A Wireless Sensor Network (WSN) consists of spatially distributed autonomous devices
using sensors to monitor physical or environmental conditions. A WSN system incorporates …

We present a self-organizing reinforcement learning (RL) approach for coordinating the
wake-up cycles of nodes in a wireless sensor network in a decentralized manner. To the …

Abstract The Internet of Things (IoT) is a recent trend where objects are augmented with
computing and communication capabilities, often via low-power wireless radios. The Internet …

Time synchronization is a key issue in wireless ad hoc networks. Due to the dynamic
characteristics of such networks, distributed synchronization (DS) is preferred for its …

The concept of pulse-coupled oscillators for self-organized synchronization has been
applied to wireless systems. Putting theory into practice, however, faces certain obstacles …

Large-scale networks of low-power, wireless devices integrated with sensors and actuators
have emerged as a new platform that promises to seamlessly integrate computational …

The basic concept behind a Wireless Sensor Network is to deploy a large number of sensor
nodes able to acquire and process data. Most of WSNs applications require sensor nodes to …

Time synchronization is essential for several ad-hoc network protocols and applications,
such as TDMA scheduling, dolo aggregation, caching, object tracking, and security …

Wake-up scheduling is a challenging problem in wireless sensor networks. It was recently
shown that a promising approach for solving this problem is to rely on reinforcement …

Networks of embedded wireless nodes provide a versatile platform for applications in
industrial control, surveillance and inventory tracking. Many of these applications are time …