Article
Computer Science, Artificial Intelligence
Fang-Qi Li, Rui-Jie Zhao, Shi-Lin Wang, Li-Bo Chen, Alan Wee-Chung Liew, Weiping Ding
Summary: The pervasive deployment of the Internet of Things has brought significant impact to manufacturing and living, but security remains a crucial challenge. The detection of malicious network traffic is a common yet destructive threat. To address this, a fuzzy system incorporating Bayesian possibilistic clustering and ensemble learning is proposed to enhance security and stability.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Chemistry, Analytical
Fariza Sabrina, Nan Li, Shaleeza Sohail
Summary: This paper proposes a device identity management approach for blockchain-based IoT systems, ensuring data security and easy access through time-based identification and blockchain application.
Article
Computer Science, Information Systems
Ali Mohammed Kadhim Abdulzahra, Ali Kadhum M. Al-Qurabat, Suha Abdulhussein Abdulzahra
Summary: This article proposes an energy-efficient protocol for IoT that uses WSN, called EFUCSS, which extends the network lifespan and reduces energy consumption through clustering, scheduling, and data transmission. The protocol forms unequal clusters based on Fuzzy C-Means to balance energy usage and uses a fuzzy logic system for cluster head selection. Extensive simulation experiments show that EFUCSS improves remaining energy and network lifespan significantly compared to other protocols.
INTERNET OF THINGS
(2023)
Article
Computer Science, Information Systems
Imran Memon, Mohammad Kamrul Hasan, Riaz Ahmed Shaikh, Jamel Nebhen, Khairul Azmi Abu Bakar, Eklas Hossain, Muhammad Hanif Tunio
Summary: This article proposes a new fuzzy-clustering-based routing algorithm to improve the performance of vehicular ad hoc networks, utilizing multi-hop transmission clustering to enhance network efficiency and cluster head node lifetime. Simulation results show that this method outperforms others and has better QoS effects during data transmission.
Article
Food Science & Technology
Michelle Tigchelaar, William W. L. Cheung, Essam Yassin Mohammed, Michael J. Phillips, Hanna J. Payne, Elizabeth R. Selig, Colette C. C. Wabnitz, Muhammed A. Oyinlola, Thomas L. Frolicher, Jessica A. Gephart, Christopher D. Golden, Edward H. Allison, Abigail Bennett, Ling Cao, Jessica Fanzo, Benjamin S. Halpern, Vicky W. Y. Lam, Fiorenza Micheli, Rosamond L. Naylor, U. Rashid Sumaila, Alessandro Tagliabue, Max Troell
Summary: Aquatic food systems are at risk due to climate change, and efforts to build climate resilience must focus on reducing social vulnerabilities. Systemic interventions are needed to enhance the resilience of aquatic and terrestrial food systems for the benefit of achieving Sustainable Development Goals.
Article
Computer Science, Information Systems
Kevin Bylykbashi, Ermioni Qafzezi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Summary: This paper introduces the development of Internet of Vehicles (IoV) in the era of Internet of Things (IoT) and proposes an integrated fuzzy-based driving-support system for real-time risk management. The system considers the vehicle technical condition and various parameters to evaluate driving risk.
INTERNET OF THINGS
(2021)
Article
Computer Science, Information Systems
Richa Verma, Shalini Chandra
Summary: The Internet of Things (IoT) refers to a network of smart devices involved in data collection and exchange. Fog computing was introduced to provide faster data processing at the network edge, although it also increases the risk of attacks. An Interval-Valued Intuitionistic Fuzzy Set (IVIFS) based Analytical Hierarchy Process (AHP) was utilized for evaluating the security of Fog-IoT environment.
COMPUTER COMMUNICATIONS
(2021)
Article
Telecommunications
N. Anita, M. Vijayalakshmi, S. Mercy Shalinie
Summary: This paper addresses the limitations of integrating IoT data with blockchain technology and proposes a solution using fuzzy logic model. The implementation of blockchain on the Ethereum platform shows improved block reliability and data integrity compared to existing benchmark methods.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Musa G. Samaila, Carolina Lopes, Edi Aires, Joao B. F. Sequeiros, Tiago Simoes, Mario M. Freire, Pedro R. M. Inacio
Summary: The applications of IoT technologies have significant impacts on society and the environment, but security incidents have raised concerns in both academia and industry. While various security solutions have been proposed, some may not adequately support designers and developers with limited security expertise in creating secure IoT systems.
Article
Chemistry, Analytical
Omar Said
Summary: Recently, global healthcare has made significant progress with the use of Internet of Things technology. However, in order to provide excellent patient care, a high level of safety in the IoT health system is crucial. This paper proposes a security scheme, LBSS, for the IoT-enabled healthcare environment, which utilizes three security mechanisms including blockchain technology, secure data storage, and authorized access. The simulation results demonstrate that the proposed security scheme outperforms traditional models in terms of performance metrics.
