Article
Engineering, Electrical & Electronic
Jun Yang, Wu Lv
Summary: This paper designed a sports training system using wireless sensor network technology, with hardware and software systems for real-time collection and analysis of motion parameters. Testing showed the system met training needs, and improvements in balance and motion were effectively evaluated using various metrics.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Civil
Lei Zhang, Tingting Liu, Xuefeng Ding
Summary: In this paper, a novel resource scheduling algorithm for WSNs is proposed based on differential ion coevolution and multi-objective decomposition. By introducing mobile nodes as relay nodes and building a multi-index evaluation model, the performance of WSNs is effectively optimized using a multi-objective decomposition strategy and differential ion coevolution strategy.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Yadong Gong, Guoming Lai
Summary: In this paper, a centralized clustering protocol called Low-Energy Dynamic Clustering (LEDC) is proposed to enhance the energy efficiency in query-based wireless sensor networks (WSNs). LEDC utilizes prediction-based scheme and centralized optimal dynamic cluster formation algorithms to match the distribution of clusters with that of query targets, and suggests an energy-aware forwarding strategy and a parallel processing algorithm to improve energy efficiency and network throughput.
IEEE SENSORS JOURNAL
(2022)
Article
Multidisciplinary Sciences
Muhammad Talha Rahim, Awais Khan, Uman Khalid, Junaid ur Rehman, Haejoon Jung, Hyundong Shin
Summary: Quantum secure metrology protocols utilize quantum effects to achieve enhanced precision and security in probing remote systems. This paper proposes a QSM scheme that employs Bell pairs for unconditional security and offers precision scaling beyond the standard quantum limit. The comparative analysis demonstrates the superiority of the controlled encoding strategy over the parallel encoding of multi-partite entangled states in terms of parameter secrecy. Additionally, a trade-off relationship between maximum achievable precision and security under limited resource availability is identified and characterized. The dynamic scalability of the proposed protocol makes it suitable for large-scale network sensing scenarios.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Information Systems
Mu He, Jian Shu
Summary: The paper proposes a link quality estimation model based on deep forest in wireless sensor networks. By combining stratified sampling with cascade forest, the feature extraction performance is improved, leading to better estimation accuracy and stability of link quality.
Article
Computer Science, Information Systems
Huaguang Shi, Meng Zheng, Wei Liang, Jialin Zhang, Ke Wang, Shuai Liu
Summary: This article investigates transmission scheduling with order constraints in WIA-FA-based AGV systems and proposes the DELTA algorithm, which outperforms existing works in terms of transmission reliability.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Jing Wang, Li Cheng, Yuanfei Tu, Shenkai Gu
Summary: In this paper, a new distributed localization approach called ASPI is proposed for irregular networks. The method consists of three phases: anchor segmentation boarder construction, convex hull identification, and projection-based localization. Experimental results show that ASPI outperforms other existing solutions in terms of accuracy and complexity in irregular-shaped networks.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Heejung Byun, Jungmin So
Summary: This research proposes a distributed control approach that uses a potential field to improve tracking performance and avoid collisions in wireless sensor networks with mobile collectors. Theoretical analysis and simulation results show that the proposed method outperforms existing methods in terms of tracking error, collision rate, system stability, and convergence.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Automation & Control Systems
Liwei An, Guang-Hong Yang
Summary: This article investigates a data-based distributed sensor scheduling algorithm for a wireless sensor network, which allows multiple sensor nodes to monitor different linear systems and transmit measured information over a shared wireless channel. Through the introduction of a distributed minimum subset extraction mechanism, the algorithm provides an approximate solution to minimize the H(infinity) performance index of the closed-loop system without requiring system parameter knowledge. Under sufficiently rich disturbances, the algorithm converges to the exact optimal solution.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Engineering, Electrical & Electronic
Niayesh Gharaei, Yasser D. Al-Otaibi, Sabit Rahim, Hassan J. Alyamani, Naveed Ali Khan Kaim Khani, Sharaf Jameel Malebary
Summary: In Surveillance Wireless Sensor Networks (SWSN), energy efficiency is a major concern due to limited battery capacity and harsh network accessibility. Wireless Rechargeable Sensor Networks (WRSN) have been proposed to address energy constraints, with Wireless Mobile Chargers (WMC) responsible for recharging sensor nodes. The proposed Broker-based Nodes Recharging Scheme (BNRS) introduces power banks as brokers to improve network lifetime and performance of SWSN.
IEEE SENSORS JOURNAL
(2021)
Review
Computer Science, Information Systems
Qianao Ding, Rongbo Zhu, Hao Liu, Maode Ma
Summary: Machine learning technology has demonstrated unique advantages in various fields, particularly in the context of wireless sensor networks. Traditional green routing algorithms face limitations such as poor flexibility and reliance on accurate mathematical models. By integrating multiple factors and adapting to environmental changes, ML techniques can offer new ideas for intelligent and energy-efficient routing algorithms in WSNs.
