A survey on mobile edge computing for video streaming: Opportunities and challenges

MA Khan, E Baccour, Z Chkirbene, A Erbad… - IEEE …, 2022 - ieeexplore.ieee.org
5G communication brings substantial improvements in the quality of service provided to
various applications by achieving higher throughput and lower latency. However, interactive …

Unmanned aerial vehicles for air pollution monitoring: A survey

NH Motlagh, P Kortoçi, X Su, L Lovén… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) equipped with air quality sensors offer a powerful solution
for increasing the spatial and temporal resolution of air quality data, searching and detecting …

Applications, databases and open computer vision research from drone videos and images: a survey

Y Akbari, N Almaadeed, S Al-Maadeed… - Artificial Intelligence …, 2021 - Springer
Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an
emerging application attracting significant attention from researchers in various areas of …

Drones as internet of video things front-end sensors: challenges and opportunities

CW Chen - Discover Internet of Things, 2021 - Springer
Abstract Internet of Video Things (IoVT) has become an emerging class of IoT systems that
are equipped with visual sensors at the front end. Most of such visual sensors are fixed one …

Flexdnn: Input-adaptive on-device deep learning for efficient mobile vision

B Fang, X Zeng, F Zhang, H Xu… - 2020 IEEE/ACM …, 2020 - ieeexplore.ieee.org
Mobile vision systems powered by the recent advancement in Deep Neural Networks
(DNNs) are enabling a wide range of on-device video analytics applications. Considering …

Deepbrain: Experimental evaluation of cloud-based computation offloading and edge computing in the internet-of-drones for deep learning applications

A Koubâa, A Ammar, M Alahdab, A Kanhouch, AT Azar - Sensors, 2020 - mdpi.com
Unmanned Aerial Vehicles (UAVs) have been very effective in collecting aerial images data
for various Internet-of-Things (IoT)/smart cities applications such as search and rescue …

Multi-sensor surveillance system based on integrated video analytics

M Purohit, M Singh, S Yadav, AK Singh… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Image-based sensing is a powerful source of information for a wide range of applications
such as surveillance, monitoring, and automation. The volume of data collected by …

Ai wings: An aiot drone system for commanding ardupilot uavs

KT Lai, YT Chung, JJ Su, CH Lai… - IEEE Systems …, 2022 - ieeexplore.ieee.org
Recent advances in drone and artificial intelligence (AI) technologies have enabled many
innovative applications, such as package delivery, reconnaissance, and search and rescue …

An attention mechanism inspired selective sensing framework for physical-cyber mapping in internet of things

H Ning, X Ye, AB Sada, L Mao… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
The increasing growth of big data is certainly challenging ubiquitous sensing in the Internet
of Things (IoT) paradigm because of the limitations in sensing resources. Processing huge …

Online algorithms for hierarchical inference in deep learning applications at the edge

VN Moothedath, JP Champati, J Gross - arXiv preprint arXiv:2304.00891, 2023 - arxiv.org
We consider a resource-constrained Edge Device (ED), such as an IoT sensor or a
microcontroller unit, embedded with a small-size ML model (S-ML) for a generic …