Community networks (CNs) have seen an increase in the last fifteen years. Their members contact nodes which operate Internet proxies, web servers, user file storage and video streaming services, to name a few. Detecting ...

The expression “crowdsourced computer networks” refers to a network infrastructure built by citizens and organisations who pool their resources and coordinate their efforts to make these networks happen. “Community networks” ...

LoRa is a popular communication technology in the Internet of Things (IoT) domain, providing low-power and long-range communications. Most LoRa IoT applications use the LoRaWAN architecture, which builds a star topology ...

Las aplicaciones colaborativas voluntarias necesitan implementar mecanismos de incentivos para regular la compartición de los recursos y fomentar la contribución de los nodos de la red. Por lo general, estos mecanismos de ...

Federated learning has become a popular collaborative machine learning approach in which clients use their local data for training. This results in bandwidth savings since the training data does not have to be transferred ...

Resource allocation is one of the challenges for self-management of large scale distributed applications running in a dynamic and heterogeneous environment. Considering Application Layer Networks (ALN) as a general term ...

Community networks are crowd-sourced IP networks that evolved into regional-scale computing platforms. This has led to adapting the cloud computing model for services that can operate and use computing resources inside a ...

Civilians in areas hit by earthquakes become in particular concerned about the safety of family and friends. However, outages in communications networks following these events limit their capacity to get information. So, ...

Environmental monitoring is a growing application of the Internet of Things. The low cost of the sensor nodes, LoRa connectivity, and increased awareness of environmental issues have motivated many citizens to participate ...

A alternative way of representing time variations of the speech spectra is presented. We propose to model the trajectories of the poles of the LPC analysis spectra using exponential functions as alternative to delta ...