Article
Engineering, Electrical & Electronic
Conghui Hao, Yueyun Chen, Zhiyuan Mai, Guang Chen, Meijie Yang
Summary: This paper aims to further reduce UAV energy consumption while minimizing task completion time. A novel UAV utility function is proposed to describe task completion time and energy consumption. The problem is formulated as a mixed-integer nonconvex utility maximization problem, and a two-layer joint task time and trajectory optimization (JTTTO) iterative algorithm is proposed to solve it. The proposed data acquisition scheme successfully decreases UAV energy consumption while minimizing task completion time.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Qian Zhu, Rongke Liu, Zijie Wang, Qirui Liu, Lincong Han
Summary: In this article, a novel ranging code design for UAV swarm self-positioning is proposed, which can flexibly change the truncated length to ensure accuracy and improve resource utilization. Numerical results demonstrate that this design is a superior way for future green aerial IoT in both positioning and resource utilization, as compared with a state-of-the-art approach.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Zhuofan Liao, Yinbao Ma, Jiawei Huang, Jianxin Wang, Jin Wang
Summary: This article proposes a UAV-assisted edge computing framework named HOTSPOT, which locates the UAV in 3-D space according to the time-varying hot spot of user distribution and provides corresponding edge computing offloading assistance, reducing computational pressure for both EUs and GBS. By formulating the UAV positioning problem into a maximum clique problem, a lightweight deterministic algorithm based on stochastic gradient descent is proposed to search for the optimal location of the UAV. With the precise UAV positioning, HOTSPOT further provides an opportunistic offloading balanced scheme to achieve low latency, with simulation results showing significant reductions in offloading delay under different GBS loads.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Hongjiang Lei, Chen Zhu, Ki-Hong Park, Weijia Lei, Imran Shafique Ansari, Theodoros A. Tsiftsis
Summary: This article examines the secure communication performance of nonorthogonal multiple access (NOMA) communication systems with aerial eavesdroppers. It investigates the ground-to-ground and ground-to-air scenarios and derives exact expressions for the secrecy outage probability.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Liudong Xing, Barry W. Johnson
Summary: With the rapid development of the Internet of Things (IoT), unmanned aerial vehicles (UAVs) are playing an increasingly important role in military and civil applications. This article reviews the reliability literature of UAVs, highlighting failure causes and challenges, as well as discussing modeling, analysis, and design methods for UAV systems and subsystems. It also presents open research problems and opportunities for designing reliable and resilient UAVs and UAV-assisted IoT systems.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Ali Ranjha, Georges Kaddoum
Summary: This article explores the use of unmanned aerial vehicles (UAVs) and reconfigurable intelligent surfaces (RISs) to support ultrareliable and low-latency traffic in upcoming 5G networks through passive beamforming and nonlinear optimization. The proposed approach shows better convergence performance and lower computation time compared to traditional methods, highlighting the importance of UAV position for achieving ultrahigh reliability in short packet transmission.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Han-Ting Ye, Xin Kang, Jingon Joung, Ying-Chang Liang
Summary: This article investigates a full-duplex OFDMA-based multiple UAV-enabled wireless-powered IoT network, optimizing device charging, information collection, and communication time slots. Simulation results show that the proposed scheme achieves significant throughput gains compared with conventional schemes.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Qixun Zhang, Haizhou Wang, Zhiyong Feng, Zhu Han
Summary: The article proposes a task-driven dynamic multiconnectivity matching game framework for efficient bandwidth allocation between UAVs and users. Through full matching and simplified matching algorithms, stable solutions were achieved, with increased system throughput and reduced complexity.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Na Lin, Yanbo Fan, Liang Zhao, Xiaoming Li, Mohsen Guizani
Summary: This paper proposes a global energy efficiency maximization strategy for multi-UAV enabled communication systems. The strategy optimizes the trajectory control of UAVs to maximize the global energy efficiency, taking into account both communication throughput and total energy consumption.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Tianhao Liang, Tingting Zhang, Jiayan Yang, Daquan Feng, Qinyu Zhang
Summary: This article proposes a UAV aided positioning (UAP) system that utilizes unmanned aerial vehicles to provide valuable observations for reliable and high-precision positioning of ground devices. The article presents mathematical derivations and algorithm designs to solve the problem, and validates the solutions through simulations and experiments.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Xiao-Hui Lin, Su-Zhi Bi, Nan Cheng, Ming-Jun Dai, Hui Wang