Article
Computer Science, Artificial Intelligence
Khalid A. Darabkh, Muna Al-Akhras, Ala' F. Khalifeh, Iyad F. Jafar, Fahed Jubair
Summary: The Low-power and Lossy Network (LLN) is essential for IoT to connect resource-constrained wireless devices, with the IPv6 Routing Protocol for LLNs (RPL) being the standard protocol. The selection of the best preferred parent node is crucial in establishing routes effectively.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Chemistry, Multidisciplinary
Bhaskar B. Gardas, Arash Heidari, Nima Jafari Navimipour, Mehmet Unal
Summary: The demand for more powerful data storage and processing in Internet of Things (IoT) applications has increased, but cloud-based systems face several issues that can be addressed with edge computing and node selection. The interconnection of blockchain technology and edge IoT provides a fresh perspective on access control framework design.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Software Engineering
Shilpa Shankhpal, Brahmananda Savadatti Hanumantha
Summary: Internet of Things (IoT) networks aim to provide the best user experience in terms of security and speed. However, most existing techniques are applied at the application level, which reduces the overall network's quality of service. To address these issues, this study proposes a novel kernel-level multi-channel fuzzy-authentication and aggregation framework (KMFA2) that improves both authentication and network performance.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Bhukya Kranthikumar, R. Leela Velusamy
Summary: Recent advancements in Wireless Sensor Networks (WSNs) have generated interest in sensor tracking events. Environment monitoring is an important application where WSNs are used for animal conservation. WSNs are crucial for real-time applications due to their topology, scale, and communication capabilities. This paper proposes a new fuzzy and secured clustering algorithm to improve energy efficiency and security in WSNs.
Article
Engineering, Electrical & Electronic
Vani Krishnaswamy, Sunilkumar S. Manvi
Summary: This paper proposes a trusted cluster head and member nodes selection scheme using fuzzy logic, which includes conducting security checks on member nodes using a lightweight encryption algorithm and selecting trusted nodes based on trust values. The scheme is simulated in MATLAB and shows better performance in malicious node detection and packet delivery compared to existing schemes.
PHYSICAL COMMUNICATION
(2021)
Article
Computer Science, Information Systems
Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Summary: This paper investigates the admission control approach in the Fifth Generation wireless network by combining Software-Defined Network and Network Slicing. To address the limited system resources and rapid device growth, a fuzzy-based scheme for Service Level Agreement evaluation is proposed. Two models, FSSLA1 and FSSLA2, are compared with different input parameters to evaluate the SLA.
JOURNAL OF HIGH SPEED NETWORKS
(2022)
Article
Chemistry, Analytical
Ermioni Qafzezi, Kevin Bylykbashi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Summary: This paper proposes an intelligent approach to flexibly and efficiently manage resources in SDN-VANETs networks, and verifies the feasibility of the proposed approach through computer simulations.
Article
Computer Science, Artificial Intelligence
Admir Barolli, Kevin Bylykbashi, Ermioni Qafzezi, Shinji Sakamoto, Leonard Barolli
Summary: With the exponential increase of connected devices, dynamic networks are needed to optimize end users' experience. Wireless mesh networks (WMNs) are seen as a solution to provide reliable connectivity while minimizing maintenance costs. However, the design of a low-cost and robust WMN requires careful placement of mesh routers to ensure full coverage.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2022)
Article
Computer Science, Information Systems
Kevin Bylykbashi, Ermioni Qafzezi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Summary: Drivers are mainly responsible for traffic accidents, and irresponsible driving behaviors are preventable. An improved system is proposed to determine drivers' stress feeling level by considering driving experience, history, and other parameters, and provides corresponding actions.
JOURNAL OF HIGH SPEED NETWORKS
(2022)
Article
Engineering, Mechanical
Ermioni Qafzezi, Kevin Bylykbashi, Shunya Higashi, Phudit Ampririt, Keita Matsuo, Leonard Barolli
Summary: Vehicular Ad Hoc Networks (VANETs) have the potential to enhance road safety, traffic efficiency, and passenger comfort through vehicle-to-vehicle and vehicle-to-infrastructure communication. However, VANETs face resource management challenges due to the dynamic and resource constrained nature of vehicular environments. This study proposes an intelligent approach based on Fuzzy Logic (FL) to evaluate the processing and storage capability of vehicles for assisting vehicles in need of additional resources.
Article
Computer Science, Information Systems
Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Summary: This paper presents a new system for admission control in 5G wireless networks, considering service level agreement as a new parameter. They also propose a fuzzy-based scheme for slice overloading cost. The simulation results show that quality of service, slice priority, and service level agreement have different effects on the acceptance decision.
