Energy Efficiency Optimization for SWIPT-Enabled IoT Network with Energy Cooperation
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 coope...
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Format: | Article |
Language: | English |
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MDPI
2022
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Online Access: | View Fulltext in Publisher |
LEADER | 02835nam a2200469Ia 4500 | ||
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001 | 10.3390-s22135035 | ||
008 | 220718s2022 CNT 000 0 und d | ||
020 | |a 14248220 (ISSN) | ||
245 | 1 | 0 | |a Energy Efficiency Optimization for SWIPT-Enabled IoT Network with Energy Cooperation |
260 | 0 | |b MDPI |c 2022 | |
856 | |z View Fulltext in Publisher |u https://doi.org/10.3390/s22135035 | ||
520 | 3 | |a 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. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. | |
650 | 0 | 4 | |a Access points |
650 | 0 | 4 | |a Advanced technology |
650 | 0 | 4 | |a energy cooperation |
650 | 0 | 4 | |a Energy cooperation |
650 | 0 | 4 | |a energy efficiency |
650 | 0 | 4 | |a Energy efficiency |
650 | 0 | 4 | |a Energy efficiency optimizations |
650 | 0 | 4 | |a Energy harvesting |
650 | 0 | 4 | |a Energy transfer |
650 | 0 | 4 | |a Energy utilization |
650 | 0 | 4 | |a Hybrid-access |
650 | 0 | 4 | |a Information and power transfers |
650 | 0 | 4 | |a Internet of things |
650 | 0 | 4 | |a IoT |
650 | 0 | 4 | |a Iterative methods |
650 | 0 | 4 | |a Nonlinear programming |
650 | 0 | 4 | |a power allocation |
650 | 0 | 4 | |a Power allocations |
650 | 0 | 4 | |a Quality of service |
650 | 0 | 4 | |a Renewable energies |
650 | 0 | 4 | |a Simultaneous wireless information and power transfer |
650 | 0 | 4 | |a SWIPT |
650 | 0 | 4 | |a time switching |
650 | 0 | 4 | |a Time switching |
700 | 1 | |a Cao, Y. |e author | |
700 | 1 | |a Pan, S. |e author | |
700 | 1 | |a Peng, C. |e author | |
700 | 1 | |a Peng, X. |e author | |
700 | 1 | |a Zhong, Y. |e author | |
773 | |t Sensors |