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Yushan Li and Satoshi Fujita
This paper proposes a novel event-driven architecture for enhancing edge-based vehicular systems within smart transportation. Leveraging the inherent real-time, scalable, and fault-tolerant nature of the Elixir language, we present an innovative architec...
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Elahe Fazeldehkordi and Tor-Morten Grønli
The Internet of Things (IoT) is an innovative scheme providing massive applications that have become part of our daily lives. The number of IoT and connected devices are growing rapidly. However, transferring the corresponding huge, generated data from t...
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Junxiang Qin, Xiye Guo, Xiaotian Ma, Xuan Li and Jun Yang
Satellites will play a vital role in the future of the global Internet of Things (IoT); however, the resource shortage is the biggest limiting factor in the regional task of massiveequipment in the IoT for satellite service. Compared with the traditional...
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Oluwashina Joseph Ajayi, Joseph Rafferty, Jose Santos, Matias Garcia-Constantino and Zhan Cui
The scale of Internet of Things (IoT) systems has expanded in recent times and, in tandem with this, IoT solutions have developed symbiotic relationships with technologies, such as edge Computing. IoT has leveraged edge computing capabilities to improve ...
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Jianhua Liu and Zibo Wu
The cloud-based Internet of Things (IoT-Cloud) combines the advantages of the IoT and cloud computing, which not only expands the scope of cloud computing but also enhances the data processing capability of the IoT. Users always seek affordable and effic...
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Juyong Lee, Jeong-Weon Kim and Jihoon Lee
The Multi-Access Edge Computing (MEC) paradigm provides a promising solution to solve the resource-insufficiency problem in user mobile devices by offloading computation-intensive and delay-sensitive computing services to nearby edge nodes. However, ther...
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Ryo Fukano and Masato Ishikawa
In science and engineering using edge-embedded software, it is necessary to demonstrate the validity of results; therefore, the software responsible for operating an edge system is required to guarantee its own validity. The aim of this study is to guara...
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Muhammad Habib ur Rehman, Prem Prakash Jayaraman, Saif Ur Rehman Malik, Atta Ur Rehman Khan and Mohamed Medhat Gaber
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Kyoung-Don Kang, Liehuo Chen, Hyungdae Yi, Bin Wang and Mo Sha
In data-intensive real-time applications, e.g., cognitive assistance and mobile health (mHealth), the amount of sensor data is exploding. In these applications, it is desirable to extract value-added information, e.g., mental or physical health condition...
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Kyoung-Don Kang, Liehuo Chen, Hyungdae Yi, Bin Wang and Mo Sha
In data-intensive real-time applications, e.g., cognitive assistance and mobile health (mHealth), the amount of sensor data is exploding. In these applications, it is desirable to extract value-added information, e.g., mental or physical health condition...
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Sepehr Honarparvar, Sara Saeedi, Steve Liang and Jeremy Squires
Emerging deep learning (DL) approaches with edge computing have enabled the automation of rich information extraction, such as complex events from camera feeds. Due to the low speed and accuracy of object detection, some objects are missed and not detect...
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Olivier Debauche, Jean Bertin Nkamla Penka, Saïd Mahmoudi, Xavier Lessage, Moad Hani, Pierre Manneback, Uriel Kanku Lufuluabu, Nicolas Bert, Dounia Messaoudi and Adriano Guttadauria
The aging of the world?s population, the willingness of elderly to remain independent, and the recent COVID-19 pandemic have demonstrated the urgent need for home-based diagnostic and patient monitoring systems to reduce the financial and organizational ...
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Konstantinos Papadakis-Vlachopapadopoulos, Ioannis Dimolitsas, Dimitrios Dechouniotis, Eirini Eleni Tsiropoulou, Ioanna Roussaki and Symeon Papavassiliou
With the advent of 5G verticals and the Internet of Things paradigm, Edge Computing has emerged as the most dominant service delivery architecture, placing augmented computing resources in the proximity of end users. The resource orchestration of edge cl...
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Massimo Condoluci, Laurent Gallo, Laurent Mussot, Apostolos Kousaridas, Panagiotis Spapis, Maliheh Mahlouji and Toktam Mahmoodi
One of the goals of the 5G Communication Automotive Research and innovation (5GCAR) project has been to evaluate and propose system architecture enhancements aiming at supporting the strict requirements of vehicle-to-everything (V2X) use cases. In this p...
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Rafael Moreno-Vozmediano, Rubén S. Montero, Eduardo Huedo and Ignacio M. Llorente
The adoption of edge infrastructure in 5G environments stands out as a transformative technology aimed at meeting the increasing demands of latency-sensitive and data-intensive applications. This research paper presents a comprehensive study on the intel...
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Boyu Xie, Qi Su, Beilun Tang, Yan Li, Zhengwu Yang, Jiaoyang Wang, Chenxi Wang, Jingxian Lin and Lin Li
With the advancement in modern agricultural technologies, ensuring crop health and enhancing yield have become paramount. This study aims to address potential shortcomings in the existing chili disease detection methods, particularly the absence of optim...
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Akash Gupta and Adnan Al-Anbuky
Hip fracture incidence is life-threatening and has an impact on the person?s physical functionality and their ability to live independently. Proper rehabilitation with a set program can play a significant role in recovering the person?s physical mobility...
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Rhodney Simões, Kelvin Dias and Ricardo Martins
The expected huge amount of connected cars and applications with varying Quality of Service (QoS) demands still depend on agile/flexible networking infrastructure to deal with dynamic service requests to the control plane, which may become a bottleneck f...
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Pekka Pääkkönen, Daniel Pakkala, Jussi Kiljander and Roope Sarala
The current approaches for energy consumption optimisation in buildings are mainly reactive or focus on scheduling of daily/weekly operation modes in heating. Machine Learning (ML)-based advanced control methods have been demonstrated to improve energy e...
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Juan Wang, Yang Yu, Yi Li, Chengyang Fan and Shirong Hao
Network function virtualization (NFV) provides flexible and scalable network function for the emerging platform, such as the cloud computing, edge computing, and IoT platforms, while it faces more security challenges, such as tampering with network polic...
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