To evaluate the timeliness and freshness of information from energy-constrained devices,
we minimize the weighted average age of information (AoI) of the ambient backscatter …

With the rapid integration of Intelligent Computing and Internet of Things technology (IoT), Iot
sensor network devices are expected not only gather signal but also handle data computing …

Due to the propagation characteristics in the 2.5 GHz band, the signal is significantly
degraded by building entry loss (BEL), making coverage in indoor environments in some …

Solid biofuels and Internet of Things (IoT) technologies play a vital role in the development
of smart cities. Solid biofuels are a renewable and sustainable source of energy obtained …

Due to their flexible deployment and movement capability, unmanned aerial vehicles (UAVs)
are being utilized as flying mobile edge computing (MEC) platforms, offering real-time …

Group recommender systems aim to provide recommendations to a group of users as a
whole rather than to individual users. Nonetheless, prevailing methodologies predominantly …

This paper introduces a model-free optimization method based on reinforcement learning
(RL) aimed at resolving the issues of active power and frequency oscillations present in a …

In the Internet of Things, sensor nodes collect environmental information and utilize lossy
compression for saving storage space. To achieve this objective, high-efficiency …

In 5G scenarios, the dynamic resource allocation of network slicing is crucial for quality-of-
service (QoS) guaranteed under fluctuating traffic demands in rapidly changing …

The number of users in wireless networks, such as mobile and Internet-of-Things networks,
is witnessing a tremendous increase, turning the available frequency spectrum into a scarce …