Article
Computer Science, Information Systems
Tummala. S. L. V. Ayyarao, N. S. S. Ramakrishna, Rajvikram Madurai Elavarasan, Nishanth Polumahanthi, M. Rambabu, Gaurav Saini, Baseem Khan, Bilal Alatas
Summary: This paper proposes a metaheuristic optimization algorithm based on ancient war strategy, which achieves a good balance between exploration and exploitation stages by simulating the strategic movements of army troops during war. The algorithm introduces a novel weight updating mechanism and a weak soldier's relocation strategy to improve its convergence and robustness.
Article
Telecommunications
Maria Papaioannou, Marina Karageorgou, Georgios Mantas, Victor Sucasas, Ismael Essop, Jonathan Rodriguez, Dimitrios Lymberopoulos
Summary: Internet of medical things (IoMT) is an emerging technology that aims to improve patient's quality of life through personalized e-health services. However, the devices used in IoMT are vulnerable to security threats, posing risks to patient's privacy and safety. It is crucial to develop novel security mechanisms to protect the IoMT edge network against threats.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Engineering, Electrical & Electronic
Xiaoying Liu, Bin Xu, Xiong Wang, Kechen Zheng, Kaikai Chi, Xianzhong Tian
Summary: This paper investigates the impacts of sensing energy and data availability on the secondary throughput of energy harvesting cognitive radio networks. It considers two extreme cases of data arrival processes and studies the effects on secondary throughput. The paper also compares non-cooperative spectrum sensing and cooperative spectrum sensing scenarios. It utilizes an energy threshold approach to balance energy harvesting and data transmission. Simulation results show the relationship between sensing energy, data availability, and secondary throughput.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Mehedi Masud, Gurjot Singh Gaba, Karanjeet Choudhary, M. Shamim Hossain, Mohammed F. Alhamid, Ghulam Muhammad
Summary: The Internet of Things (IoT) generates a large amount of heterogeneous data from various applications, such as digital health and smart hospitals. However, security vulnerabilities pose threats to the security and privacy of IoT networks. This research proposes a lightweight user authentication protocol to address these issues, with password protection to ensure that only authorized users can access the IoT sensor nodes.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Review
Telecommunications
Morghan Hartmann, Umair Sajid Hashmi, Ali Imran
Summary: Patients today have higher demands for a personalized and faster healthcare system. Edge computing, combined with 5G speeds and modern computing techniques, can meet the requirements for real-time collection and analysis of health data. Edge computing applications in healthcare focus on health data classification and monitoring of specific disease symptoms.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Computer Science, Information Systems
Liang Zhao, Zhenguo Bi, Ammar Hawbani, Keping Yu, Yan Zhang, Mohsen Guizani
Summary: Intelligent Digital Twin-based Software-Defined Vehicular Networks (IDT-SDVN) overcome the weaknesses of traditional SDVN architecture and maximize its advantages by constructing virtual network spaces and providing virtual instances of corresponding physical objects within the Digital Twin (DT). In this paper, a junction-based hierarchical routing scheme called ELITE is proposed, which consists of four phases: policy training and generation, deployment, and relay selection. Simulation results show that ELITE achieves significant improvements in packet delivery ratio, end-to-end delay, and communication overhead compared to its counterparts.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Telecommunications
G. Amudha
Summary: This article introduces a method for transaction access and retrieval based on blockchain technology, which improves information retrieval efficiency through non-recursive binary search and random access.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Sen Qiu, Zhengdong Hao, Zhelong Wang, Long Liu, Jiayi Liu, Hongyu Zhao, Giancarlo Fortino
Summary: This paper proposes an automatic phase segmentation method combined with a machine learning algorithm for analyzing kayak rowing. The results indicate that the combination of arm to trunk joint angle and support vector machine algorithm can better complete the task of phase segmentation.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Telecommunications
Abdul Rehman Javed, Zunera Jalil, Syed Atif Moqurrab, Sidra Abbas, Xuan Liu
Summary: This article presents an approach to detect botnet attacks at an early stage and accurately using network traffic and temporal features. The proposed approach utilizes machine learning algorithms and is compared with existing studies. The results show that the method is more efficient.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Computer Science, Information Systems
Salah Elhoushy, Mohamed Ibrahim, Walaa Hamouda
Summary: This paper provides a comprehensive survey of different aspects of the CF mMIMO system, including the system model, system operation, implementation limitations, and the potential of integrating with emerging technologies. Additionally, it presents a number of open problems and future research directions to fully exploit the potential of the CF mMIMO system in future wireless networks.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2022)
Article
Telecommunications
Amit Kishor, Chinmay Chakraborty
Summary: AI is widely used in healthcare 4.0 for early and accurate disease predictions, aided by IoT technology. This study proposes a machine learning model to predict different diseases, involving seven classification algorithms. The Random Forest classifier achieved high accuracy, sensitivity, specificity, and AUC for various diseases.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Chongke Bi, Jiamin Wang, Yulin Duan, Baofeng Fu, Jia-Rong Kang, Yun Shi
Summary: This paper proposes a low-cost, stable, and high precision method for apple leaf disease identification using the MobileNet model. The method can be easily deployed on mobile devices and allows anyone to inspect apple leaf diseases stably, with precision comparable to existing complex deep learning models.
