… Abstract—The amount of sensory data manifests an explosive growth due to the increasing
popularity of Wireless Sensor Networks (WSNs). The scale of sensory data in many …

… by big sensory data has high redundancy because of strong correlation among sensory
data… In this paper, we define the concept of ϵ-dominant dataset, which is only a small data set …

… points, in the sensor networks. In this paper, a novel sensory data acquisition algorithm is …
Such algorithm can adjust the sampling frequency of sensors adaptively according to the …

… [20] classified big data challenges in wireless sensor networks into clustering, securing,
processing, and energy saving. The proposed strategies of dealing with these challenges are …

… is to introduce the big data paradigm in wireless sensor networks, … in wireless sensor networks.
Also, this paper bases on the … Where: x_actual represents the sensory data of an existing …

… With multidimensional and multimodal sensory signals, large number and variety of features
… To ease the development of wireless sensor networks and BSN applications, a number of …

… foremost on sensory data from the real world. Sensory data come from multiple sensors of
different … Mesh nets can be good models for large-scale networks of wireless sensors that are …

… are often deployed to sense, process, and disseminate … , sensors are usually deployed in
large numbers and high density, thus resulting in a potentially huge amount of sensory data, …

… The traditional architectures of wireless sensor network (… big sensory data network consists
of K clusters, each cluster has N sensory nodes, and each sensory node has M original data …

… The result shows that our methodology can synthesize complete set of sensory data …
Getting the required sensory data only from the motes that have extreme values (largest, highest …