Article
Engineering, Electrical & Electronic
Ahmed M. Khedr, Zaher Al Aghbari, P. V. Pravija Raj
Summary: In this paper, an Enhanced Sparrow Search based Adaptive and Robust Data Gathering Scheme for WSNs (ESRP-MP) is proposed to improve the performance and reduce data gathering latency in wireless sensor networks. By optimizing the selection of Rendezvous Points (RPs) and path planning, this scheme achieves significant improvements in terms of number of RPs, data gathering time, energy utilization, and network lifetime.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Meirong Gao
Summary: This paper improves the traditional ZigBee algorithm to build a smart campus teaching system based on ZigBee wireless sensors. The system's effectiveness is evaluated through experimental research.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Computer Science, Information Systems
Shi Dong, Mudar Sarem, Wengang Zhou
Summary: The energy consumption in wireless sensor networks is limited, with the sink node consuming the most energy. The network lifetime is short, so improving the effective node energy and prolonging the network lifetime have become important issues. This article aims to construct an optimal spanning tree to maximize lifetime, with a new accurately distributed data gathering algorithm-based tree that can extend the lifetime of WSNs compared to existing algorithms.
IEEE SYSTEMS JOURNAL
(2021)
Article
Computer Science, Information Systems
David Martin-Lammerding, Alberto Cordoba, Jose Javier Astrain, Pablo Medrano, Jesus Villadangos
Summary: This article introduces an ontology-based path planning adaptation system integrated into UAS payload for autonomous flight replanning, reducing energy consumption and increasing data throughput of the WSN-UAS network by avoiding unnecessary journeys and improving overall efficiency.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Keiwan Soltani, Leili Farzinvash, Mohammad Ali Balafar
Summary: This paper proposes a Trust-aware and Energy-efficient Data Gathering (TEDG) algorithm for more effective data gathering in Wireless Sensor Networks (WSNs). The algorithm includes all the phases of clustering, tree construction, and watchdog selection, which are modelled as optimization problems and solved using Particle Swarm Optimization (PSO). The simulations show that TEDG significantly improves energy consumption, standard deviation of residual energy, and network lifetime.
Article
Engineering, Electrical & Electronic
Morteza Biabani, Nasser Yazdani, Hossein Fotouhi
Summary: This research presents a data gathering method using a mobile sink in wireless sensor networks. By constructing grid cells and employing rate adaptation strategies, it efficiently collects data from sensors, reducing energy consumption and latency.
IEEE SENSORS JOURNAL
(2022)
Article
Physics, Multidisciplinary
Piotr Kiedrowski
Summary: By equipping smart meter devices with multiple communication modules, the elimination of the Transformer Station Data Concentrator module and the optimization of network architecture are achieved. The introduction of criteria for node selection and the use of graph theory allow for effective management of acquisition and intermediary nodes, enhancing the reliability and performance of the system.
Article
Computer Science, Information Systems
Chih-Lin Hu, Sheng-Zhi Huang, Zhenjiang Zhang, Lin Hui
Summary: The study introduces a scheme utilizing flying ferries for data distribution in large-scaled wireless sensor networks to mitigate physical communication restrictions on the ground. By employing a fair and energy-balanced ferry fleet placement scheme, it ensures fair task assignment, balances energy consumption, and prolongs the lifetime of multiple ferries in teamwork. Performance results demonstrate that the proposed scheme outperforms typical schemes in various aspects such as cumulative energy computation, residual energy distribution, Jain's fairness index, number of alive ferries, and total task execution times during ferry teamwork.
Article
Computer Science, Hardware & Architecture
Vishnuvarthan Rajagopal, Bhanumathi Velusamy, Muralitharan Krishnan, Sakthivel Rathinasamy
Summary: Due to the increasing world population, demand for food products have created the need to modernize and intensify agricultural operations through precision agriculture. This paper proposes an efficient data collection algorithm that improves the network lifetime of the wireless sensor network (WSN), decreases the energy hole issue, and reduces the data collection delay.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
(2023)
Article
Mathematics, Interdisciplinary Applications
Fan Chao, Zhiqin He, Renkuan Feng, Xiao Wang, Xiangping Chen, Changqi Li, Ying Yang
Summary: This paper presents a novel strategy to reduce the latency of mobile data gathering in a WSN while optimizing the routing strategies and tour planning of the mobile sink (MS). The issue of network coverage is discussed first, followed by calculating the appropriate number of clusters. A tour planning of the MS based on prediction is proposed to minimize the traveling distance for data collection. The proposed method is simulated in MATLAB and validated through physical tests on a test rig based on an unmanned aerial vehicle (UAV).
Article
Engineering, Electrical & Electronic
Ahmed Salim, Walid Osamy, Ahmed M. Khedr, Ahmed Aziz, Mohamed Abdel-Mageed
Summary: The paper introduces a new scheme for secure and efficient gathering of IoT data, consisting of Setup, Secure data gathering, and Data reconstruction phases. It utilizes the properties of prime numbers and Bezier curve function to improve power consumption during data transmission and enhance the reconstruction process.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Zhilin Lu, Bing Fan, Jinqi Cai, Liangrui Tang
Summary: This paper proposes a joint routing and charging algorithm (J-RCA) with WCE assisted data gathering, using an improved TOPSIS method to balance node energy consumption, and presenting a two-step charging scheme. Simulation results demonstrate that the algorithm has advantages in prolonging network lifetime and improving transmission reliability.