Summary: This article discusses how to use drones to collect ground data in IoT systems, and proposes an alpha-fairness approach to balance energy consumption among IoT sensors to improve system longevity. By designing an alpha-utility function to balance the tradeoff between energy efficiency and fairness, maximizing the utility function to optimize bandwidth allocation, transmission power, and UAV trajectory. The article also demonstrates how to properly set the alpha value according to specific application scenarios to achieve different levels of energy fairness.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Zhenyu Na, Chenglan Ji, Bin Lin, Ning Zhang
Summary: This article studies the physical-layer security of UAV relaying communication system in multiterminal IoT scenarios. By proposing a high-efficiency algorithm for joint optimization of UAV trajectory and resource allocation, it aims to improve the information secrecy of IoT terminals and enhance communication fairness.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Yue Zhao, Zan Li, Nan Cheng, Benjian Hao, Xuemin Shen
Summary: This article introduces a space-air integrated localization network (SAILN) architecture that utilizes unmanned aerial vehicles (UAVs) for accurate location estimation of Internet-of-Things (IoT) devices within an Area of Interest (AoI) in a global navigation satellite system (GNSS)-constrained environment. The joint position and power optimization (JPPO) strategies of UAVs aim to improve regional localization accuracy for the entire AoI while considering no-fly-zones (NFZ) and total energy constraints. Simulation results show that a power reallocation-based two-step algorithm (PRTSA) can achieve higher localization accuracy compared to baseline methods.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Telecommunications
Rambod Pakrooh, Ali Bohlooli
Summary: Unmanned Aerial Vehicles (UAVs) have been widely developed for military applications, and with the advancement of IoT and smart devices, they are now being used in various domains. The inherent advantages of UAVs, such as high dynamicity and low cost, have motivated researchers to integrate them into IoT systems. Future directions include addressing the challenges associated with designing UAV-assisted IoT systems.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Nan Cheng, Shen Wu, Xiucheng Wang, Zhisheng Yin, Changle Li, Wen Chen, Fangjiong Chen
Summary: With the rapid development of the Internet of Things (IoT), unmanned aerial vehicles (UAVs) are widely used to improve the performance of IoT networks. These UAVs can provide wireless access to IoT devices and perform various IoT services and applications. However, the complexity of UAV-assisted IoT networks has led to the use of artificial intelligence (AI)-based methods to optimize, schedule, and coordinate these networks. This article comprehensively analyzes the impact of AI on UAV-assisted IoT networks and discusses potential research directions.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Masoud Abdan, Seyed Amin Hosseini Seno
Summary: This paper discusses wormhole attack and its classification using machine learning methods. The experimental results show that the decision tree method has the highest accuracy, while other methods also exhibit relatively high accuracies.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2022)
Article
Computer Science, Theory & Methods
Samane Sharif, Mohammad Hossein Yaghmaee Moghaddam, Seyed Amin Hosseini Seno
Summary: In this paper, a sliding window-based adaptive cache placement framework is proposed for the ICN-IoT architecture. By utilizing an optimization model and a software-defined cache controller, the system is able to adapt to changes in data popularity over time, resulting in reduced total energy consumption and increased robustness.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2022)
Article
Computer Science, Information Systems
Shirzad Shahryari, Farzad Tashtarian, Seyed-Amin Hosseini-Seno
Summary: Edge Cloud Computing (ECC) is a new approach to provide cloud computing services to mobile users, aiming to reduce latency and increase bandwidth. This study proposes a Cost-aware Virtual Machine (VM) placement and migration (CoPaM) framework that selects optimal Cloudlets using path prediction methods to optimize service efficiency and costs.
COMPUTER COMMUNICATIONS
(2022)
Article
Telecommunications
Ahmed Jawad Kadhim, Seyed Amin Hosseini Seno, Jaber Ibrahim Naser, Jawad Javad Hajipour
Summary: This paper presents a Delay efficient Multicasting approach depending on Parked vehicles, Fog Computing (FC) and Software Defined Network (SDN) for Vehicular Ad Hoc Networks (VANETs). The proposed approach considers bandwidth constraint, introduces a scheduling method based on application priority, and utilizes a partitioning technique to reduce overhead and time complexity. Simulation results demonstrate that the proposed approach outperforms other existing protocols in terms of packet delivery ratio, average end to end delay, and communication overhead.
