This article investigates the ultra-reliable communication for industrial wireless sensor networks (IWSNs), where frequency diversity, path diversity and cooperative diversity are jointly investigated. We propose a novel IWSN equipped with the full-duplex (FD) relays and carrier aggregation (CA) technique, to improve the reliability of all sensors. We derive a closed-form expression for the reliability characterization based on signal-to-interference-plus-noise (SINR) model for sensors connecting to sink node either via FD relays or direct communications. We formulate a joint resource allocation problem for reliability maximization, considering sub-carrier assignment, relay selection and power control. We propose to apply the distributed decision making (DDM) framework to decouple the problem into two sub-problems and find the joint optimal solution in an iterative manner. We further propose an improved artificial bee colony algorithm to obtain the optimal results for each sub-problem. Our simulation results showcase the reliability increases with increasing the number of FD-relays and sub-carriers. We also show that the FD and CA techniques along with our proposed algorithm can be an effective way for improving the reliability of IWSNs.

本文研究了工业无线传感器网络（IWSN）的超可靠通信，其中联合研究了频率分集，路径分集和协作分集。我们提出一种配备全双工（FD）中继和载波聚合（CA）技术的新型IWSN，以提高所有传感器的可靠性。我们基于信号到干扰加噪声（SINR）模型，通过FD继电器或直接通信连接到接收器节点的传感器，得出了用于可靠性表征的闭式表达式。考虑子载波分配，中继选择和功率控制，我们制定了一个联合资源分配问题以实现可靠性最大化。我们建议应用分布式决策制定（DDM）框架将问题分解为两个子问题，并以迭代方式找到联合最优解。我们进一步提出了一种改进的人工蜂群算法，以获得每个子问题的最佳结果。我们的仿真结果表明，随着FD继电器和子载波数量的增加，可靠性也随之提高。我们还表明，FD和CA技术以及我们提出的算法可以成为提高IWSN可靠性的有效途径。