Article
Computer Science, Information Systems
Ahmed Badi, Imad Mahgoub
Summary: The Internet of Things (IoT) is an emerging field where buildings, vehicles, factories, and other entities communicate automatically, with a focus on energy-efficiency and reliability. The ReapIoT protocol introduces energy-saving techniques such as message classification and personalized link power settings to optimize energy consumption while ensuring reliable data delivery.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Automation & Control Systems
Amir Masoud Aminian Modarres, Ghazaleh Sarbishaei
Summary: The Internet of Things (IoT) is a network of connected objects or devices that gather information and exchange it through communication systems. Protecting sensitive data against security threats is crucial in IoT applications, and using multifactor authentication protocols is an efficient solution. This article analyzes a two-factor authentication protocol proposed by Aman et al., discusses its weaknesses, and proposes an improved protocol to provide stronger mutual authentication and overcome the mentioned issues.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Information Systems
Chao Chen, Li-Chun Wang, Chih-Min Yu
Summary: This article introduces a novel energy-efficient distributed 2-hop cluster-routing protocol that achieves energy efficiency in wireless sensor networks. Simulation results show that the protocol is superior to other competitive routing protocols in terms of network lifetime, energy consumption, and packet transmission.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Yanxing Song, F. Richard Yu, Li Zhou, Xi Yang, Zefang He
Summary: Logistics is a key driver of competitiveness for countries and firms, and the development of smart logistics through IoT technologies offers opportunities to solve current industry challenges of high costs and low efficiency. By leveraging mathematical analysis technologies, IoT can explore complex relationships between transactions, facilitating the advancement of smart logistics within the ICT realm.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Desoky Abdelqawy, Abeer El-Korany, Amr Kamel, Soha Makady
Summary: The Internet of Things (IoT) faces challenges due to vendor diversity and lack of a common communication interface, resulting in reduced resource utilization and additional costs. This study proposes an IoT computing platform architecture, called Hub-OS, for efficient management of devices and applications from different vendors, enabling seamless integration and real-time processing.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Review
Engineering, Electrical & Electronic
Muhammad Ali Jamshed, Kamran Ali, Qammer H. Abbasi, Muhammad Ali Imran, Masood Ur-Rehman
Summary: This survey provides a comprehensive overview of wireless sensor nodes, including their historical and architectural background, as well as an in-depth analysis of their design and system performance measurement. It also discusses the need for wireless sensor networks, their deployment and communication protocols, and explores the challenges and limitations faced by these nodes in different environments and during the manufacturing process. The survey concludes with an overview of existing developments expected to enhance wireless sensor nodes to meet the requirements of emerging systems.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Information Systems
Daojing He, Ziming Zhao, Sammy Chan, Mohsen Guizani
Summary: This article proposes an identity authentication protocol between embedded devices and servers using elliptic curve encryption and timestamp security attributes. The protocol ensures device anonymity and prevents replay attacks. The security and performance of the protocol are proven through formal verification and experimental comparison with existing protocols.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Hao Chen, Shaocheng Huang, Deyou Zhang, Ming Xiao, Mikael Skoglund, H. Vincent Poor
Summary: This study investigates the problem of jointly optimizing communication efficiency and resources for federated learning over wireless Internet of Things (IoT) networks. By proposing a new client scheduling policy and a power and bandwidth allocation method, this research improves both the communication efficiency and learning performance.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Ata Ullah, Muhammad Azeem, Humaira Ashraf, N. Z. Jhanjhi, Lewis Nkenyereye, Mamoona Humayun
Summary: Internet of Things (IoT) has gained increasing interest due to its wide applicability in various fields. This article presents a critical data reclamation (CDR) protocol that provides secure data transmission for isolated clusters in IoT-enabled wireless sensor networks (WSNs). Extensive simulations show that the CDR protocol outperforms other counterparts in terms of communication cost, energy consumption, and resilience.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Chemistry, Analytical
Athanasios Tsakmakis, Anastasios Valkanis, Georgia Beletsioti, Konstantinos Kantelis, Petros Nicopolitidis, Georgios Papadimitriou
Summary: This research proposes a technique for event detection and monitoring of environmental disasters using the Internet of Things (IoT). By utilizing the LoRaWAN protocol and a hybrid MAC model, it effectively reduces transmission delay and achieves superior performance.
