Article
Computer Science, Information Systems
Sangrez Khan, A. Naseem Alvi, M. Awais Javed, Safdar H. Bouk
Summary: This paper proposes an Enhanced Superframe offering Adaptive Duty cycle (ESAD) to meet the adaptive data traffic requirements of hierarchical Wireless Sensor Networks. The ESAD adjusts the active period according to requested data, halves the actual size of GTS, and applies the shortest job first algorithm to scrutinize requested GTS nodes, which increases link utilization, improves data transmission, reduces delay, and allows more nodes to transfer their data in a specified superframe.
COMPUTER COMMUNICATIONS
(2021)
Article
Chemistry, Analytical
Nicolas Lopez-Vilos, Claudio Valencia-Cordero, Cesar Azurdia-Meza, Samuel Montejo-Sanchez, Samuel Baraldi Mafra
Summary: Jamming attacks in WSNs significantly impact system performance metrics, with constant and reactive strategies affecting goodput, PRR, and energy efficiency. The experimental testbed results demonstrate a degradation in system performance with an increase in interferers, especially under reactive strategies.
Article
Computer Science, Information Systems
Xia Cheng, Mo Sha
Summary: In recent years, there has been a rapid adoption of low-power Wireless Sensor-Actuator Networks (WSANs) in process industries. However, the current approaches to autonomous transmission scheduling for industrial WSANs fail to consider the traffic loads of different devices, compromising the network performance. In this article, a novel Autonomous Traffic-Aware transmission scheduling method called ATRIA is introduced, which improves network reliability and reduces latency without introducing additional overhead.
ACM TRANSACTIONS ON SENSOR NETWORKS
(2023)
Article
Engineering, Electrical & Electronic
Hamid Rahimian Kalatehbali, Majid Nabi, Seok-Bum Ko
Summary: The TSCH hardware accelerator optimizes the workload of the embedded processor and reduces power consumption in IEEE 802.15.4 communication. It controls the transceiver efficiently, reduces interrupt callbacks, and releases resources for the embedded processor, allowing the use of cheaper processors or lower clock speeds to achieve lower power consumption.
MICROELECTRONICS JOURNAL
(2022)
Article
Chemistry, Analytical
Michael Rethfeldt, Tim Brockmann, Benjamin Beichler, Christian Haubelt, Dirk Timmermann
Summary: WLAN mesh networks, a key technology for smart city applications, face scalability limitations which can be addressed by partitioning the network into clusters with smaller collision and broadcast domains through a divide-and-conquer scheme.
Article
Engineering, Electrical & Electronic
Cheng Chen, Hao Song, Qinghua Li, Francesca Meneghello, Francesco Restuccia, Carlos Cordeiro
Summary: Wi-Fi radio signals are not only used for data transmissions, but also for sensing and identifying changes in the environment. The IEEE 802.11 bf Task Group aims to develop a new amendment to support Wi-Fi sensing in all spectrum bands, including sub-7 GHz and 60 GHz millimeter-wave bands.
IEEE COMMUNICATIONS MAGAZINE
(2023)
Article
Computer Science, Information Systems
Muhammad Ali Siddiqi, Georg Hahn, Said Hamdioui, Wouter A. Serdijn, Christos Strydis
Summary: A Medical Body Area Network is a collection of medical devices located inside or around the human body that aim to address medical conditions. These devices, which are part of a Wireless Body Area Network, collect, process, and transfer medical data, and in some cases, provide autonomous medical treatment. However, the current security specifications are insufficient for realistic use cases and require further enhancements.
Article
Computer Science, Artificial Intelligence
Erna Hikmawati, Nur Ulfa Maulidevi, Kridanto Surendro
Summary: Decision-making is an essential aspect of human activities, and it often involves conflicting points of view. Data mining techniques, such as association rule mining, support decision-making by identifying interesting relationships in datasets. This study proposes a method to rank rules based on the lift ratio value, which proves to be more effective than the traditional Apriori algorithm.
