… To ease the development of wireless sensor networks and BSN applications, a number of
Operating Systems (OS) have been proposed, such as TinyOS [125], Contiki [126] and BSN …

… As the focus of this article is big data in WSNs, an extensive classification of the big data
challenges in WSNs is presented and shown in Fig. 1. The classification is based on four axes, …

… term big data for embedded, sensor networks in this paper shall embrace wireless, embedded
sensor networks with data volumes (on individual node-level as well as on network level) …

… challenge exists in gathering real-time big data in a complex indoor industrial environment.
Indoor wireless sensor networks (… limitation by collecting the big data generated from source …

… Big data and artificial intelligence develop rapidly. Big data analysis has been applied in
many fields of smart healthcare. Once these data are leaked or modified during transmission, it …

… applications in wireless sensor networks (WSNs) is the continuous data collection, such as
monitoring the variety of ambient temperature and humidity. Due to the sensor nodes with a …

… power stations is a challenging problem that needs to be investigated deeply. In this paper,
Wireless sensor networks (WSNs) are utilized to efficiently deliver the monitoring data of the …

… But the gathering of real-time data again poses a challenge. A solution to this problem is
provided by wireless sensor networks (WSNs) [9]–[11]. WSN is the backbone of big data, and it …

… , the convergent research of WSNs, big data, the IoT, and cloud … on big-sensing-data curation
and preparation issues with … To offer solutions for the new challenges brought by big data, …

… In this paper, we designed a LS-WSN as a tool for collecting big data generated by … networks.
In this paper, we are interested in the use of network types for the collection of big data in …