|
|
|
|
|
Xiaonan Wang, Yang Guo and Yuan Gao
Non-terrestrial network (NTN) is a trending topic in the field of communication, as it shows promise for scenarios in which terrestrial infrastructure is unavailable. Unmanned autonomous intelligent systems (UAISs), as a physical form of artificial intel...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yu Dai, Jiaming Fu, Zhen Gao and Lei Yang
Due to CPU and memory limitations, mobile IoT devices face challenges in handling delay-sensitive and computationally intensive tasks. Mobile edge computing addresses this issue by offloading tasks to the wireless network edge, reducing latency and energ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Albérico Travassos Rosário and Joana Carmo Dias
This study explores the transformative impact of IoT technologies on smart tourism, striving to boost operational efficiency and enrich the traveler experience. Using a systematic literature review with bibliometric analysis, we examined a sample of 83 s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Varsha S. Lalapura, Veerender Reddy Bhimavarapu, J. Amudha and Hariram Selvamurugan Satheesh
The Recurrent Neural Networks (RNNs) are an essential class of supervised learning algorithms. Complex tasks like speech recognition, machine translation, sentiment classification, weather prediction, etc., are now performed by well-trained RNNs. Local o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ivonne Nuñez, Elia Esther Cano, Edmanuel Cruz and Carlos Rovetto
In recent years, the integration of new elements to the electric grid, such as electric vehicles and renewable energies, requires the evolution of the electric grid as we know it, making it necessary to optimize the processes of production, distribution,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Prachi V. Wadatkar, Rosario G. Garroppo and Gianfranco Nencioni
Fifth-generation (5G) mobile networks fulfill the demands of critical applications, such as Ultra-Reliable Low-Latency Communication (URLLC), particularly in the automotive industry. Vehicular communication requires low latency and high computational cap...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ali Pashazadeh, Giovanni Nardini and Giovanni Stea
In recent years, the need for computation-intensive applications in mobile networks requiring more storage, powerful processors, and real-time responses has risen substantially. Vehicular networks play an important role in this ecosystem, as they must su...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weihong Cai and Fengxi Duan
With the development of computationally intensive applications, the demand for edge cloud computing systems has increased, creating significant challenges for edge cloud computing networks. In this paper, we consider a simple three-tier computational mod...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vasilios Patsias, Petros Amanatidis, Dimitris Karampatzakis, Thomas Lagkas, Kalliopi Michalakopoulou and Alexandros Nikitas
Task allocation in edge computing refers to the process of distributing tasks among the various nodes in an edge computing network. The main challenges in task allocation include determining the optimal location for each task based on the requirements su...
ver más
|
|
|
|
|
|
|
|
|
|
|
Claudia Canali, Caterina Gazzotti, Riccardo Lancellotti and Felice Schena
In the last few years, fog computing has been recognized as a promising approach to support modern IoT applications based on microservices. The main characteristic of this application involve the presence of geographically distributed sensors or mobile e...
ver más
|
|
|
|
|
|