基于集群滤波器的机会中继协作电磁兼容控制复杂度优化算法

Cooperative Electromagnetic Compatibility Control Complexity Optimization Algorithm Based on Cluster Filter for Mobile Crowd Sensing

移动群智网移动中继机会通信过程中的协作电磁兼容控制的高复杂度和额外资源消耗问题,是影响其通信性能和数据传输效率的关键问题。为此,提出了一种基于集群滤波器的复杂度优化算法。首先,针对移动感知终端、感知群、数据服务群和数据通信群组成的移动群智感知网,建立了移动群智网机会中继电磁兼容复杂度分析模型并验证了该模型的可行性;然后组建了IIR、FIR等多类型滤波器集群,并加入了改进的协作电磁兼容控制算法,用于优化基于集群滤波器协作电磁兼容控制的复杂度。实验结果表明:所提算法不仅可以优化协作电磁兼容机会移动中继的复杂度,而且可以降低功耗和CPU占用率等,其资源消耗低,能显著提高通信的有效性和可靠性。

The high complexity and extra resource consumption of cooperative electromagnetic compatibility in mobile communication process in the mobile network are key problems that affect the communication performance and data transmission efficiency. The proposed algorithm is based on the mobile network, which is composed of mobile sensing terminal, perceived group, data service group and data communication group. At first, The model was built up. Then, the IIR,FIR and other multi type filter clusters were formed. The experimental results show that the proposed algorithm can not only optimize the power consumption of the mobile relay and CPU occupancy rate, but also can significantly im- prove the reliability of communication.