Data compression about Internet of Things based on HNBJSON

Abstract

Aiming at the problem of time delay caused by big data in the, Internet of Things(IoT), a data compression method based on Huffman-Naive Bayesian JSON (HNBJSON) is proposed. The real-time JSON data in the cloud with the Naive Bayesian principal are classified and the compressed dictionary is generated according to Huffman coding principle. To conduct data compression, the compression dictionary is updated based on the compression rate and synchronized to the edge device. In a college, the HNBJSON compression method is applied in the power monitoring in three scenarios. Experimental results show that each data transmission time can be reduced to 0.98ms with the method, and the compression rate can reach 76.9%. Obviously, the method can realized the adaptive lossless compression of communication data on the edge side. The method has a high application value.