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 …

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 …

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 …

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

Data stream compression attracts much attention recently due to the rise of IoT applications.
Thanks to the balanced computational power and energy consumption, asymmetric …

We consider the remote estimation of a stochastic piecewise linear signal, observed by a
sensor, at a monitor. The sensor transmits a packet whenever the observed signal's slope …

The intrinsic error resilience exhibited by emerging application domains enables new
avenues for energy optimization of computing systems, namely, the introduction of a small …

We study the problem of data gathering in wireless sensor networks and compare several
approaches belonging to different research fields; in particular, signal processing …