Review
Computer Science, Information Systems
Achilles D. Boursianis, Maria S. Papadopoulou, Panagiotis Diamantoulakis, Aglaia Liopa-Tsakalidi, Pantelis Barouchas, George Salahas, George Karagiannidis, Shaohua Wan, Sotirios K. Goudos
Summary: This paper investigates the applications of IoT and UAV technology in agriculture. The main principles of IoT technology, including intelligent sensors, IoT sensor types, networks, and protocols used in agriculture, as well as IoT applications and solutions in smart farming are described. The role of UAV technology in smart agriculture is also presented, analyzing its applications in various scenarios such as irrigation, fertilization, use of pesticides, weed management, plant growth monitoring, crop disease management, and field-level phenotyping. IoT and UAV technology are identified as two important technologies that transform traditional cultivation practices into a new perspective of intelligence in precision agriculture.
INTERNET OF THINGS
(2022)
Article
Computer Science, Information Systems
Sang-Min Park, Young-Gab Kim
Summary: This paper discusses the Metaverse based on the social value of Generation Z, analyzing its technological development, conceptual definition, and implementation methods in detail. A new definition of Metaverse is proposed, dividing the key concepts and technologies necessary for realizing Metaverse, as well as the impacts and challenges.
Article
Engineering, Electrical & Electronic
Fan Liu, Yuanhao Cui, Christos Masouros, Jie Xu, Tony Xiao Han, Yonina C. Eldar, Stefano Buzzi
Summary: This article provides a comprehensive review on the background, key applications, and state-of-the-art approaches of Integrated Sensing and Communications (ISAC). It discusses the interplay between sensing and communications (S&C), performance tradeoffs, and signal processing aspects of ISAC. The article also presents a vision on the deeper integration of S&C within the framework of perceptive networks and the potential integration of ISAC with other emerging communication technologies, highlighting their positive impacts on the future of wireless networks.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, Dusit Niyato, Octavia Dobre, H. Vincent Poor
Summary: This article explores the emerging opportunities brought by 6G technologies in IoT networks and applications. It sheds light on fundamental 6G technologies and discusses their roles in various prospective IoT applications. The article highlights research challenges and potential directions for further research in this promising area.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Olaide Nathaniel Oyelade, Absalom El-Shamir Ezugwu, Tehnan I. A. Mohamed, Laith Abualigah
Summary: This study proposes a novel bio-inspired and population-based optimization algorithm named Ebola Optimization Search Algorithm (EOSA) based on the propagation mechanism of the Ebola virus disease. The algorithm outperforms popular metaheuristic algorithms such as Particle Swarm Optimization Algorithm (PSO), Genetic Algorithm (GA), and Artificial Bee Colony Algorithm (ABC) in terms of scalability, convergence, and sensitivity analyses. The algorithm is also successfully applied to the problem of selecting the best combination of convolutional neural network (CNN) hyperparameters in the image classification of digital mammography.
Article
Engineering, Aerospace
Zhi Lin, Hehao Niu, Kang An, Yong Wang, Gan Zheng, Symeon Chatzinotas, Yihua Hu
Summary: This article focuses on joint beamforming design and optimization for RIS-aided hybrid satellite-terrestrial relay networks. By smartly coordinating the passive elements' phase shifts at the RIS, the desired satellite signals at the blocked users can be strengthened. An alternating optimization scheme is proposed to minimize the transmit power of both the satellite and base station while guaranteeing the rate requirements of users.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2022)
Article
Computer Science, Information Systems
N. N. Misra, Yash Dixit, Ahmad Al-Mallahi, Manreet Singh Bhullar, Rohit Upadhyay, Alex Martynenko
Summary: The Internet of Things (IoT), big data, and artificial intelligence (AI) have significantly impacted the agricultural and food industry, providing opportunities for monitoring, supply chain modernization, social media applications, food quality assessment, and food safety.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Ahmed Imteaj, Urmish Thakker, Shiqiang Wang, Jian Li, M. Hadi Amini
Summary: This article investigates the methods and challenges of training distributed machine learning models in resource-constrained IoT environments, discusses the limitations of existing research, and identifies future research directions.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
J. Andrew Zhang, Md Lushanur Rahman, Kai Wu, Xiaojing Huang, Y. Jay Guo, Shanzhi Chen, Jinhong Yuan
Summary: This paper presents a comprehensive survey of the motivation, methodologies, challenges, and research opportunities in realizing a perceptive mobile network (PMN), which integrates sensing and communication capabilities. The PMN aims to provide a ubiquitous radio sensing platform and enable novel smart applications without compromising communication services. The paper discusses the JCAS technology, different types of JCAS systems, the framework of PMN, required system modifications, and stimulating research problems and potential solutions.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2022)
Review
Computer Science, Information Systems
Sukhpal Singh Gill, Minxian Xu, Carlo Ottaviani, Panos Patros, Rami Bahsoon, Arash Shaghaghi, Muhammed Golec, Vlado Stankovski, Huaming Wu, Ajith Abraham, Manmeet Singh, Harshit Mehta, Soumya K. Ghosh, Thar Baker, Ajith Kumar Parlikad, Hanan Lutfiyya, Salil S. Kanhere, Rizos Sakellariou, Schahram Dustdar, Omer Rana, Ivona Brandic, Steve Uhlig
Summary: Autonomic computing investigates how systems can achieve specified control outcomes on their own. Integrating AI/ML to improve resource autonomy and performance remains a fundamental challenge. Experts in the field discuss current research, potential future directions, and challenges and opportunities for leveraging AI and ML in emerging computing paradigms.