Article
Engineering, Electrical & Electronic
Chen Quan, Saikiran Bulusu, Baocheng Geng, Yunghsiang S. Han, Nandan Sriranga, Pramod K. Varshney
Summary: This paper investigates the impact of additive Byzantine attacks on the performance of an ordered transmission system and analyzes the performance of a communication efficient ordered transmission system under attack.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2023)
Article
Computer Science, Information Systems
Ahmed Aziz, Walid Osamy, Ahmed M. Khedr, Ahmed Salim
Summary: Compressive Sensing (CS) is a widely used sampling theory in signal processing due to its simplicity and efficiency. In this paper, an Adaptive Iterative Forward-Backward Greedy Algorithm (AFB) is proposed to address the challenge of signal reconstruction in CS. AFB algorithm improves the reconstruction performance by solving the least squares problem in the forward phase and refining the selection process. The simulation results demonstrate that AFB outperforms other algorithms in reducing reconstruction error.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Chao Wang, Lin Tang, Meng Zhou, Yinfan Ding, Xueyong Zhuang, Jie Wu
Summary: This paper proposes a conceptual verification module using Wi-Fi signals to identify human fall behavior based on the indoor propagation theory of wireless signals. It combines digital signal processing technology and machine learning technology to analyze and process the channel state information (CSI) data of wireless signals. The module has the advantages of noninvasiveness, robustness, universality, and low price, and experimental results show an average accuracy of over 90% for fall detection based on wireless sensing.
TSINGHUA SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Mohammed Ramadan, Shahid Raza
Summary: Wireless Body Area Network (WBAN) offers significant benefits for remote healthcare and can limit the spread of COVID-19. In this article, a secure WBAN-19 telemedicine system is proposed, which ensures privacy and confidentiality requirements for contagious diseases, while maintaining high performance.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Management
Naila Fares, Jaime Lloret, Vikas Kumar, Guilherme F. Frederico, Anil Kumar, Jose Arturo Garza-Reyes
Summary: This study analyzed the resilience of customer demand management post-COVID-19, using fast fashion as an example. The results revealed that maintaining customer loyalty is the highest priority, followed by e-commerce endorsement, a customer-focused assortment of items, and flexible store operations.
BENCHMARKING-AN INTERNATIONAL JOURNAL
(2023)
Article
Computer Science, Information Systems
Ritesh Yaduwanshi, Sushil Kumar, Arvind Kumar, Omprakash Kaiwartya, Deepti Deepti, Mohammad Aljaidi, Jaime Lloret
Summary: This paper proposes an efficient geocast routing (EGR) approach for highway IoV-traffic environment considering the shadowing fading condition. EGR utilizes a temporal link quality model and geometrical localization to solve the GPS outage problem and selects the next forwarding vehicle from the forward region based on temporal link quality for geocast routing. Simulation results show that EGR outperforms existing approaches in handling wireless communication link breakage and throughput issues in highway traffic environment, as well as ensuring faster message delivery.
Article
Computer Science, Information Systems
Khalid Haseeb, Fahad A. Alzahrani, Mohammad Siraj, Zahid Ullah, Jaime Lloret
Summary: This paper proposes an algorithm for mobile networks using fog computing to reduce network disconnectivity and improve energy efficiency. The algorithm transmits aggregated data using adjustable transmission power and reduces data load among devices with the support of fog nodes and a secured authentication scheme. Simulation experiments demonstrate the significance of the proposed algorithm in enhancing performance.
Article
Computer Science, Information Systems
Amjad Mehmood, Zeeshan Iqbal, Arqam Ali Shah, Carsten Maple, Jaime Lloret
Summary: The use of UAVs in search and rescue operations has been found to be highly advantageous. This article focuses on deploying a UAV network with a long battery life and complete coverage of the disaster area. The proposed intelligent cluster-based multi-unmanned aerial vehicle (ICBM-UAV) protocol allows for efficient communication and the quick discovery of victims through clustering techniques, reducing workload and improving network life.
Article
Computer Science, Theory & Methods
Fasee Ullah, Chi-Man Pun, Omprakash Kaiwartya, Ali Safaa Sadiq, Jaime Lloret, Mohammed Ali
Summary: This paper proposes a healthcare IoT data privacy trust management framework called HIDE, which encrypts and decrypts sensory data using patients' attributes to ensure data privacy in cloud storage. The framework also prevents data duplication by using intelligent object pointers and develops a content-based emergency data access control to monitor multiple patient health criticalities. Security analysis and experimental evaluation confirm the advantages of the proposed HIDE framework in terms of security and privacy metrics.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Article
Engineering, Electrical & Electronic
Jaganathan Logeshwaran, Nallasamy Shanmugasundaram, Jaime Lloret
Summary: This paper proposes an intelligent and energy-efficient resource optimization model for device-to-device (D2D) communication. By allocating resources in an efficient manner, it helps reduce energy consumption, extend device lifespan, and decrease communication cost and environmental impact.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Vinoth Kumar Krishnamoorthy, Usha Nandini Duraisamy, Amruta S. Jondhale, Jaime Lloret, Balaji Venkatesalu Ramasamy
Summary: This paper introduces an indoor object tracking method using received signal strength indicator (RSSI) measurements and wireless sensor network (WSN). The author proposes a range-free radial basis function neural network (RBFN) and Kalman filtering (KF) based algorithm named RBFN+KF to reduce the location estimation errors caused by random variations in RSSI measurements. The simulation results show that the RBFN+KF algorithm achieves lower location estimation errors compared to trilateration, multilayer perceptron (MLP), and RBFN-based estimations. Additionally, it is also observed that the RBFN-based approach is more energy efficient than trilateration and MLP-based localization approaches.