VEHICULAR COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Mustafa Azeez Al Mayyahi, Seyed Amin Hosseini Seno
Summary: Cloud computing plays a prominent role in our day-to-day lives, offering robustness, cost-effectiveness, and pervasive nature. However, ensuring data security and privacy remains a challenge. This paper proposes a method that utilizes order-preserving symmetric encryption (OPES) to track malicious users and protect system security.
BAGHDAD SCIENCE JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Mohammad Javad Sobouti, Amir Hossein Mohajerzadeh, Seyed Amin Hosseini Seno, Halim Yanikomeroglu
Summary: In this article, a method for solving the multi-FBS 3D trajectory problem is proposed, taking into account FBS energy consumption, operation time, flight distance limits, and intercell interference constraints. The method is divided into two phases: FBS placement and FBS trajectory. The problem is broken into several snapshots, where the minimum number of FBSs and their positions are determined. The trajectory phase determines the optimal path for each FBS, considering energy consumption, flight distance, obstacles, and collision avoidance. The number of FBSs needed may vary between snapshots, and an FSM technique is presented to manage the FBS set and their power.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Information Systems
Gianluca Fontanesi, Anding Zhu, Mahnaz Arvaneh, Hamed Ahmadi
Summary: In this article, a transfer learning approach is proposed to enhance the path learning of autonomous unmanned aerial vehicles (UAVs) in a new domain, using a teacher policy trained in an old domain. The approach is evaluated in different urban environment scenarios at sub-6 GHz and millimeter-wave (mmWave). Results show that this approach considerably reduces the training time at mmWave.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Somayeh Soltani, Seyed Amin Hosseini Seno
Summary: One challenge in digital forensics is the large number of investigative cases. Researchers have proposed different triage methods to tackle this problem. In this paper, a software signature detection engine (SSDE) is introduced to identify the usage of software on the system being investigated. The experimental results show that some SSDE models have achieved high precision and recall rates.
FORENSIC SCIENCE INTERNATIONAL-DIGITAL INVESTIGATION
(2023)
Article
Telecommunications
Kobra Behravan, Nazbanoo Farzaneh, Mohsen Jahanshahi, Seyed Amin Hosseini Seno
Summary: With the rise of fog computing, the use of real-time services at the network's edge has increased. However, the limited storage and computation capacity and energy consumption of smart vehicles make it difficult to run computationally-demanding applications. A suitable solution is to offload these applications to a centralized cloud, but this comes at the cost of wasted bandwidth and increased delay. As the number of smart vehicles is expected to grow, fog computing emerges as a new technology to meet unique requirements in vehicular ad-hoc networks.
VEHICULAR COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Ifiok Anthony Umoren, Muhammad Zeeshan Shakir, Hamed Ahmadi
Summary: This article introduces an incentivized energy trading approach to study the interaction between electric vehicles (EVs) and critical loads (CL) in the context of vehicle-to-grid (V2G) concept. The approach considers EV mobility, battery degradation, and bidder satisfaction. It models EV-CL association as a single auction in the first phase to determine winning bids and payments, while EV discharging scheduling determines operating costs and discharging power in the second phase. Simulation results demonstrate comparable performance with reference schemes and guarantee bidder satisfaction. Theoretical analysis verifies the economic properties of truthfulness and individual rationality.
Review
Computer Science, Information Systems
Mohammad Hosein Panahi Rizi, Seyed Amin Hosseini Seno
Summary: The development of smart cities has improved citizens' quality of life, but the violation of privacy and security is a critical challenge. Protecting citizens' privacy is necessary to gain their trust.
INTERNET OF THINGS
(2022)
Article
Computer Science, Information Systems
Somayeh Soltani, Seyed Amin Hosseini Seno, Juli Rejito, Rahmat Budiarto
Summary: This paper discusses the importance of satellite networks and the vulnerabilities in existing protocols for satellite communications. It proposes a secure authentication and session key agreement protocol using elliptic curve cryptography (ECC), and demonstrates its security through validation tools and model checkers, as well as comparing it with similar methods.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)