船舶大数据平台基于上下文数据压缩的物联网路由算法研究

Research on routing algorithm of internet of things based on context data compression in large data platform for ships

近年来,以物联网技术为基础的船舶大数据平台逐渐成为航运业的发展趋势。和互联网相比,物联网传感器网络规模大,具有数据量大、传输速率高等特点。由于网络异构性,物联网存在数据采集不完整的情况。本文对上下文数据建模和数据压缩算法进行了研究,在此基础上,提出了物联网路由算法,提高了物联网数据的有效性。

In recent years, the large data platform based on the Internet of things technology has gradually become the development trend of the shipping industry. Compared with the Internet, the Internet of things sensor network is large in scale, characterized by large data and high transmission rate. Because of the heterogeneity of the network, there is incomplete data collection in the Internet of things. This paper studied the algorithms of context data modeling and data compression and proposed a routing algorithm for Internet of things.