Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …

To overcome the difficulties of charging the wireless sensors in the wild with conventional
energy supply, more and more researchers have focused on the sensor networks with …

Machine-to-machine communication with autonomous data acquisition and exchange plays
a key role in realizing the “control”-oriented tactile Internet applications such as industrial …

In recent times, fog computing becomes an emerging technology that can exhilarate the
cloud services towards the network edge for increasing the speeds up of various Internet-of …

In this paper, we present a new form of attack that can be carried out on the memory pools
(mempools) of blockchain-based cryptocurrencies. Towards that end, we study such an …

Edge computing is a promising technology that offers data analysis and computing for
Internet of Things (IoT) services at the network edge. It has the potential to significantly …

The key challenges in live video multicasting include how to properly form multicast groups,
select video versions and allocate wireless resources, in order to guarantee the quality of …

Federated learning (FL) is recognized as a promising privacy-preserving distributed
machine learning paradigm, given its potential to enable collaborative model training among …

This paper investigates a computation resource optimization problem of mobile edge
computing (MEC)-aided Internet-of-Things (IoT) devices with a reinforcement learning (RL) …

Following the roadmap of carbon neutrality, wireless communication systems are upgrading
to use green energy that comes from renewable sources, eg, sun, tide, and wind. Due to the …