-22-05035-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/28331722d566/sensors-22-05035-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26dc/9269765/b3b8fa61c22f/sensors-22-05035-g009.jpg

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