INTERNATIONAL JOURNAL OF DISTRIBUTED SYSTEMS AND TECHNOLOGIES
(2022)
Proceedings Paper
Computer Science, Information Systems
Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Summary: This paper discusses the restricted resources and overloading issue in the 5G wireless network, as well as the importance of resource priority. To address these challenges, the author proposes a fuzzy-based scheme that considers parameters such as slice traffic volume, interference, and connectivity to evaluate slice priority.
ADVANCED INFORMATION NETWORKING AND APPLICATIONS, AINA-2022, VOL 1
(2022)
Proceedings Paper
Computer Science, Information Systems
Admir Barolli, Kevin Bylykbashi, Shinji Sakamoto, Elis Kulla, Leonard Barolli
Summary: Wireless Mesh Networks (WMNs) are gaining attention from researchers due to their advantages such as easy maintenance, low cost, and high stability. In this study, we compared the performance of 16 and 17 mesh routers with stadium distribution of mesh clients, and the results showed that 17 routers achieved better connectivity and load balance.
ADVANCED INFORMATION NETWORKING AND APPLICATIONS, AINA-2022, VOL 1
(2022)
Proceedings Paper
Computer Science, Information Systems
Ermioni Qafzezi, Kevin Bylykbashi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Summary: This paper discusses various aspects of VANETs, including architecture, applications, wireless technologies, and security issues. Traditional and recent architectures are detailed, and an overview of use cases and applications relevant to VANETs is presented. Additionally, the challenges faced by existing wireless technologies supporting V2X communications are discussed, along with a comparison between short-range radio technologies and cellular networking technologies. Finally, several surveys on data dissemination and security issues in VANETs are presented.
ADVANCED INFORMATION NETWORKING AND APPLICATIONS, AINA-2022, VOL 3
(2022)
Proceedings Paper
Computer Science, Information Systems
Kevin Bylykbashi, Ermioni Qafzezi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Summary: This paper introduces an intelligent system based on fuzzy logic for determining the driver's stress level in Vehicular Ad hoc Networks (VANETs). The system takes into account the driver's impatience, the behavior of other drivers, the traffic condition, as well as the driver's experience and history. Through simulations, the paper demonstrates the impact of these factors on the stress feeling level and proposes actions to be taken when the stress exceeds certain levels.
ADVANCED INFORMATION NETWORKING AND APPLICATIONS, AINA-2022, VOL 2
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Ermioni Qafzezi, Kevin Bylykbashi, Admir Barolli, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Summary: This paper proposes a fuzzy-based system for assessing the data processing capability of the fog layer in Software Defined VANETs (SDN-VANETs). The system takes into account factors such as data sending time, server load, and server history, and evaluates the system through computer simulations.
ADVANCES IN INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS, INCOS-2022
(2022)
Proceedings Paper
Computer Science, Information Systems
Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Summary: This paper proposes a fuzzy-based handover system that considers parameters such as slice delay, slice bandwidth, slice stability, and slice load. Simulation results show that these parameters have different effects on handover decision-making.
ADVANCES IN NETWORK-BASED INFORMATION SYSTEMS, NBIS-2022
(2022)
Proceedings Paper
Computer Science, Cybernetics
Kevin Bylykbashi, Ermioni Qafzezi, Phudit Ampririt, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Summary: In this paper, an intelligent system based on Fuzzy Logic (FL) is proposed and implemented to determine the driver's stress in Vehicular Ad hoc Networks (VANETs). The system takes into account the driver's impatience, the behavior of other drivers, and the traffic condition as input parameters, and can invoke appropriate actions to improve the driver's mood.
ADVANCES IN INTERNET, DATA & WEB TECHNOLOGIES (EIDWT-2022)
(2022)
Proceedings Paper
Computer Science, Information Systems
Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Summary: In this paper, the authors explore the impact of Service Level Agreement on Admission Control for 5G wireless networks and propose a Fuzzy-based system for admission decision. The study shows that increasing Quality of Service, Slice Priority, and SLA parameters result in increased admission decisions, while an increase in Slice Overloading Cost parameter leads to decreased admission decisions.
ADVANCES ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING, 3PGCIC-2021
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Phudit Ampririt, Ermioni Qafzezi, Kevin Bylykbashi, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Summary: This paper addresses the overloading problem in 5G wireless network and proposes a fuzzy-based SLA system to tackle this issue. Through simulation experiments, it is found that an increase in reliability and availability leads to an increase in the SLA parameter, while an increase in latency results in a decrease in the SLA parameter.
ADVANCES IN INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS (INCOS-2021)
(2022)