An integrated fast data transmission scheme based on network coding

Abstract

Network coding has been investigated to improve the data transmission performance of wireless sensor networks (WSNs), and reduce data redundancy in data centers. In recent years, the amount of sensor data transmitted to data centers for analysis has increased dramatically, and traditional transmission schemes have encountered problems due to low transmission efficiency under conditions with massive data transmission. These problems are caused by the use of multiple codecs (including several coding and recoding codecs at the sensor nodes, one for decoding at the data gateway, one for coding for redundant storage and one for decoding to obtain original sensor data) and inefficient decoding processes. To solve these problems, we present an integrated fast data transmission scheme based on network coding. We consider the data transmission of WSNs and storage at data centers simultaneously so that codecs at data gateways can be avoided, and the encoded data can be stored directly in data centers. Furthermore, we design a gradient constraint flooding protocol based on network coding for data-intensive WSNs, and implement a fast, parallel decoding scheme for the data center. Our experimental results show that our scheme has the better performance in terms of rapid data delivery and decoding speed than traditional schemes.