Nowadays, wireless sensor networks (WSNs) are based on techniques more and more
oriented towards image, video and sound processing, hence the recent need of wireless …

Wireless sensor networks (WSNs) have emerged as a promising technology in healthcare,
enabling continuous patient monitoring and early disease detection. This study introduces …

To reduce the data redundancy and energy consumption caused by the explosive growth of
data in wireless sensor networks, this paper presents a node data image based mean …

Big data and online media conglomerates have significant power over the behavior of
individuals. Online platforms have become the largest canvas for advertising, and the most …

Most existing distributed estimation and control algorithms for mobile sensor networks rely
on the information of both position and velocity of neighbour sensors. The authors' …

Energy efficiency is one of the most distinguished area on which several research groups
and organizations across the globe are progressively working. This paper focuses on …

Sensors play a vital role in the growth of big data as they are being used in numerous data-
intensive applications. This paper introduces a multilayer big data aggregation framework …

A great challenge faced by wireless sensor networks (WSNs) is to reduce energy
consumption of sensor nodes. Fortunately, the data gathering via random sensing can save …

The explosion of data available on the internet is very increasing in recent years. One of the
most challenging issues is how to effectively manage such a large amount of data and …

In wireless sensor networks, sensed information is expected to be reliably and timely
delivered to a sink in an ad-hoc way. However, it is challenging to achieve this goal because …