Article
Telecommunications
Inam Ullah, Siyu Qian, Zhixiang Deng, Jong-Hyouk Lee
Summary: This paper introduces an EKF-based localization algorithm using edge computing to achieve higher accuracy and wider coverage. Simulation results show that the proposed algorithm is more accurate compared with current state-of-the-art localization algorithms.
DIGITAL COMMUNICATIONS AND NETWORKS
(2021)
Article
Chemistry, Analytical
Jinho Park, Kwangsue Chung
Summary: An edge collaboration scheme based on resource prediction is proposed to improve QoE by estimating computing resource usage, probabilistically collaborating with other edge servers, and achieving high success rate and low completion time.
Article
Computer Science, Theory & Methods
Yiwen Zhang, Jie Pan, Lianyong Qi, Qiang He
Summary: The DEQP2 model is a distributed edge QoS prediction model with privacy protection, employing the Laplace vector mechanism and distributed edge differential privacy algorithm. Experiments conducted on the EdgeQoS dataset showed that the DEQP2 model provides measurable privacy preservation without significantly reducing accuracy.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Ahmed Samy Moursi, Nawal El-Fishawy, Soufiene Djahel, Marwa Ahmed Shouman
Summary: This paper proposes a system for monitoring and predicting PM2.5 concentration using IoT and ML algorithms, which can run on both cloud and edge devices. Performance evaluation shows that NARX/LSTM performs the best, while NARX/XGBRF achieves the best balance between accuracy and speed on the Raspberry P-i.
COMPLEX & INTELLIGENT SYSTEMS
(2021)
Article
Chemistry, Analytical
Hikmat Yar, Ali Shariq Imran, Zulfiqar Ahmad Khan, Muhammad Sajjad, Zenun Kastrati
Summary: Smart home applications have become popular due to IoT technology, making homes more convenient, efficient, and secure. Our research proposes a cost-effective solution for smart home automation using Raspberry Pi, allowing remote and automatic control of home appliances while ensuring customer privacy.
Article
Computer Science, Theory & Methods
Aslinda Hassan, Haniza Nahar, Wahidah Md Shah, Azlianor Abd-Aziz, Sarah Afiqah Sahiran, Nazrulazhar Bahaman, Mohd Riduan Ahmad, Isredza Rahmi A. Hamid, Muhammad Abu Bakar Sidik
Summary: This study investigates the capability of Raspberry Pi as an edge processing device for predicting flash flood locations caused by lightning strikes. The experiment shows that Raspberry Pi performs well in the real-time collection and processing of lightning signals.
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
(2022)
Article
Chemistry, Analytical
Frank Sepulveda, Joseph Soloman Thangraj, Jay Pulliam
Summary: Recent technological advances have made the development of sensor networks for remote environmental monitoring easier and cheaper. However, there are still challenges in acquiring, transmitting, storing, and processing remote environmental data. Edge computing offers a solution by placing substantial storage and computing resources at the edge of the network, reducing the burden on centralized systems.
Article
Computer Science, Information Systems
Redowan Mahmud, Adel N. Toosi
Summary: Edge and Fog computing paradigms offer computing resources closer to data sources, overcoming the limitations of cloud-centric execution. Small single-board computers like Raspberry Pis are widely used in these paradigms, making them suitable for IoT-driven operations. However, these devices are constrained in facilitating multitenancy and resource sharing. To address this, a fully distributed framework named Con-Pi is proposed, which utilizes containerization and Docker containers to manage resources in Edge and Fog environments. Experimental results demonstrate that Con-Pi outperforms other frameworks in terms of response time, energy usage management, and computing resource allocation. Additionally, Con-Pi has been successfully applied to develop a practical pest bird deterrent system for IoT-enabled applications, such as smart agriculture.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Automation & Control Systems
Manjur Kolhar, Mohammed Misfer
Summary: This paper explores the combination of machine learning and cloud computing to protect patient data privacy. The experiments showed that machine learning algorithms can effectively classify cardiac patients, and the use of IoT devices and ring signatures ensures the security of medical reports.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
Hongling Liu, Yuqiang Chen
Summary: This paper highlights the importance of using blockchain technology in the Internet of Things manufacturing. It proposes a blockchain architecture that divides the traditional blockchain into private and public parts, reducing space and network costs. Each workshop maintains its own private blockchain, while the cloud manages the public blockchain, minimizing communication between nodes. Experimental results show that this architecture effectively predicts the space cost of node expansion and reduces network communication overhead.
Article
Environmental Sciences
Zhengyu Yu, Zenon Chaczko, Jiajia Shi
Summary: This paper presents a novel error modelling approach based on the curve fitted Kalman filter algorithm to improve the accuracy and precision of ultra-wideband (UWB) localization.
Article
Computer Science, Information Systems
Aya M. Kishk, Mahmoud Badawy, Hesham A. Ali, Ahmed Saleh
Summary: Real-time traffic congestion prediction strategy (TCPS) proposed in this paper, based on data collected at the edge layer, outperforms other recent methodologies by providing the highest accuracy, precision, and recall rates, as well as the lowest error rate. The TCPS contains three stages to predict congestion, detect congestion direction, and make width change decisions to prevent congestion. Experimental results demonstrate the effectiveness and superiority of the proposed TCPS in traffic management systems.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2022)
Article
Computer Science, Information Systems
Quy Vu Khanh, Nam Vi Hoai, Anh Dang Van, Quy Nguyen Minh
Summary: History has shown that healthcare and medical systems are crucial for the advancement of science and technology. In the past decades, there has been an explosive growth of ehealth applications, with cloud computing dominating e-healthcare systems and various domains. However, the high response time of cloud-based e-health systems presents a primary barrier.
INTERNET OF THINGS
(2023)
Article
Computer Science, Information Systems
Waheb A. Jabbar, Chong Wen Wei, Nur Atiqah Ainaa M. Azmi, Nur Aiman Haironnazli
Summary: Parking slots shortage in urban areas and on campus can be mitigated by the introduction of a smart parking management system which helps increase parking space utilization, decrease management costs, and alleviate traffic congestion.
INTERNET OF THINGS
(2021)
Article
Computer Science, Information Systems
Seonri Hong, Moses Kang, Hwapyeong Park, Jonghoon Kim, Jongbok Baek
Summary: This study assesses the functionality and hardware performance of BMS, using a practical approach of testing with embedded boards. SOC estimation method with EKF and UKF were applied, where EKF is cost-effective but error-prone under noise interference, while UKF shows high accuracy and noise robustness but with high resource occupancy.