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首页> 外文期刊>IEEE sensors journal >SWIPT Enabled Intelligent Transportation Systems With Advanced Sensing Fusion
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SWIPT Enabled Intelligent Transportation Systems With Advanced Sensing Fusion

机译：SWIPT支持具有先进传感融合的智能交通系统

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摘要

Internet of Things (IoT) is the connections of embedded sensing technologies that can be integrated with intelligent transportation systems (ITS), which can take advantage of the advanced sensing fusion to implement the intelligent interaction. Moreover, the environmental wireless signals was harvested and utilized to power the charging sensors, which can be used to assist and enhance the ITS and have attracted extensive attentions in industries. The simultaneous wireless information and power transfer (SWIPT) enabled ITS was designed and proposed with the advanced sensing fusion, where the sensor nodes of the source and destination were all equipped with multiple antennas and the maximum ratio transmission (MRT) precoding and maximum ratio combination (MRC) were adopted respectively in the proposed system, where the sensing nodes can be embedded into the data addressing equipment to fusion the sensing information. For the established massive sensing node transmission system, the transmission power, the number of source antennas and destination antennas were considered to fuse and optimize to obtain the maximum energy efficiency (EE) of the ITS. Since the original fusion problem was non-convex and difficult to solve, which can be transformed to convex problem via the large SNR approximation method and thereby the optimal solution of the sensing fusion problem was derived through the Lagrange algorithm and the Lambert function W. The simulation results showed that the proposed fusion algorithm can achieve remarkable EE compared with other algorithms and be utilized to the massive sensors to improve the intelligent predication and transportation for vehicle network.
机译：事物互联网（IOT）是嵌入式传感技术的连接，可以与智能交通系统（其）集成，可以利用先进的传感融合来实现智能交互。此外，收获环境无线信号并用于为充电传感器供电，可用于协助和增强其并吸引在行业的广泛关注。通过先进的感测融合设计并提出了同时无线信息和电力传输（SWIPT），其中源和目的地的传感器节点全部配备多个天线和最大比率传输（MRT）预编码和最大比率组合（MRC）分别在所提出的系统中采用，其中感测节点可以嵌入到数据寻址设备中以融合感测信息。对于已建立的大规模感测节点传输系统，传输功率，源天线和目的地天线的数量被认为是保险丝和优化以获得其最大能量效率（EE）。由于原始融合问题是非凸的并且难以解决，这可以通过大的SNR近似方法转换为凸面问题，从而通过拉格朗日算法和Lambert函数W导出感测融合问题的最佳解决方案。该仿真结果表明，与其他算法相比，所提出的融合算法可以实现显着的EE，并用于大规模传感器，以改善车辆网络的智能预测和运输。

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