Resource scheduling in edge computing: A survey
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …
networks, the surging demand for data communications and computing calls for the …
Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges
S Aggarwal, N Kumar - Computer communications, 2020 - Elsevier
Path planning is one of the most important problems to be explored in unmanned aerial
vehicles (UAVs) for finding an optimal path between source and destination. Although, in …
vehicles (UAVs) for finding an optimal path between source and destination. Although, in …
A survey on green 6G network: Architecture and technologies
T Huang, W Yang, J Wu, J Ma, X Zhang… - IEEE access, 2019 - ieeexplore.ieee.org
While 5G is being commercialized worldwide, research institutions around the world have
started to look beyond 5G and 6G is expected to evolve into green networks, which deliver …
started to look beyond 5G and 6G is expected to evolve into green networks, which deliver …
[HTML][HTML] Federated learning in smart city sensing: Challenges and opportunities
Smart Cities sensing is an emerging paradigm to facilitate the transition into smart city
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
A survey on mobile crowdsensing systems: Challenges, solutions, and opportunities
Mobile crowdsensing (MCS) has gained significant attention in recent years and has
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
become an appealing paradigm for urban sensing. For data collection, MCS systems rely on …
Towards federated learning in uav-enabled internet of vehicles: A multi-dimensional contract-matching approach
Coupled with the rise of Deep Learning, the wealth of data and enhanced computation
capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence …
capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence …
[HTML][HTML] Computing in the sky: A survey on intelligent ubiquitous computing for uav-assisted 6g networks and industry 4.0/5.0
Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …
Learning in the air: Secure federated learning for UAV-assisted crowdsensing
Unmanned aerial vehicles (UAVs) combined with artificial intelligence (AI) have opened a
revolutionized way for mobile crowdsensing (MCS). Conventional AI models, built on …
revolutionized way for mobile crowdsensing (MCS). Conventional AI models, built on …
UAV swarm intelligence: Recent advances and future trends
Y Zhou, B Rao, W Wang - Ieee Access, 2020 - ieeexplore.ieee.org
The dynamic uncertain environment and complex tasks determine that the unmanned aerial
vehicle (UAV) system is bound to develop towards clustering, autonomy, and intelligence. In …
vehicle (UAV) system is bound to develop towards clustering, autonomy, and intelligence. In …
Learning-based context-aware resource allocation for edge-computing-empowered industrial IoT
Edge computing provides a promising paradigm to support the implementation of Industrial
Internet of Things (IIoT) by offloading computational-intensive tasks from resource-limited …
Internet of Things (IIoT) by offloading computational-intensive tasks from resource-limited …