MOBILE NETWORKS & APPLICATIONS
(2022)
Review
Computer Science, Information Systems
Christian Breyer, Siavash Khalili, Dmitrii Bogdanov, Manish Ram, Ayobami Solomon Oyewo, Arman Aghahosseini, Ashish Gulagi, A. A. Solomon, Dominik Keiner, Gabriel Lopez, Poul Alberg Ostergaard, Henrik Lund, Brian Mathiesen, Mark Z. Jacobson, Marta Victoria, Sven Teske, Thomas Pregger, Vasilis Fthenakis, Marco Raugei, Hannele Holttinen, Ugo Bardi, Auke Hoekstra, Benjamin K. Sovacool
Summary: Research on 100% renewable energy systems is a relatively new field that has found that achieving 100% renewable energy worldwide is feasible and cost-effective. Solar energy and wind power are seen as the central pillars of a sustainable energy system, and research has focused on addressing challenges such as grid congestion, energy storage, sector coupling, and climate change.
Review
Computer Science, Information Systems
Md Safayatullah, Mohamed Tamasas Elrais, Sumana Ghosh, Reza Rezaii, Issa Batarseh
Summary: This paper provides a comprehensive review of off-board chargers for electric vehicles (EVs), discussing their topologies, control methods, and recent research progress. It also presents integrated multiport EV chargers and comparative analysis of ac-dc rectifiers, dc-dc converters, and multiport converters. The findings serve as a guideline for future research directions in EV charging solutions.
Article
Computer Science, Information Systems
Pooyan Shams Farahsari, Amirhossein Farahzadi, Javad Rezazadeh, Alireza Bagheri
Summary: This article provides a panoramic view of indoor positioning systems and localization services with a focus on IoT. It explains the main concepts, reviews the latest positioning methods and technologies, and discusses implementation challenges and solutions. It also mentions location-based services, real IoT applications, and active vendors in the field of positioning services.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Segun Popoola, Ruth Ande, Bamidele Adebisi, Guan Gui, Mohammad Hammoudeh, Olamide Jogunola
Summary: This article proposes a federated deep learning method for zero-day botnet attack detection in IoT-edge devices. The method generates a global model by coordinating the training of independent models in multiple IoT-edge devices, achieving high-performance classification detection of zero-day botnet attacks and ensuring data privacy and security.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Christina Chaccour, Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Petar Popovski, Merouane Debbah
Summary: This paper extensively examines the steps needed to deploy and operate next-generation THz wireless systems, as well as the seven defining features of THz systems and their impact on current wireless systems. THz systems benefit from their quasi-opticality and sensing opportunities, and can guarantee system performance through intelligent surfaces, lower frequency bands, and machine learning techniques.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2022)
Review
Telecommunications
Alireza Souri, Aseel Hussien, Mahdi Hoseyninezhad, Monire Norouzi
Summary: This paper provides a comprehensive analysis of IoT communication strategies and applications, categorizes them into different topics and presents a technical taxonomy to classify existing papers. The evaluation factors and infrastructure attributes are discussed, and future challenges and issues are also presented.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Computer Science, Hardware & Architecture
Faris A. Almalki, S. H. Alsamhi, Radhya Sahal, Jahan Hassan, Ammar Hawbani, N. S. Rajput, Abdu Saif, Jeff Morgan, John Breslin
Summary: The development of IoT and smart cities has brought changes and challenges. Green IoT can address environmental issues and make smart cities more sustainable and eco-friendly.
MOBILE NETWORKS & APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Wujie Zhou, Yun Zhu, Jingsheng Lei, Jian Wan, Lu Yu
Summary: This paper proposes a crossflow and cross-scale adaptive fusion network (CCAFNet) for detecting salient objects in RGB-D images. The network effectively fuses depth and high-level RGB features through channel fusion and spatial fusion modules, extracting accurate semantic and spatial information. Experimental results show that the performance of CCAFNet is comparable to state-of-the-art RGB-D SOD models.
IEEE TRANSACTIONS ON MULTIMEDIA
(2022)
