Article
Computer Science, Information Systems
Ernando Batista, Gustavo Figueiredo, Cassio Prazeres
Summary: The Internet of Things enables the coordination and orchestration of numerous physical and virtual objects connected to the Internet. This paper proposes a solution for load balancing in IoT applications using Software-Defined Networks. It addresses the challenges posed by unstable network infrastructure and processing overload on IoT devices.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Engineering, Electrical & Electronic
Yue Zeng, Baoliu Ye, Bin Tang, Sanglu Lu, Feng Xu, Song Guo, Zhihao Qu
Summary: This paper investigates how to proactively set flow rules to maximize the flow setup hit ratio and minimize flow setup latency under limited network resources. Two integer linear programming problems are formulated and solved using a polynomial-time approximation algorithm and a greedy-based heuristic algorithm. Experimental results show that our algorithms can improve the flow setup hit ratio up to 30.99% compared to existing solutions.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Wajid Rafique, Abdelhakim Senhaji Hafid, Soumaya Cherkaoui
Summary: This article presents the concept of software-defined information-centric Internet of Things (SDIC-IoT) as a solution for IoT service provisioning by integrating software-defined networking (SDN) and information-centric networking (ICN). It discusses the key technologies, architecture, and benefits of SDIC-IoT for different aspects of IoT services. The article also explores various use cases, synergies, and advancements of SDIC-IoT, and presents the current challenges and future research directions for IoT service provisioning using SDIC-IoT.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Review
Chemistry, Analytical
Claudio Urrea, David Benitez
Summary: The article discusses the need for using SDN in communication for the Industrial Internet of Things (IIoT), and through a literature review, identifies the main requirements and solutions for industrial networks. The article proposes that key issues in industrial networks can be addressed through SDN solutions, and introduces a distributed network control architecture for all IIoT SDN network scenarios.
Article
Computer Science, Information Systems
Shalli Rani, Himanshi Babbar, Gautam Srivastava, Thippa Reddy Gadekallu, Gaurav Dhiman
Summary: Currently, there are trillions of IoT devices in use, and even more are expected to join IoT networks in the future. These devices generate a massive amount of data, which needs to be transmitted securely over the network. However, as the number of interconnected devices increases, there are challenges such as response time, bandwidth constraints, and scalability in network design. To overcome these challenges, a distributed framework that brings computing and storage resources closer to endpoints is proposed, combining the strengths of SDNs and blockchain technology. Experimental analysis showed a 12.75% improvement in performance compared to baseline methodologies.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Hardware & Architecture
Minghui Dai, Zhou Su, Ruidong Li, Shui Yu
Summary: The proliferation of smart devices in IoT has led to a large amount of data transmission, posing challenges for providing secure and intelligent services due to resource-limited devices. A novel SDN-enabled architecture, integrating cloud computing, edge computing, and IoT networks, along with blockchain and reinforcement learning techniques, is proposed to address these challenges and support secure and intelligent services in IoT.
Editorial Material
Automation & Control Systems
Syed Hassan Ahmed Shah, Deepika Koundal, Vyasa Sai, Shalli Rani
Summary: The relationship between computing and healthcare has a long history, but the adoption of telemedicine has been slow due to political resistance, lack of infrastructure development frameworks, and lack of resources. The Internet of Medical Things (IoMT) is expected to bring about significant advancements, particularly when combined with edge computing and 5G speed. Artificial intelligence and edge computing have played a crucial role in improving the network for reliable communication in smart healthcare systems.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Kamalika Bhattacharjya, Debashis De
Summary: The research explores the importance of IoUT in monitoring underwater environments and proposes an intelligent IoUT model based on drones and edge computing. By selecting efficient cluster head nodes to reduce energy consumption, the efficiency of data transmission is improved, and the performance of the new model is compared with traditional models.
SIMULATION MODELLING PRACTICE AND THEORY
(2021)
Article
Computer Science, Artificial Intelligence
Murtaza Cicioglu, Ali Calhan
Summary: Software-defined networking (SDN) is a flexible paradigm that provides isolation of control and data planes, proposes control mechanisms and network programmability, and offers new solutions to traditional network infrastructure issues. In wireless communication, SDN offers hardware and vendor-independent software for routing protocols. This study proposes a machine learning-assisted routing algorithm for software-defined wireless networks, which uses historical network parameters to make real-time routing decisions and achieves better performance compared to the traditional Dijkstra algorithm.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Abdelhamied A. Ateya, Abeer D. Algarni, Monia Hamdi, Andrey Koucheryavy, Naglaa. F. Soliman
Summary: The Internet of things (IoT) is the third evolution of the traditional Internet that enables interaction and communication among machines. Integrating heterogeneous IoT networks with existing cellular networks face challenges related to dense deployment and a massive number of connected devices. The proposed system in this research provides a framework for integrating heterogeneous IoT networks with 5G networks through the deployment of mobile edge computing, device-to-device communications, and software-defined networking.
