School of Electrical Engineering and Information, Northeast Petroleum University, Daqing 163318, China.
Communication Research Center, Harbin Institute of Technology, Harbin 150080, China.
Sensors (Basel). 2020 Mar 31;20(7):1960. doi: 10.3390/s20071960.
With the continuous progress of science and technology, intelligent wireless sensor network (IWSN) communication has become indispensable in its role in production and life because of its convenient network settings and flexible use. However, with the widespread availability of intelligent wireless sensor networks, the use of many wireless sensor nodes constitutes a multi-node wireless communication system, which turns the accuracy and low complexity of multi-node detection in sensor networks into a problem. Although the traditional algorithm has excellent performance, it cannot give consideration to both accuracy and complexity. Therefore, a maximum logarithm message passing algorithm based on serial and threshold (S-T-Max-log-MPA) for multi-mode detection in IWSN is proposed in this paper. In this algorithm, the threshold is used to determine the necessary conditions of sensor node stability first, and then the sensor node information updating is integrated into the resource node information updating, so that the system can maintain good accuracy, performance, and change the situation of poor system accuracy at low threshold. Compared with the traditional algorithm, the proposed algorithm significantly changes the algorithm complexity reduction rate of the system multi-node detection. Simulation results show that the algorithm has a good balance between accuracy and complexity reduction rate.
随着科学技术的不断进步，智能无线传感器网络（IWSN）通信因其网络设置方便、使用灵活，在生产和生活中已经不可或缺。然而，随着智能无线传感器网络的广泛应用，许多无线传感器节点的使用构成了多节点无线通信系统，这使得传感器网络中多节点检测的准确性和低复杂性成为一个问题。虽然传统算法具有优异的性能，但不能兼顾准确性和复杂性。因此，本文提出了一种基于串行和门限的最大对数消息传递算法（S-T-Max-log-MPA），用于 IWSN 中的多模式检测。在该算法中，首先使用门限来确定传感器节点稳定的必要条件，然后将传感器节点信息更新集成到资源节点信息更新中，从而使系统能够保持良好的准确性、性能，并改变低门限时系统准确性较差的情况。与传统算法相比，所提出的算法显著改变了系统多节点检测的算法复杂度降低率。仿真结果表明，该算法在准确性和复杂度降低率之间取得了良好的平衡。
