Article
Engineering, Electrical & Electronic
Yuchao Zhu, Shaowei Wang
Summary: This paper proposes a cooperative trajectory planning scheme to address the energy issue of unmanned aerial vehicles (UAVs) by using a truck as a mobile recharging station. The scheme aims to minimize the total mission time for gathering data from sensor nodes by dividing the mission area into subregions and finding optimal trajectories for the UAV and the truck. An efficient clustering algorithm is introduced for load-balanced partitioning, and a three-step heuristic algorithm is used to solve the trajectory planning problem. Numerical results demonstrate the effectiveness and cost-efficiency of the proposed scheme for data collection in large-scale wireless sensor networks.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Mengqiu Shen, Anfeng Liu, Guosheng Huang, Neal N. Xiong, Huimin Lu
Summary: This article proposes an active and traceable trust-based data collection (ATTDC) scheme to collect trustworthy data in Internet of Things, utilizing unmanned aerial vehicles (UAVs) for quick and accurate trust evaluation of sensor nodes, ensuring the credibility of data collection.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Min Li, Shuangshuang He, Hao Li
Summary: This article proposes a V-shaped collection trajectory and jointly optimizes the flight and collection trajectory of UAVs to minimize the mission completion time. Through methods such as establishing a mission allocation model, proposing a V-shaped trajectory, and using a joint optimization algorithm, the data collection time is effectively reduced and performance is improved.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Maowu Zhou, Hongbin Chen, Lei Shu, Ye Liu
Summary: This article proposes a UAV-assisted sleep scheduling algorithm that can prolong network lifetime and ensure network coverage through minimal information exchange and node count.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Vasileios A. Memos, Konstantinos E. Psannis
Summary: This paper presents an Energy Efficient deployment strategy for Mobile Wireless Sensor Networks (MWSNs) using multiple sensor node clusters, a mobile sink in each cluster, and an Unmanned Aerial Vehicle (UAV) for the entire MWSN. The UAV wirelessly receives sensed data from the mobile sinks and delivers them to IoT-based users' devices. Experimental results demonstrate that the proposed model achieves optimization in terms of minimizing energy consumption and enhancing network lifetime.
Article
Engineering, Electrical & Electronic
Xinying Chen, Nan Zhao, Zheng Chang, Timo Hamalainen, Xianbin Wang
Summary: In this paper, a secure UAV-aided data collection and transmission scheme is proposed to ensure the freshness and security of the transmission from the sensors to the remote ground base station. The trajectory, flight duration, and user scheduling are optimized to maximize energy efficiency during the data collection phase. In the UAV data transmission phase, the maximum rate of transmission is considered to achieve a maximum secrecy rate.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Yinlu Wang, Ming Chen, Cunhua Pan, Kezhi Wang, Yijin Pan
Summary: This article investigates the energy minimization problem of a UAV-assisted data collection sensor network by optimizing the trajectory of the UAV and the power consumption of the sensors. An algorithm is proposed to optimize the problem and simulation results show its superiority over existing benchmark schemes.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Hongguang Zhang, Yuxuan Tao, Xiusha Lv, Yuanan Liu
Summary: In this study, the leader-follower UAV data collection algorithm (LFUDC) is proposed to improve data collection rate and shorten flight time in unmanned aerial vehicle (UAV)-assisted wireless sensor networks (WSNs). LFUDC utilizes trajectory adjustment and air-to-ground cooperation to achieve its objectives. By establishing a communication formation between leader and follower UAVs, LFUDC creates a new shape of covered communication area on the ground, reducing data collisions. Compared to existing algorithms, LFUDC outperforms both single and double UAV data collection algorithms. However, the limitation of LFUDC lies in the high cost of leader-follower UAVs.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Information Systems
Jie Chen, Jianhua Tang
Summary: The proposed energy-saving UAV-assisted data collection framework dynamically determines the working mode and energy threshold of sensor nodes to minimize the energy consumption of heterogeneous wireless sensor networks, while ensuring successful data transmission.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Omer Melih Gul, Aydan Muserref Erkmen
Summary: The work focuses on energy-aware data-gathering issues in clustered robotic networks. A cluster head assigns tasks and gathers monitoring data from sensors. A limited battery capacity UAV collects data from a subgroup of cluster head robots. A cost optimization algorithm is proposed, considering the energy consumption of the robots.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Xiaobo Zhou, Shihao Yan, Feng Shu, Riqing Chen, Jun Li
Summary: This work focuses on using UAV networks to covertly collect data from ground users, optimizing UAV trajectory, maximum AN transmit power, and user scheduling strategy to enhance system performance, and solving the non-convex optimization problem with the developed P-SCA scheme, achieving higher transmission rates.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Zhiguo Ding
Summary: This paper investigates UAV data collection systems with different multiple access schemes to maximize the minimum UAV data collection throughput from GNs. Proposed algorithms based on AO and penalty-based methods show improved performance compared to benchmark schemes, with NOMA outperforming OMA when GNs have sufficient energy.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Yu-Jia Chen, Kai-Min Liao, Meng-Lin Ku, Fung Po Tso, Guan-Yi Chen
Summary: This paper investigates a dynamic 3D trajectory design of multiple cache-enabled UAVs in a wireless D2D caching network with the goal of maximizing long-term network throughput. The proposed multi-agent reinforcement learning framework outperforms traditional single- and multi-agent Q-learning algorithms in determining optimal UAV trajectories. Our work confirms the feasibility and effectiveness of cache-enabled UAVs as an important complement to terrestrial D2D caching nodes.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Tianhao Wu, Jianfeng Liu, Juan Liu, Zhongyi Huang, Hao Wu, Chaorui Zhang, Bo Bai, Gong Zhang
Summary: This paper proposes an AI-based framework for UAV trajectory planning, consisting of two stages: determining hover positions and transmission time using a clustering module, and obtaining the minimum AoI flight path through neural trajectory solver. The proposed framework achieves significantly lower computational time and comparable accuracy to classic heuristic algorithms and commercial open-source solver.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Xingbo Lu, Weiwei Yang, Shihao Yan, Zan Li, Derrick Wing Kwan Ng
Summary: This work focuses on maximizing the timeliness of data collection in UAV-aided IoT networks under a covertness constraint. By deriving analytical expressions for covertness constraint and Age of Information, and optimizing the UAV's transmit power for WPT, WPT duration, and data transmission duration, the study reveals trade-offs between timeliness and covertness in data collection. The numerical results demonstrate the impact of different scenarios on the optimal strategies for data transmission.
IEEE INTERNET OF THINGS JOURNAL
(2021)