C Zhan, H Hu, Z Liu, Z Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Unmanned-aerial-vehicle (UAV)-enabled mobile-edge computing (MEC) has emerged as a promising paradigm to extend the coverage of computation service for Internet of Things …
T Wang, H Luo, X Zeng, Z Yu, A Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Smart cities can manage assets and resources efficiently by using different types of electronic data collection sensors, devices and vehicles. However, growing complexity of …
YH Hsu, RH Gau - IEEE Transactions on Mobile Computing, 2020 - ieeexplore.ieee.org
In this paper, we propose a reinforcement learning approach of collision avoidance and investigate optimal trajectory planning for unmanned aerial vehicle (UAV) communication …
Y Wang, M Chen, C Pan, K Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In this article, we investigate the energy minimization problem of an unmanned-aerial- vehicle (UAV)-assisted data collection sensor network. We jointly optimize the trajectory of …
The development of cloud computing pours great vitality into traditional wireless sensor networks (WSNs). The integration of WSNs and cloud computing has received a lot of …
In this paper, we consider the problem of completely flying over an area just hit by an earthquake with a fleet of Unmanned Aerial Vehicles (UAVs) to opportunely direct rescue …
N Kumar, D Dash - Journal of Ambient Intelligence and Humanized …, 2020 - Springer
In wireless sensor networks (WSNs), sensors are equipped with limited power batteries. Data collection from sensors is one of the fundamental tasks in WSNs. Maximizing the data …
Introducing mobile robots into wireless sensor networks to collect data can balance the energy dissipation through the entire network and then improve the network lifetime. In this …
The motivation for writing this book came from our previous research works on sensor coverage. They received a large number of citations and this number grows rapidly each …