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首页> 外文期刊>IEEE transactions on industrial informatics >Energy Efficiency Optimization in SWIPT Enabled WSNs for Smart Agriculture
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Energy Efficiency Optimization in SWIPT Enabled WSNs for Smart Agriculture

机译：SWIPT中的能效优化使WSN为智能农业

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摘要

Smart agriculture is able to optimize the information resources of agriculture, which can improve the quality and productivity of agricultural products. Wireless sensor networks (WSNs) provide smart agriculture with effective solutions for collecting, transmitting, and processing of information. However, the large number of sensor networks consume too much energy that violates the principle of green communication. Simultaneous wireless information and power transfer (SWIPT) technology utilizes radio-frequency signals to transmit information and provide energy to WSNs, which can extend the lifetime of WSNs effectively. In this article, an architecture design of smart agriculture is first proposed by exploiting the SWIPT. Then, an energy efficiency optimization scheme is studied to achieve green communication, in which the subcarriers' pairing and power allocation are jointly optimized. The process of communication is divided into two phases. Specifically, in the first phase, source sensor sends information to relay sensor and destination sensor. Relay sensor utilizes a part of the subcarriers to receive the information, and utilizes the remaining subcarriers to collect energy. Destination sensor uses all the subcarriers to receive the information. In the second phase, relay sensor utilizes the energy collected in the first phase to forward the information to destination sensor. An effective iterative optimization algorithm is proposed to resolve the proposed optimization problem through Lagrangian dual function. Simulation results validate that the performance of the algorithm can improve energy efficiency of the system effectively.
机译：智能农业能够优化农业信息资源，可以提高农产品的质量和生产力。无线传感器网络（WSNS）为智能农业提供有效的收集，传输和处理信息的解决方案。然而，大量传感器网络消耗了太多的能量，违反了绿色通信原理。同时无线信息和电力传输（SWIPT）技术利用射频信号来传输信息并为WSN提供能量，这可以有效地延长WSN的寿命。在本文中，首先通过利用SWIPT提出智能农业的建筑设计。然后，研究了能量效率优化方案来实现绿色通信，其中子载波的配对和功率分配是联合优化的。通信过程分为两个阶段。具体地，在第一阶段中，源传感器将信息发送到中继传感器和目的地传感器。继电器传感器利用子载波的一部分来接收信息，并利用剩余的子载波来收集能量。目标传感器使用所有子载波来接收信息。在第二阶段中，继电器传感器利用在第一阶段中收集的能量将信息转发到目的地传感器。提出了一种有效的迭代优化算法来解决通过拉格朗日双函数的所提出的优化问题。仿真结果验证了算法的性能有效提高系统的能效。

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