Article
Computer Science, Information Systems
Revathy Narayanan, C. Siva Ram Murthy
Summary: This study focuses on the routing problem of low-power multiradio mesh networks, proposing a routing algorithm called Chorus that effectively reduces conversion overheads and demonstrates significant performance improvement in tests.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Construction & Building Technology
Jose Joaquin Peralta Abadia, Christian Walther, Ammar Osman, Kay Smarsly
Summary: Recent developments in smart sensing technologies have led to the widespread use of smart city applications that rely on IoT frameworks. However, the definitions of smart city and IoT framework vary. This study aims to consolidate these definitions and provide a systematic survey of IoT frameworks for smart city applications, ultimately proposing an abstract IoT framework concept.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Computer Science, Information Systems
Venkataramani Kumar, Fuhao Li, Feng Ye, Guru Subramanyam
Summary: This article proposes an autonomous wireless detection scheme that uses real-time measurements and feature extraction of physical layer settings to identify different wireless technologies in IoT applications. The proposed scheme shows high accuracy in real-time detection for seamless IoT applications, as evaluated through theoretical analysis and hardware testing.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Huili Zhang, Binghao Li, Mahmoud Karimi, Serkan Saydam, Mahbub Hassan
Summary: This article presents the structure of a Mine IoT system based on a three-layer IoT architecture and classifies sensors commonly used in underground mines by specific applications. It also introduces wired and wireless communication technologies and network topologies applicable in underground mines. The article provides a comprehensive review of recent developments in IoT applications for monitoring various environmental parameters and safety management in underground mines. It highlights key challenges and the need for further research in novel advanced techniques to improve the applicability and effectiveness of IoT applications in underground mines.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Shun-Ren Yang, Yi-Chun Lin, Phone Lin, Yuguang Fang
Summary: The article introduces the first SIP-based AIoT service platform, AIoTtalk, which enables rapid development of scalar and multimedia AIoT applications. Through the deployment of an experimental testbed and two real SIP-based AIoT applications, the applicability and performance of AIoTtalk under both cloud and edge scenarios are demonstrated.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Nikhath Tabassum, Geetha D. Devanagavi, Rajashekhar C. Biradar, Mihai T. Lazarescu
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2020)
Editorial Material
Chemistry, Analytical
Christos Koulamas, Mihai T. Lazarescu
Article
Engineering, Electrical & Electronic
Osama Bin Tariq, Mihai Teodor Lazarescu, Luciano Lavagno
IEEE SENSORS JOURNAL
(2020)
Article
Engineering, Electrical & Electronic
Junnan Shan, Mihai T. Lazarescu, Jordi Cortadella, Luciano Lavagno, Mario R. Casu
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2020)
Article
Computer Science, Hardware & Architecture
Junnan Shan, Mihai T. Lazarescu, Jordi Cortadella, Luciano Lavagno, Mario R. Casu
Summary: The study introduces a method to efficiently map multi-kernel pipelined applications on multi-FPGA platforms to maximize application throughput. It proposes a mixed-integer nonlinear optimization problem to find the optimal solution, but also provides a fast heuristic method which has been shown to be more efficient in finding comparable results.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2021)
Article
Computer Science, Information Systems
Mihai T. Lazarescu, Pooya Poolad
Summary: To enhance railway efficiency, researchers propose a wireless sensor network design for low-power timely train integrity reporting, with each train coupling redundantly monitored by four sensors. Energy-optimized configurations show successful delivery of over 95% of reports for a 50-car train in 3.6 seconds, even with communication or node failures. Qualitative test results for a 20-node network in various conditions are also reported.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Hardware & Architecture
Junnan Shan, Mihai T. Lazarescu, Jordi Cortadella, Luciano Lavagno, Mario R. Casu
Summary: The study introduces a model to reduce energy consumption when FPGAs are underutilized and uses heuristic optimization methods to improve the quality of results and significantly accelerate the solving speed.