PEERJ COMPUTER SCIENCE
(2022)
Article
Computer Science, Information Systems
Beom-Su Kim, Babar Shah, Ki-Il Kim
Summary: The article proposes an adaptive scheduling and power control scheme for multi-objective optimization (MOO) in personalized wireless body area networks (WBANs). By integrating priority-based adaptive scheduling and deep reinforcement learning (DRL) power control, the scheme aims to achieve differentiated quality of service, higher transmission reliability, and improved energy efficiency.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Peiyao Liu, Yang Xu, Jun Liu, Shuwei Chen, Feng Cao, Guanfeng Wu
Summary: The choice of inference rules significantly affects the reasoning capacity of an automated theorem proving system. The standard contradiction separation (S-CS) rule extends binary resolution to a dynamic, multi-clause, contradiction separation inference mechanism. In this study, the S-CS rule is used to develop a fully reusing clause deduction algorithm (FRC algorithm), which is integrated into the architecture of a top ATP system Vampire, creating a single integrated ATP system called V_FRC. Experimental findings show that V_FRC outperforms Vampire in various aspects and successfully solves 46 rating 1 problems in the TPTP benchmark database that cannot be resolved by existing ATP systems.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Interdisciplinary Applications
Ala Khalifeh, Rabi Tanash, Mahmoud AlQudah, Salem Al-Agtash
Summary: The IEEE 802.15.4 standard protocol is widely used in industrial wireless sensor networks due to its low energy consumption and optimal data rate. In this paper, a protocol called EEE-WSN is proposed, which alternates between carrier sense multiple access (CSMA) and time division multiple access (TDMA) modes to optimize efficiency. The protocol demonstrates superior performance in terms of energy consumption, end-to-end delay, and packet loss compared to IEEE 802.15.4.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2023)
Article
Energy & Fuels
Soheil Pouraltafi-kheljan, Mesut Ugur, Efecan Bozulu, Bahadir Can Caliskan, Ozan Keysan, Murat Gol
Summary: This paper develops a microgrid control system based on the IEEE 2030.7 standard, which achieves real-time monitoring and control of the microgrid through a centralized approach, ensuring proper operation during grid-connected and island modes. The system consists of a centralized server and advanced field units, including control functions, communication, database, and user interface modules.
Article
Computer Science, Information Systems
Nikumani Choudhury, Rakesh Matam, Mithun Mukherjee, Jaime Lloret
Summary: The IEEE 802.15.4 standard is widely used in the Internet of Things to define physical layer options and Medium Access Control (MAC) sublayer for low-power devices. Minimizing power consumption is crucial for battery-powered devices. This article presents the limitations of existing power conserving mechanisms and proposes a novel duty-cycling mechanism based on MAC parameters. It also analyzes the role of synchronization schemes in achieving efficient duty-cycles and develops a Markov model for estimating delay and energy consumption.
ACM TRANSACTIONS ON INTERNET TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Glenn Daneels, Carmen Delgado, Robbe Elsas, Eli De Poorter, Steven Latre, Chris Blondia, Jeroen Famaey
Summary: This study explores the simultaneous use of multiple modulations in a TSCH network, introducing the concept of slot bonding to address airtime waste when using modulations with different data rates. Optimization of the TSCH slot bonding problem was achieved using a genetic algorithm, and the scalability advantage of slot bonding in challenging industrial environments was demonstrated through extensive simulation experimentation.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Hardware & Architecture
Ryota Horiuchi, Kohei Tomita, Nobuyoshi Komuro
Summary: This paper proposes a dynamic superframe duration adaptation scheme based on the Markov chain-based analysis methods for IEEE 802.15.4 beacon-enabled protocol. It can address the issue of handling dynamic changes in the number of sensor nodes and data rates in WSNs.
