Every year, the amount of data created by Internet of Things (IoT) devices increases; therefore, data processing is carried out by edge devices in close proximity. To ensure …
Y Yao, LJ Zhu, W Shi - 2023 IEEE/ACM Symposium on Edge …, 2023 - ieeexplore.ieee.org
This paper focuses on addressing computational constraints and energy limitations prevalent in edge-based applications through an innovative approach, dynamic in-situ …
S Zhang, N Yi, Y Ma - arXiv preprint arXiv:2401.01017, 2023 - arxiv.org
Computation task offloading is one of the enabling technologies for computation-intensive applications and edge intelligence, which experiences the explosive growth of massive data …
K Zhu, Z Zhang, F Sun - Wireless Networks, 2023 - Springer
Advances in big data and Internet of Things devices have brought novel service modes, such as smart cities and intelligent transportation, to daily life. With the widespread …
GS Pannu, S Ucar, T Higuchi, O Altintas… - 2023 IEEE Vehicular …, 2023 - ieeexplore.ieee.org
Multi-access edge computing (MEC) has been identified as a powerful concept for offloading computational tasks and for storing popular data in close proximity of end users; avoiding …
Mobile edge computing enhances cloud computing capability to users at the edge of wireless networks, for future networks in particular. Network architecture defined by ETSI …
Unmanned aerial vehicles (UAVs) attract increasing attention for various wireless network applications by using UAVs' reliable line-of-sight (LoS) paths in air-ground connections and …
Evolution in ubiquitous and wireless services has enabled the massive adoption of autonomous cyber-physical systems for improving the workflows in dynamic environments …
Machine learning is becoming an increasingly integral component of mobile applications. However, the execution of compute-heavy neural models (eg, for computer vision tasks) on …