INTERNET OF THINGS
(2022)
Article
Engineering, Electrical & Electronic
Khaled B. Letaief, Yuanming Shi, Jianmin Lu, Jianhua Lu
Summary: Researchers proposed the vision of an edge AI system that integrates wireless communication strategies and decentralized machine learning models to enhance the efficiency, effectiveness, privacy, and security of 6G networks. Additionally, standardization, software and hardware platforms, and application scenarios are discussed to facilitate the industrialization and commercialization of edge AI systems.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Yun Li, Hui Ma, Lei Wang, Shiwen Mao, Guoyin Wang
Summary: This paper investigates the problem of content caching and user association for edge computing, and proposes an optimization problem and algorithm to reduce content download latency. Simulation results demonstrate that the proposed algorithm effectively reduces latency and improves cache hit rates at base stations.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Xiaojie Wang, Zhaolong Ning, Song Guo, Lei Wang
Summary: The paper proposes an imitation learning enabled online task scheduling algorithm with near-optimal performance from the initial stage. An expert can obtain the optimal scheduling policy by solving the formulated optimization problem with a few samples offline. In theory, agent policies are trained by following the expert's demonstration with an acceptable performance gap.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Viraaji Mothukuri, Prachi Khare, Reza M. Parizi, Seyedamin Pouriyeh, Ali Dehghantanha, Gautam Srivastava
Summary: The Internet of Things (IoT) consists of billions of physical devices connected to the Internet, performing tasks independently with less human intervention. However, IoT networks are vulnerable to malicious attacks that aim to steal and manipulate personal data. In order to address this issue, the paper proposes a federated-learning (FL)-based approach that uses decentralized on-device data for anomaly detection in IoT networks. Experimental results demonstrate that this approach outperforms traditional centralized machine learning methods in securing user data privacy and achieving optimal accuracy in attack detection.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Keping Yu, Zhiwei Guo, Yu Shen, Wei Wang, Jerry Chun-Wei Lin, Takuro Sato
Summary: The emergence of Artificial Intelligence of Things (AIoT) has provided new opportunities for social computing applications. This article proposes a secure AIoT architecture for implicit group recommendations, which effectively captures group preference features and provides personalized services through hardware and software modules.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Telecommunications
Fadi Al-Turjman, Hadi Zahmatkesh, Ramiz Shahroze
Summary: Smart cities have greatly improved the quality of life and services for citizens and urban environments. They encompass various areas such as transportation, healthcare, smart buildings, public safety, smart parking, traffic systems, and smart agriculture. However, these applications also bring about security and privacy concerns that need to be addressed during the design and implementation process.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Computer Science, Information Systems
Weizheng Wang, Qiu Chen, Zhimeng Yin, Gautam Srivastava, Thippa Reddy Gadekallu, Fawaz Alsolami, Chunhua Su
Summary: This article introduces a lightweight and reliable authentication protocol for WMSN, based on blockchain technology and physically unclonable functions (PUFs). A fuzzy extractor scheme is used to handle biometric information, and two security evaluation methods are employed to prove the high reliability of the proposed scheme. Performance evaluation experiments demonstrate that the proposed mutual authentication protocol has the least computation and communication cost among the compared schemes.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Ming Tang, Vincent W. S. Wong
Summary: In this paper, a model-free deep reinforcement learning-based distributed algorithm is proposed to address the load problem in mobile edge computing systems. The algorithm can effectively reduce the ratio of dropped tasks and average delay.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Robert Schober
Summary: This paper investigates the novel concept of simultaneously transmitting and reflecting reconfigurable intelligent surfaces (RISs) and proposes practical operating protocols for RISs. The joint optimization of active beamforming and passive transmission and reflection beamforming can effectively reduce power consumption and improve the performance of unicast and multicast transmission.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Yuanwei Liu, Shuowen Zhang, Xidong Mu, Zhiguo Ding, Robert Schober, Naofal Al-Dhahir, Ekram Hossain, Xuemin Shen
Summary: Due to the growth in wireless devices and services, next generation wireless networks face unprecedented challenges. Advanced multiple access schemes, particularly non-orthogonal multiple access (NOMA), are being explored as a solution. This paper discusses the evolution of next generation multiple access (NGMA) and the potential techniques and mathematical tools involved.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2022)