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
(2022)
Article
Computer Science, Interdisciplinary Applications
David Kerins, Brendan O'Flynn, Salvatore Tedesco, Zaffar Haide Janjua
Summary: This paper aims to develop a model that accurately predicts multiple medical conditions by incorporating expert knowledge in the feature engineering process. Using ambulatory blood pressure monitoring, the goal is to train a model with a minimum set of effective knowledge-driven features to detect multiple symptoms simultaneously.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Chemistry, Analytical
Abu Sadat Md. Sayem, Roy B. V. B. Simorangkir, Karu P. Esselle, Ali Lalbakhsh, Dinesh R. Gawade, Brendan O'Flynn, John L. Buckley
Summary: This paper presents a circularly polarized flexible and transparent circular patch antenna suitable for body-worn wireless communications. The performance of the antenna is compared with a non-transparent counterpart, highlighting the suitability of the proposed materials. Detailed numerical and experimental investigations verify the proposed design, and the compatibility of the antenna in wearable applications is evaluated by testing its performance on a forearm phantom and calculating the specific absorption rate (SAR).
Article
Rehabilitation
Dimitrios-Sokratis Komaris, Georgia Tarfali, Brendan O'Flynn, Salvatore Tedesco
Summary: This study aims to evaluate the execution of home-based physical therapy programs using wearable sensors and metrics, and promote new tools and methods. The results show that participants performed similarly at home compared to the lab, but at a faster pace, indicating the need for a wearable system with user feedback to set the pace.
BMC SPORTS SCIENCE MEDICINE AND REHABILITATION
(2022)
Review
Chemistry, Analytical
Hafiz Husnain Raza Sherazi, Dimitrios Zorbas, Brendan O'Flynn
Summary: There has been a surge in research on Internet of Things (IoT) devices, covering a wide range of applications in various domains. These battery-powered devices are expected to last for extended periods and energy harvesting technologies have been introduced to mitigate energy issues. Radio Frequency (RF) energy harvesting is a promising approach, utilizing ambient and dedicated radio waves to collect energy. However, there is a lack of consolidated domain knowledge and unreported research challenges in RF power harvesting systems. This article provides an overview of RF power harvesting techniques, surveys the literature on factors affecting performance, and highlights the limitations and future directions in RF powered networks.
Review
Engineering, Biomedical
Gustavo Coelho Rezende, Brendan O'Flynn, Conor O'Mahony
Summary: Venous leg ulcers are commonly treated by applying compression to the lower limb, but traditional compression therapies have issues. The development of smart compression therapy devices using microtechnologies and new materials has the potential to improve patient comfort and treatment outcomes.
ADVANCED HEALTHCARE MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
George Paterakis, Eoghan Vaughan, Dinesh R. Gawade, Richard Murray, George Gorgolis, Stefanos Matsalis, George Anagnostopoulos, John L. Buckley, Brendan O'Flynn, Aidan J. Quinn, Daniela Iacopino, Costas Galiotis
Summary: Ultra-sensitive and responsive humidity sensors were fabricated by depositing graphene oxide on laser-induced graphene electrodes. The sensors exhibited high sensitivity, stability, and fast response/recovery times, and showed comparable performance to commercial humidity sensors.
Article
Agriculture, Dairy & Animal Science
Marinara Marcato, Jennifer Kenny, Ruth O'Riordan, Conor O'Mahony, Brendan O'Flynn, Paul Galvin
Summary: This article provides a comprehensive overview of methods for evaluating the suitability of trainee dogs for assistance and guide work. It covers selection and training methods, behavior assessment methods, and physiological assessment methods. The article emphasizes the importance of understanding the connection between behavior and physiology and encourages further research in this area. It also recommends collaboration between assistance dog organizations and researchers to design new assessment protocols.
APPLIED ANIMAL BEHAVIOUR SCIENCE
(2022)
Review
Materials Science, Multidisciplinary
Anindya Nag, Roy B. V. B. Simorangkir, Dinesh R. Gawade, Suresh Nuthalapati, John L. Buckley, Brendan O'Flynn, Mehmet Ercan Altinsoy, Subhas Chandra Mukhopadhyay
Summary: This paper presents a comprehensive review on the use of graphene for developing wearable temperature sensors. Flexible temperature sensors using various polymers and nanomaterials have been fabricated and widely used to detect temperature over a wide range in biomedical and industrial applications. Graphene, with its exceptional electrical, mechanical, and thermal properties, has been extensively employed for the development of wearable temperature sensors. The paper highlights significant works and suggests possible remedial steps to address the challenges in the current literature.
