Low-energy technologies in the Internet of Things (IoTs) era are still unable to provide the
reliability needed by the industrial world, particularly in terms of the wireless operation that …

Mobile crowdsensing serves as a critical building block for emerging Internet of Things (IoT)
applications. However, the sensing devices continuously generate a large amount of data …

There is continuous intensive research on image compression techniques in wireless
sensor networks (WSNs) in the literature. Some of the image compression techniques in …

Modern wearable Internet of Things (IoT) devices enable the monitoring of vital parameters
such as heart or respiratory (RESP) rates, electrocardiography (ECG) …

In many applications, it is a basic operation for the sink to periodically collect reports from all
sensors. Since the data gathering process usually proceeds for many rounds, it is important …

This paper presents a data compression algorithm with error bound guarantee for wireless
sensor networks (WSNs) using compressing neural networks. The proposed algorithm …

Wearable Internet of Things (IoT) devices permit the massive collection of biosignals (eg,
heart-rate, oxygen level, respiration, blood pressure, photo-plethysmographic signal, etc.) at …

Lossy temporal compression is key for energy-constrained wireless sensor networks
(WSNs), where the imperfect reconstruction of the signal is often acceptable at the data …

Objective. Understanding the coordinated activity underlying brain computations requires
large-scale, simultaneous recordings from distributed neuronal structures at a cellular-level …

The exponential growth in remote sensing, coupled with advancements in integrated circuits
(IC) design and fabrication technology for communication, has prompted the progress of …