IEEE SENSORS JOURNAL
(2021)
Review
Chemistry, Analytical
Omer Gurewitz, Mark Shifrin, Efi Dvir
Summary: This paper highlights the significance and challenges of data gathering in wireless sensor networks and IoT networks, pointing out the shortcomings of existing solutions and suggesting directions for future developments.
Article
Computer Science, Interdisciplinary Applications
Muhammad Faheem, Rizwan Aslam Butt, Rashid Ali, Basit Raza, Md Asri Ngadi, Vehbi Cagri Gungor
Summary: Industry 4.0 aims to produce high-quality products at low cost by quickly responding to changing demands, but the harsh indoor industrial environment poses challenges for data transmission. This paper proposes a data gathering approach called CBI4.0, which utilizes a multi-channel and multi-radio architecture to meet quality of service requirements. Simulation experiments show that the proposed scheme outperforms existing studies in controlling and monitoring events in the automobile Industry 4.0.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2021)
Article
Computer Science, Information Systems
Muhammad Rusyadi Ramli, Jae-Min Lee, Dong-Seong Kim
Summary: The HP-MAC protocol is a hybrid medium access control protocol for data gathering in UAV-WSN, which improves fairness among nodes through registration and time slot allocation, enhancing network performance.
INTERNET OF THINGS
(2021)
Article
Computer Science, Information Systems
Sumit Pundir, Mohammad S. Obaidat, Mohammad Wazid, Ashok Kumar Das, Devesh Pratap Singh, Joel J. P. C. Rodrigues
Summary: Internet of Things (IoT) is a rapidly growing technology that connects almost every daily-use item to the Internet, enabling the collection and analysis of large amounts of multimedia data for industrial monitoring and control. However, the communication in IoT-enabled industrial multimedia environment is vulnerable to various types of attacks, highlighting the need for robust mechanisms to detect and prevent malware attacks.
MULTIMEDIA SYSTEMS
(2023)
Article
Computer Science, Information Systems
Siraj Munir, Rauf Ahmed Shams Malick, Syed Imran Jami, Ghufran Ahmed, Suleman Khan, Joel J. P. C. Rodrigues
Summary: This paper explores the application of complex network analysis in knowledge graphs to discover hidden concepts and implicit communities. The research contributes to the design of digital advertising campaigns and prediction of future interactions.
MULTIMEDIA TOOLS AND APPLICATIONS
(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, Theory & Methods
Mohammad Wazid, Ashok Kumar Das, Sachin Shetty, Joel J. P. C. Rodrigues, Mohsen Guizani
Summary: In this paper, an AI-enabled secure communication mechanism in fog computing-based healthcare system has been proposed to protect data security and ensure data integrity in digital healthcare. The proposed mechanism shows superior performance in terms of communication and computation costs, as well as provides enhanced security and additional functionality compared to other existing approaches.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
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
Engineering, Civil
Divya Anand, Aman Singh, Khalid Alsubhi, Nitin Goyal, Atef Abdrabou, Ankit Vidyarthi, Joel J. P. C. Rodrigues
Summary: This paper proposes a cloud-based smart parking architecture that utilizes IoT and cloud computing technology to predict available parking spaces. By collecting car counts and using a predictive algorithm, the method demonstrates superior performance in predicting parking vacancy in actual deployment scenarios.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(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
Engineering, Electrical & Electronic
Jianchen Wang, Sandra Viciano-Tudela, Lorena Parra, Raquel Lacuesta, Jaime Lloret
Summary: This study develops a low-cost system using MQ sensors and Arduino Mega to monitor air quality in different scenarios, and identifies the origin of the data using discriminant analysis and probabilistic neural network. The results show that the proposed system achieves high accuracy in correctly classifying cases.
IEEE SENSORS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Abdulaziz Aldegheishem, Sandra Viciano-Tudela, Lorena Parra, Nabil Alrajeh, Jaime Lloret
Summary: This article proposes a wireless sensor network for monitoring the quality of reclaimed water for irrigation. The system uses sensor nodes and actuator nodes with LoRa technology. It focuses on developing sensors and evaluating the effect of capacitors on the sensor signal. The best configuration is determined based on several parameters, with configuration 3 being selected.
IEEE SENSORS JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Waseem Ullah, Tanveer Hussain, Fath U. Min Ullah, Khan Muhammad, Mahmoud Hassaballah, Joel J. P. C. Rodrigues, Sung Wook Baik, Victor Hugo C. de Albuquerque
Summary: The main challenge faced by video-based real-world anomaly detection systems is accurately learning irregular, complicated, diverse, and heterogeneous unusual events. To address this, a weakly supervised graph neural-network-assisted video anomaly detection framework called AD-Graph is proposed. It extracts 3D visual and motion features and represents them in a language-based knowledge graph format to identify temporal information. It applies a robust clustering strategy to group meaningful neighborhoods of the graph and uses spectral filters and graph theory to detect anomalous events. Extensive experimental results show improvements over state-of-the-art models on challenging datasets.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(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
Suresh Chavhan, Deepak Gupta, Ahmed Alkhayyat, Meshal Alharbi, Joel J. P. C. Rodrigues
Summary: The popularity of electric vehicles has led to the rapid development of charging stations and increased electricity demand. To address existing issues, this study proposes a real-time intelligent method based on artificial intelligence for energy utilization, conservation, and optimal pricing in the power grid and charging stations.
IEEE SYSTEMS JOURNAL
(2023)
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)