Article
Computer Science, Information Systems
Nurzaman Ahmed, Sudip Misra
Summary: This article proposes an intelligent traffic identification mechanism for the Software-Defined Internet of Things (SD-IoT) using a collaboration between an intelligent access node and an SDN controller. The proposed mechanism utilizes machine learning for traffic identification at the access node and processes flows at the edge to reduce network latency. An optimization model is also developed to program the access nodes considering the heterogeneous and unknown traffic. Performance analysis shows significant improvements in latency, controller overheads, energy consumption, and packet delivery ratio.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Shanchen Pang, Nuanlai Wang, Min Wang, Sibo Qiao, Xue Zhai, Neal N. Xiong
Summary: This paper introduces a method to enhance the ability of smart driving vehicles and mobile edge computing to deal with complex road conditions, and proposes a hybrid transmission and reputation management system. By utilizing 5G technology and relay vehicles, an efficient vehicle-to-vehicle and vehicle-to-infrastructure scheduling algorithm is designed to improve the reliability of V2V connections.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Information Systems
Niloy Saha, Samaresh Bera, Sudip Misra
Summary: This paper proposes a traffic-aware QoS routing scheme in SDN-based IoT networks, utilizing both delay-sensitive and loss-sensitive routing strategies to maximize network performance. By employing a greedy algorithm to compute optimal forwarding paths and deploying flow rules at forwarding devices, the proposed scheme significantly reduces end-to-end delay and QoS violations. Extensive simulations demonstrate the scheme's effectiveness in satisfying QoS requirements for different types of flows, outperforming existing schemes in terms of reducing QoS violations.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING
(2021)
Article
Engineering, Multidisciplinary
Chen Yang, Fangyin Liao, Shulin Lan, Lihui Wang, Weiming Shen, George Q. Huang
Summary: This research focuses on achieving rapid reconfiguration in a cloud manufacturing environment by proposing a new manufacturing model called software-defined cloud manufacturing (SDCM), which transfers control logic from hardware to software. Edge computing is introduced to complement cloud computing with computation and storage capabilities near end devices. The study also addresses the management of network congestion caused by transmitting a large amount of Internet of Things (IoT) data with different quality of service (QoS) values. An approach integrating genetic algorithm, Dijkstra's shortest path algorithm, and queuing algorithm is proposed to solve the optimization problem. Experimental results demonstrate that the proposed method effectively prevents network congestion and reduces communication latency in the SDCM.
Article
Computer Science, Information Systems
Niloy Saha, Sudip Misra, Samaresh Bera
Summary: The article proposes a QoS-aware flow-rule aggregation scheme for generic network topologies in Software-defined IoT (SDIoT) to address scalability issues. The scheme adaptively aggregates flow-rules while considering the QoS requirements of IoT applications, achieving a balance between flow-rule compression and QoS performance.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Sara Pizzi, Chiara Suraci, Antonio Iera, Antonella Molinaro, Giuseppe Araniti
Summary: This study proposes an efficient and reliable protocol for the management of multicast services in a 5G-oriented IoT scenario, utilizing D2D communications to enhance network efficiency and optimize network resource utilization. Additionally, cyber security and social trustworthiness mechanisms are leveraged to secure D2D communications.
IEEE TRANSACTIONS ON BROADCASTING
(2021)
Article
Engineering, Electrical & Electronic
Federica Rinaldi, Helka-Liina Maattanen, Johan Torsner, Sara Pizzi, Sergey Andreev, Antonio Iera, Yevgeni Koucheryavy, Giuseppe Araniti
Summary: The era of 5G NR technology promises improved system performance, with high throughput satellite systems gaining attention for their ability to boost system capacity and efficiency. The proposed SF-MBT algorithm for multi-beam NTN systems aims to efficiently deliver enhanced Mobile Broadband services.
IEEE TRANSACTIONS ON BROADCASTING
(2021)
Article
Engineering, Electrical & Electronic
Nadezhda Chukhno, Olga Chukhno, Sara Pizzi, Antonella Molinaro, Antonio Iera, Giuseppe Araniti
Summary: Multicasting is essential for IoT and wearable applications requiring high bandwidth efficiency and low energy consumption. Millimeter wave communications play a crucial role in efficiently disseminating data and enhancing throughput gain in 5G networks. Challenges include short propagation range and high path loss at mmWave frequencies, leading to directional systems utilizing a sequence of beamformed transmissions to serve all multicast group members. This paper focuses on optimizing multicast data transmission for throughput and energy efficiency, proposing a radio resource management policy for delivering multicast content to interested users. Simulation results demonstrate that the proposed RRM policy significantly improves network throughput compared to benchmark approaches and achieves a high gain in energy efficiency over fixed predefined beams for unicast and multicast.