MATERIALS & DESIGN
(2022)
Article
Chemistry, Analytical
Liudmila Khokhlova, Dimitrios-Sokratis Komaris, Salvatore Tedesco, Brendan O'Flynn
Summary: This study evaluated the reliability of acoustic emission (AE) measurements on the knee during physical activities. The results showed that maintaining movement consistency and minimizing the influence of motion artifacts are crucial for improving test reliability.
Article
Computer Science, Information Systems
Kankana Paul, Dinesh R. Gawade, Roy B. V. B. Simorangkir, Brendan O'Flynn, John L. Buckley, Andreas Amann, Saibal Roy
Summary: This article presents the design and fabrication of a resonant vibration energy harvester (VEH) that can provide a sustainable power source for wireless devices. The VEH has a compact size and high power density, and its feasibility in supporting near field communication (NFC)-based wireless sensor platforms is demonstrated. The study also shows that the VEH can enhance the wireless communication range for the NFC sensor nodes. This high-performance energy harvester-assisted NFC sensor node has the potential to be applied in various Internet of Things (IoT) platforms as an efficient power solution.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Multidisciplinary Sciences
Marinara Marcato, Salvatore Tedesco, Conor O'Mahony, Brendan O'Flynn, Paul Galvin
Summary: The study aimed to design a new posture estimation system specifically for working dogs using Inertial Measurement Units (IMUs) and a supervised learning algorithm. Data were collected during behavior tests, and advanced feature extraction techniques were employed. The importance of different IMUs, sensors, and feature types was analyzed, and adding IMUs to the chest and back of dog harnesses was recommended. The best classifier achieved better performance than previous studies, attributed to the data collection methodology and novel machine learning techniques used.
Article
Engineering, Biomedical
Liudmila Khokhlova, Dimitrios-Sokratis Komaris, Nikolaos Davarinos, Karuppiah Mahalingam, Brendan O'Flynn, Salvatore Tedesco
Summary: This pilot study aimed to evaluate progressive cartilage damage in knee joints using acoustic emission (AE) monitoring. The study identified suitable metrics and optimal frequency range and sensor placement for assessing the damage. The results showed that parameters including hit amplitude, signal strength, and absolute energy in the lower frequency range were effective in distinguishing intact and damaged knee joints. The findings also suggested that the medial condyle area of the knee was less affected by artifacts and unsystematic noise. Multiple reopenings of the knee compartment during the damage introduction process had a negative impact on measurement quality.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Agriculture, Dairy & Animal Science
Marinara Marcato, Salvatore Tedesco, Conor O'Mahony, Brendan O'Flynn, Paul Galvin
Summary: This study compared the use of two rating questionnaires, the C-BARQ and MCPQ-R, in predicting training outcomes for assistance dogs. The results showed that both questionnaires achieved similar performance in predicting training outcomes. The study also demonstrated that the MCPQ-R is a reliable method for assessing canine behavior and estimating future outcomes in trainee dogs.
APPLIED ANIMAL BEHAVIOUR SCIENCE
(2023)
Proceedings Paper
Engineering, Multidisciplinary
Salvatore Tedesco, Sebastian Scheurer, Kenneth N. Brown, Liam Hennessy, Brendan O'Flynn
Summary: This paper provides an up-to-date survey of the state-of-the-art in machine learning for injury predictions in sports, and discusses the future research challenges.
2022 IEEE INTERNATIONAL WORKSHOP ON SPORT TECHNOLOGY AND RESEARCH (IEEE STAR 2022)
(2022)
Article
Computer Science, Information Systems
Salvatore Tedesco, Oscar Manzano Torre, Marco Belcastro, Pasqualino Torchia, Davide Alfieri, Liudmila Khokhlova, Sokratis Dimitrios Komaris, Brendan O'flynn
Summary: This paper presents a novel platform, SKYRE, for the remote assessment of patients undergoing knee rehabilitation. The platform utilizes multiple sensing technologies to achieve real-time objective assessment and provide guidance. The validation shows that the system presents reliable results, making it a valid alternative for patients and clinicians.