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Giorgia Subbicini, Luciano Lavagno, Mihai T. Lazarescu
Summary: This paper proposes a new slope modulation differential capacitance measurement method for long-range measurement of single-plate capacitive sensors. The method uses a constant oscillation period and compares the slopes of adjacent voltage ramps to reject noise interference and improve sensitivity.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Information Systems
Nasir Ali Shah, Mihai T. Lazarescu, Roberto Quasso, Luciano Lavagno
Summary: In this paper, the authors propose an efficient implementation of a 3GPP 3D channel model for GPU platforms to minimize the computational time required for channel simulation in 5G NR networks. Several CUDA-based optimization techniques are used to exploit the parallelism and memory hierarchy of the GPU, resulting in a significant speedup compared to traditional CPU-based simulation.
Article
Computer Science, Information Systems
M. Usman Jamal, Zhuowei Li, Mihai T. Lazarescu, Luciano Lavagno
Summary: High-level synthesis (HLS) is a solution for rapid prototyping of application-specific hardware using the C/C++ behavioral programming language. Designers can optimize hardware implementations using HLS directives to make trade-offs between cost and performance. However, the lack of reliable quality of results (QoR) estimates in current HLS tools hampers efficient decision-making in design optimization.
Proceedings Paper
Engineering, Electrical & Electronic
Giorgia Subbicini, Luciano Lavagno, Mihai T. Lazarescu
Summary: Indoor human monitoring is important for various applications, but faces challenges with sensor noise and signal processing. This study explores the use of capsule networks and temporal convolutional networks to optimize neural network architectures and improve the accuracy and resource efficiency of indoor human localization and tracking.
2023 9TH INTERNATIONAL WORKSHOP ON ADVANCES IN SENSORS AND INTERFACES, IWASI
(2023)
Article
Computer Science, Information Systems
Filippo Minnella, Jordi Cortadella, Mario R. Casu, Mihai T. Lazarescu, Luciano Lavagno
Summary: Flip-flops are commonly used in synchronous circuits, but designs based on latches can be more efficient in terms of frequency and area. The Mix & Latch methodology proposes a single clock tree and a mixed distribution of positive-and negative-edge-triggered flops, and positive-and negative-level-sensitive latches to increase the operating frequency of synchronous digital circuits. The technique is validated using a 28 nm CMOS FDSOI technology, achieving significant improvements in operating frequency and circuit area.
Article
Computer Science, Information Systems
Nasir Ali Shah, Mihai T. Lazarescu, Roberto Quasso, Salvatore Scarpina, Luciano Lavagno
Summary: This paper proposes an efficient re-configurable implementation of the 3DSCM on FPGAs using a design flow based on HLS. By using parallelization and platform-specific optimization techniques, it achieves higher performance than CPU and GPU, while reducing energy consumption.
Article
Computer Science, Information Systems
Giovanni Brignone, M. Usman Jamal, Mihai T. Lazarescu, Luciano Lavagno
Summary: In this paper, we propose an automated FPGA memory management system through a configurable C++ source-level cache in Xilinx Vitis HLS. Our experimental results show that our cache significantly speeds up the execution of various benchmarks compared to the default HLS solution, while requiring limited optimization effort.
Article
Computer Science, Information Systems
Osama Bin Tariq, Junnan Shan, Georgios Floros, Christos P. Sotiriou, Mario R. Casu, Mihai Teodor Lazarescu, Luciano Lavagno
Summary: Customized programmable platforms like FPGAs have become crucial for improving software execution performance. Our proposed high-level back-annotation flow helps developers quickly identify congestion causes at the source level and solve them efficiently.
