基于边缘分析的无线多维数据融合技术

Research on Multi-Dimensional Data Fusion Technology of Wireless Networks Based on Edge Analytics

由于无线设备的能量有限,如何提高网络节点能效是物联网应用中亟待解决的问题.在多维数据传输场景下,首先利用边缘计算的优势,设计了活跃节点选取策略,并满足任务需求的前提下让剩余节点休眠,减少活跃节点的数量,从而降低网络的整体能耗.其次,利用重叠数据设计了待传输数据包数量的优化方案,减少传输能耗.仿真结果表明,上述算法可以有效降低能耗并延长网络生命周期.

Due to the limited energy of wireless devices,how to improve the energy efficiency of network nodes is an urgent problem to be solved in the application of the internet of things(IoT).As far as the multi-dimensional data transmission scenario is concerned,on one hand,an active node selection strategy is designed by taking full advantage of edge computing to hibernate the remaining nodes and reduce the number of active nodes under the premise of meeting task requirements,thereby reducing the overall energy consumption of the network.On the other hand,an optimization scheme for the number of packets to be transmitted is designed by using overlapping data to reduce transmission energy consumption.Generally speaking,simulation results show that the proposed algorithm can effectively reduce energy consumption and extend the network life cycle.