Article
Automation & Control Systems
Harel Yedidsion, Danny Hermelin, Michael Segal
Summary: The paper explores the use of physical autonomous mobile agents to maintain wireless sensor networks efficiently. By optimizing deployment and task allocation strategies, the team aims to minimize solution cost. Results show that cooperation significantly improves performance, with specific algorithms providing improvements in downtime, penalties, and overall costs compared to others.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2021)
Article
Multidisciplinary Sciences
Pankaj Pal, Rashmi Priya Sharma, Sachin Tripathi, Chiranjeev Kumar, Dharavath Ramesh
Summary: This research investigates the impact of vegetation height and density on a wireless sensor network for monitoring wheat crops, focusing on signal strength and connectivity issues in different growth stages. By developing a path loss model and utilizing evolutionary computation, the study successfully enhances signal strength and coverage while addressing network connectivity challenges during wheat crop monitoring.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Electrical & Electronic
Saeed Karimi-Bidhendi, Jun Guo, Hamid Jafarkhani
Summary: This study investigates the optimal deployment problem in a heterogeneous wireless sensor network, including both static and mobile networks. By proposing iterative algorithms, it achieves lower total wireless communication power consumption in the deployment.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Automation & Control Systems
Kawsar Ali, Daniel J. Rogers
Summary: Deploying energy harvesting-based wireless sensor nodes in challenging environments often means lack of control over node placement and orientation. This article introduces a smart WSN that operates independently of placement and orientation, sharing energy and information among cube faces to maximize energy harvesting and signal transmission.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Automation & Control Systems
Zhenyu Lu, Ning Wang, Chenguang Yang
Summary: The paper proposes a topology optimization and iterative parameter identification method to reduce energy consumption and data volume in wireless sensor networks. The consensus and convergence of the identification method are proven, and two simulations demonstrate the effectiveness of the proposed method in practical applications of WSN. The comparative results highlight the importance of data reduction in on-board calculation, communication, and storage.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Engineering, Electrical & Electronic
Hajer Abed, Simon Bellemare-Rousseau, Benjamin Belanger-Huot, Mehran Ahadi, Etienne Drouin, Mourad Roudjane, Marc-Andre Dugas, Amine Miled, Younes Messaddeq
Summary: A new wearable smart T-Shirt design for monitoring breathing rate using Received Signal Strength Indicator (RSSI) is proposed. The design includes a wireless sensor for monitoring breathing rate, a wireless power transfer system, and a user interface for analyzing the collected data. The study presents breathing curves obtained from a breathing sensor incorporated in a smart T-shirt and applies data analysis methods to extract important parameters for medical diagnosis. Additional results are also presented for different tests on male and female subjects using another design of a smart T-shirt system consisting of an array of six sensors.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Jianjun Wen, Waltenegus Dargie
Summary: Self-organizing protocols and algorithms in wireless sensor networks rely on knowledge of the network topology. This paper proposes a dynamic topology construction algorithm for joint deployment networks, where a node carried by a UAV initiates the process and ground nodes direct the network traffic towards the initiator. The approach is collision-tolerant and enables in-network processing, reducing the computation burden of the initiator.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Hardware & Architecture
Mustafa Can Cavdar, Ibrahim Korpeoglu, Oezguer Ulusoy
Summary: This paper focuses on the application of a monitoring point-based shared data approach in wireless sensor networks to serve multiple dynamic applications. Two methods for application deployment are proposed and evaluated through extensive simulation experiments, showing the effectiveness in achieving fast and close-to-optimal deployment of applications over a single network.
Article
Engineering, Electrical & Electronic
Dung H. P. Nguyen, Vinh V. Le, Tu N. Nguyen, Bing-Hong Liu, Shao- Chu, Shi-Ming Hu
Summary: In this article, a practical approach is proposed to utilize public buses for building a vehicular network with attached sensors for air pollution monitoring, aiming to minimize the deployment cost. The problem is formulated as an integer linear programming model based on flow network representation and specific requirements. Additionally, an approximation algorithm and a greedy-based algorithm are suggested to handle large-scale problems and demonstrate their performances through experiments.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Information Systems
Arun Kumar Sangaiah, Ali Shokouhi Rostami, Ali Asghar Rahmani Hosseinabadi, Morteza Babazadeh Shareh, Amir Javadpour, Shirin Hatami Bargh, Mohammad Mehedi Hassan
Summary: Monitoring the concentration of workers and increasing productivity in large factories is crucial. Workforce can be monitored using wireless sensor networks, with optimal energy consumption being essential. Various routing protocols are designed to ensure efficient energy consumption while tracking targets. The proposed energy-efficient routing algorithm GRTT utilizes topological information of sensor nodes for target tracking and coverage applications, showing better results in energy and power consumption compared to other methods.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Theory & Methods
Tariq Alsboui, Yongrui Qin, Richard Hill, Hussain Al-Aqrabi
Summary: Mobile Agent technology benefits Wireless Sensor Networks by saving bandwidth and enabling energy efficient data collection. Itinerary planning is crucial for deploying multiple MAs efficiently. The proposed GSMIP approach, utilizing Directed Acyclic Graph techniques, has shown superior energy efficiency and task delay compared to existing methods.