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
(2023)
Article
Chemistry, Analytical
Sandra Viciano-Tudela, Lorena Parra, Paula Navarro-Garcia, Sandra Sendra, Jaime Lloret
Summary: This article proposes a new system for characterizing essential oils using low-cost sensor networks and machine learning techniques. The study found that using k-nearest neighbors algorithm, the accuracy, recall, F1-score, and precision values for identifying essential oils were 1, 0.99, 0.99, and 1, respectively.
Article
Chemistry, Analytical
Lorena Parra, Sandra Viciano-Tudela, David Carrasco, Sandra Sendra, Jaime Lloret
Summary: The paper presents a low-cost multiparametric probe that can be deployed in coastal areas and integrated into a wireless sensor network. The probe is composed of physical sensors capable of measuring water temperature, salinity, and total suspended solids (TSS). Calibration results show no effect of temperature on the sensors and no interference of salinity in the measuring of TSS or vice versa. The calibration models for salinity and TSS show good correlation coefficients and low mean absolute errors.
Article
Computer Science, Interdisciplinary Applications
Naila Fares, Jaime Lloret, Vikas Kumar, Guilherme F. Frederico
Summary: This study analyzes the operations of two synchronized channels in fast-fashion retail, focusing on the buy online and return in store (BORS) strategies. The authors use a combination of techniques, including SWOT analysis, AHP, and fuzzy VIKOR, to identify the factors affecting BORS. The study identifies 21 factors, with the opportunity for a better shopping experience in the fitting room ranked as the most important factor. The study provides practical implications for effective managerial decision-making for fast-fashion retailers.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
(2023)
Article
Business
Naila Fares, Jaime Lloret, Vikas Kumar, Sander de Leeuw, Liz Barnes
Summary: This study examines the challenges of multi-tier supply chains and proposes a mathematical model to support decision-makers in formulating supply chain policies. The model takes into account the social, environmental, and economic constraints through corporate social responsibility considerations. The research findings demonstrate the importance of considering social aspects in addition to economic impact, particularly in situations with high environmental costs and low return on investment. The mathematical model is efficient in optimizing the distribution network of the entire supply chain while considering CSR concerns. This study contributes to the advancement of multi-tier supply chain optimization and provides practical insights for distribution decisions.
CORPORATE SOCIAL RESPONSIBILITY AND ENVIRONMENTAL MANAGEMENT
(2023)
Article
Computer Science, Hardware & Architecture
Amjad Rehman, Ibrahim Abunadi, Khalid Haseeb, Tanzila Saba, Jaime Lloret
Summary: Artificial intelligence (AI) is experiencing significant growth in the areas of smart cities, agriculture, food management, and weather forecasting, primarily due to the limitations of computing power on sensing devices. The integration of AI with IoT and ubiquitous sensors has led to improvements in the agricultural sector and reduced management costs. However, optimizing resource management and data load for forwarding nodes near edge boundaries remains a challenging issue due to limited wireless technology resources.
COMPUTER STANDARDS & INTERFACES
(2024)
Article
Computer Science, Information Systems
Noor Mast, Shafiullah Khan, M. Irfan Uddin, Yazeed Yasin Ghadi, Hend Khalid Alkahtani, Samih M. M. Mostafa
Summary: With the development of wireless technology, Wireless Ad-hoc Networks (WANETs) have emerged, showing potential in adapting to new networks such as the Internet of Things, Vehicular Ad-hoc Networks, and Wireless Sensor Networks. However, TCP performs poorly in WANETs due to channel contention. This paper presents a mechanism called CSCC to enhance TCP performance in WANETs by adjusting the congestion window size and penalizing flows with larger window sizes.
Article
Computer Science, Hardware & Architecture
Sandra Sendra, Lorena Parra, Jose M. Jimenez, Laura Garcia, Jaime Lloret
Summary: This article proposes the design and implementation of a LoRa-based wireless sensor network for monitoring water quality in coastal areas, rivers, and ditches. The network consists of wireless sensor nodes equipped with various sensors to measure water quality parameters and weather conditions, with the data being sent to a storage database. The aim is to create an observatory that monitors the environment where the network is deployed.
MOBILE NETWORKS & APPLICATIONS
(2023)
