感知大数据获取与计算的研究进展

s the information carries, the sensory data sampled by each sensor nodes are essential components for wireless sensor networks (WSNs) and internet of things (IoTs), and almost of all applications of them are dependent on these sensory data. Therefore, the problems of sensory data acquisition, transmission and computation become fundamental research problems for WSNs and IoTs. However, with the widespread applications of WSNs and IoTs, the scale of sensory data manifests an explosive growth. In many applications, the size of sensed data has already exceeded several petabytes annually, which indicates the era of Big Sensed Data. Unlike traditional sensory data, the Big Sensory Data have many new features and bring many challenges for data acquisition, transmission and computation. In our paper, we aim to analyze the new features and challenges for Big Sensory Data, summary the related works, forecast a series of interesting research problems, and make contributions for promoting the deep researches on Big Sensory Data in the future.