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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Multi-Sensor Detection with Particle Swarm Optimization for Time-Frequency Coded Cooperative WSNs Based on MC-CDMA for Underground Coal Mines
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Multi-Sensor Detection with Particle Swarm Optimization for Time-Frequency Coded Cooperative WSNs Based on MC-CDMA for Underground Coal Mines

机译：基于MC-CDMA的时域编码协同WSNs的粒子群多传感器检测

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In this paper, a wireless sensor network (WSN) technology adapted to underground channel conditions is developed, which has important theoretical and practical value for safety monitoring in underground coal mines. According to the characteristics that the space, time and frequency resources of underground tunnel are open, it is proposed to constitute wireless sensor nodes based on multicarrier code division multiple access (MC-CDMA) to make full use of these resources. To improve the wireless transmission performance of source sensor nodes, it is also proposed to utilize cooperative sensors with good channel conditions from the sink node to assist source sensors with poor channel conditions. Moreover, the total power of the source sensor and its cooperative sensors is allocated on the basis of their channel conditions to increase the energy efficiency of the WSN. To solve the problem that multiple access interference (MAI) arises when multiple source sensors transmit monitoring information simultaneously, a kind of multi-sensor detection (MSD) algorithm with particle swarm optimization (PSO), namely D-PSO, is proposed for the time-frequency coded cooperative MC-CDMA WSN. Simulation results show that the average bit error rate (BER) performance of the proposed WSN in an underground coal mine is improved significantly by using wireless sensor nodes based on MC-CDMA, adopting time-frequency coded cooperative transmission and D-PSO algorithm with particle swarm optimization.
机译：本文研究了一种适用于地下通道条件的无线传感器网络技术，对地下煤矿安全监测具有重要的理论和实用价值。根据地下隧道空间，时间和频率资源开放的特点，提出了一种基于多载波码分多址（MC-CDMA）的无线传感器节点结构，以充分利用这些资源。为了提高源传感器节点的无线传输性能，还提出利用来自宿节点的具有良好信道条件的协作传感器来辅助具有较差信道条件的源传感器。此外，源传感器及其协作传感器的总功率根据它们的信道条件进行分配，以提高WSN的能效。为解决多源传感器同时传输监测信息时产生多址干扰的问题，提出了一种具有粒子群优化（PSO）的多传感器检测（MSD）算法，即D-PSO。编码协作MC-CDMA WSN。仿真结果表明，采用基于MC-CDMA的无线传感器节点，采用时频编码协同传输和带粒子的D-PSO算法，可以显着提高地下煤矿拟建无线传感器网络的平均误码率性能。群优化。

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