Article
Automation & Control Systems
Shang Gao, Guiyun Tian, Xuewu Dai, Qing Zhang, Zhiling Wang, Xinge Yang, Qiaomu Wang, Naishu Jia
Summary: This article introduces a lightweight FPGA-based wireless overpressure node for shock wave monitoring. Experimental tests validate its performance in dynamic parameters and network quality, showing lower error rates compared to wired systems.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Article
Chemistry, Multidisciplinary
Murat Dener, Abdullah Orman
Summary: Wireless Sensor Networks (WSNs), as an important part of IoT, consist of sensor nodes with limited processing, memory capacities, and energy. The security of WSNs is often questioned due to the dangers they face in untrusted regions. This study aims to develop a new blockchain-based authentication protocol for WSNs to address the deficiencies in existing authentication protocols and utilize the security characteristics of blockchain.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Theory & Methods
Da-Wen Huang, Fengji Luo, Jichao Bi, Mingyang Sun
Summary: This paper proposes a new IDS deployment architecture for enhancing the security of MCWSNs. The cluster heads and the sink act as IDS agents to monitor and detect intrusions in the entire network. A resource allocation model is introduced to optimize the allocation of resources among the IDS agents to maximize the network's security metric. Extensive simulation and comparison studies are conducted to validate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2022)
Article
Computer Science, Information Systems
Pengju Si, Shuaishuai Wang, Lei Shu, Rui Ning, Zhumu Fu
Summary: The paper introduces a deterministic deployment algorithm for finding the minimum number of sensors required to effectively construct target-barrier coverage in a surveillance region, with extensive experiments showing significant results.
IEEE SYSTEMS JOURNAL
(2021)
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
Engineering, Electrical & Electronic
Chandra Shetty, Youssef Kandeel, Liang Ye, Seamus O'Driscoll, Paul McCloskey, Maeve Duffy, Cian O. Mathuna
Summary: This work presents analytical expressions for the dc inductance of 3-D air-core inductors with different cross-sectional pillars and discusses the effects of high frequency on inductance. The proposed analytical models show good agreement with numerical analysis and measurement results, providing accurate predictions for various inductor structures.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2022)
Article
Chemistry, Physical
Hasan Ahmadian Baghbaderani, Ansar Masood, Kenny L. Alvarez, Daniel Lordan, M. Venkatesan, Cian O. Mathuna, Paul McCloskey, Plamen Stamenov
Summary: In this study, the amorphisation capability of Co-Fe-B alloys fabricated by melt spinning is predicted and evaluated using liquidus temperature, mixing enthalpy, and atomic mismatch factor. The study successfully predicts five amorphous alloy compositions and finds a strong correlation between amorphisation ability and crystallisation behaviour.
JOURNAL OF ALLOYS AND COMPOUNDS
(2022)
Article
Engineering, Electrical & Electronic
Youssef Kandeel, Seamus O'Driscoll, Cian O. Mathuna, Maeve Duffy
Summary: This article presents a new design procedure for fourth order and fourth-order resonance (4thRes) output filters, making component selection a straightforward process for given buck converter specifications. Accurate filter analysis is provided to predict the filter component currents and voltages in both frequency and time domains. Application of the analysis in a design study of a 20 MHz, 5.4 W buck converter shows that the 4thRes filter has the potential to reduce the output passive components for a wide duty cycle range. As compared with a second-order filter at V-IN = 6.6 V to V-OUT = 1.8 V, total inductance, inductor energy, capacitance, and capacitor energy are 58%, 35%, 45%, and 31% lower, respectively. Air-core printed circuit board (PCB) integrated solenoid inductors are considered for implementation and testing within a prototype converter to show the impact of these filters on the converter performance. The 4thRes filter achieved 3.7% and 3.6% higher full-load efficiency than the second- and fourth-order filters, respectively, and a better load transient performance.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
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
Engineering, Electrical & Electronic
Youssef Kandeel, Seamus O'Driscoll, Cian O'Mathuna, Maeve Duffy
Summary: This article analyzes low-power, multiphase interleaved buck converters and investigates the benefits of adding more phases for reducing component sizes. It focuses on a typical converter application with a wide operating duty cycle range and a need for good load transient. The study demonstrates that increasing phase numbers is limited in its theoretical reduction of total inductor peak energy due to the restriction of phase current ripple. Additionally, the article evaluates the advantages of inductor coupling and provides guidelines for selecting coupling factors to avoid inductance roll-off. It showcases the implementation of different inductor types in single- and two-phase buck converter prototypes, highlighting size reduction and lower losses in the two-phase designs.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
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.
Proceedings Paper
Engineering, Electrical & Electronic
Sanjeev Kumar, Roy B. V. B. Simorangkir, Dinesh R. Gawade, Aidan J. Quinn, Brendan O'Flynn, John L. Buckley
Summary: This paper presents an 868 MHz ultra-high frequency bandage-type antenna for wireless body sensor network applications. The proposed antenna achieves a wide bandwidth and desired performance characteristics, making it suitable for various health monitoring applications.
2022 INTERNATIONAL WORKSHOP ON ANTENNA TECHNOLOGY (IWAT)
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Nadeem Rather, Roy B. V. B. Simorangkir, John Buckley, Brendan O'Flynn
Summary: This paper presents a 6-bit chipless RFID tag based on square ring resonators, which is flexible, semitransparent, and biocompatible, suitable for unobtrusive modern wireless identification and monitoring systems.
2022 INTERNATIONAL WORKSHOP ON ANTENNA TECHNOLOGY (IWAT)
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Nadeem Rather, John Buckley, O. Brendan, Melusine Pigeon
Summary: In this paper, a Chipless RFID tag design based on Radar Cross Section (RCS) operating principle is proposed. The tag uses circular ring resonators for tag identification and a calibration technique is demonstrated to improve data detection. The fabricated tag is measured using the monostatic RCS method and the results validate the simulation results, showing accurate detection of the encoded information.
2022 16TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP)
(2022)