无线传感器网络中利用改进型SDN-WISE协议的大数据处理方法

针对无线传感器网络（WSN）中数据量大、处理成本高的问题，提出了一种基于软件定义网络（SDN）和多播数据流路由算法的大数据方法，在WSN中实现大数据技术并计算其通信成本。首先，将MapReduce接口动态加载到WSN的适合节点中。然后，通过在控制器和传感器节点上改进SDN-WISE协议，在网络内实现map和reduce功能。最后，采用多播路由算法找到网络中MapReduce的最优部署方案，以确保部署方案的通信成本最小。通过操作系统Contiki集成上述功能和组件，在WSN中实现提出的方法并计算相应成本。在不同限制条件下的WSN中实现大数据处理实验，实验结果表明，该方法具有较好的经济性。

Big data processing method using improved SDN-WISE in WSN

Aiming at the problem of large amount of data and high processing cost in WSN. This paper proposed a large data technology based on SDN and multicast data stream routing technology. The method implemented the large data technology in WSN and calculated its communication cost. Firstly, it loaded the MapReduce interface dynamically into the appropriate nodes of the WSN. Secondly, it implemented map and reduced functions in the network by embedding the enhanced SDN-WISE protocol in the controller and sensor nodes. Then, it evaluated the optimal deployment scheme of MapReduce by the multicast routing technology in the network. Next, it integrated the above functions and components through the operating system Contiki, implemented large data technology in WSN and calculated the corresponding cost. Finally, this paper verified the proposed method by implementing large data processing in WSN under different constraints and calculating communication cost. The results show that the proposed method is economical.