IEEE TRANSACTIONS ON BROADCASTING
(2021)
Article
Computer Science, Information Systems
Giuseppe Ruggeri, Marica Amadeo, Claudia Campolo, Antonella Molinaro, Antonio Iera
Summary: By 2025, the Internet of Things will connect over 75 billion objects, driving the digital revolution and generating large amounts of data, challenging traditional cloud storage and processing performance. Moving storage resources to the edge can reduce data retrieval latency, but actual performance depends on caching policies. This article introduces an edge caching strategy considering storage capacity, bandwidth, and data characteristics for minimizing data retrieval latency.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Article
Engineering, Electrical & Electronic
Nadezhda Chukhno, Sergio Trilles, Joaquin Torres-Sospedra, Antonio Iera, Giuseppe Araniti
Summary: The article introduces the application of 5G New Radio technology in achieving high-accuracy continuous localization. It analyzes the strengths and weaknesses of D2D as an enabling technology for cooperative positioning and provides guidelines for future research.
IEEE SENSORS JOURNAL
(2022)
Article
Chemistry, Analytical
Marica Amadeo, Claudia Campolo, Giuseppe Ruggeri, Antonella Molinaro
Summary: Named Data Networking (NDN) is a promising network architecture for sixth generation (6G) edge network infrastructures. This paper presents a new caching strategy based on popularity-aware closeness (PaC), which improves the performance of content retrieval by enabling name-based routing and in-network caching.
Article
Computer Science, Information Systems
Giuseppe Araniti, Antonio Iera, Antonella Molinaro, Sara Pizzi, Federica Rinaldi
Summary: Internet of Space Things (IoST) is a challenging paradigm that integrates the space segment into the global Internet-of-Things (IoT) infrastructure. This article focuses on multitenant IoT scenarios, where multiple CubeSats constellations offer services through a dynamic federation model. The research shows that implementing a cooperation paradigm improves the success rate of task completion.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Olga Chukhno, Nadezhda Chukhno, Giuseppe Araniti, Claudia Campolo, Antonio Iera, Antonella Molinaro
Summary: This research focuses on the dynamic placement of social digital twins (SDTs) at the network edge, providing an optimal solution considering device mobility, edge network deployment specifics, types of devices, and their social peculiarities. The proposed placement policy ensures a lower latency among SDTs compared to traditional proximity-based placement, while still maintaining appropriate proximity between physical devices and their virtual counterparts.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Nadezhda Chukhno, Olga Chukhno, Dmitri Moltchanov, Anna Gaydamaka, Andrey Samuylov, Antonella Molinaro, Yevgeni Koucheryavy, Antonio Iera, Giuseppe Araniti
Summary: This study investigates the efficient use of multicast services in 5G NR systems and proposes several machine learning methods to address the problem. The results show a trade-off between accuracy and computational complexity in multicast grouping using decision tree-based algorithms, and the nature of cell coverage also affects the solution options.
IEEE TRANSACTIONS ON BROADCASTING
(2023)
Article
Engineering, Electrical & Electronic
Olga Chukhno, Nadezda Chukhno, Sara Pizzi, Antonino Orsino, Helka-Liina Maattanen, Johan Torsner, Antonella Molinaro, Antonio Iera, Giuseppe Araniti
Summary: This article emphasizes the importance of prompt on-demand network re-configuration for operational connectivity in emergency situations to facilitate effective public protection and disaster relief actions. The interplay of sidelink communications, directional unicast transmissions, and multicasting is extensively analyzed, and a practical methodology based on fluid model approximation is proposed to capture the time dynamics of mission-critical services. Simulation results demonstrate that the integration of multicasting, unicasting, and sidelink is a highly effective solution, while standalone unicast, multicast, and sidelink transmissions fail to support such services. Furthermore, optimal results are achieved when multicast utilizes over 70% of available resources in a mixed unicast-multicast-sidelink configuration.
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY
(2023)
Article
Computer Science, Information Systems
Claudia Campolo, Antonio Iera, Antonella Molinaro
Summary: To keep up with the rapid growth of AI and ML applications, distributed intelligence solutions are gaining momentum and utilizing cloud facilities, edge nodes, and end-devices to enhance computational power, meet application requirements, and optimize performance. However, distributing intelligence throughout the cloud-to-things continuum poses unprecedented challenges to network design. This paper explores the distributed intelligence scenario and critically analyzes existing research achievements, identifies key building blocks of a network ecosystem for distributed intelligence, and provides design guidelines based on the authors' perspectives.
Article
Telecommunications
Marica Amadeo, Claudia Campolo, Giuseppe Ruggeri, Antonella Molinaro
Summary: In this work, we propose a novel probabilistic Internet-scale caching design for IoT data, which takes into account both content popularity and lifetime. The proposal includes two distinct reactive caching strategies, implemented in the edge and core domains, respectively, and achieves better performance than existing solutions.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2022)
Article
Telecommunications
Claudia Campolo, Giacomo Genovese, Antonio Iera, Antonella Molinaro
Summary: This paper discusses the development trend of Internet of Things applications relying on artificial intelligence and machine learning algorithms. It proposes an AI distributed deployment solution on IoT devices to improve the efficiency and pervasiveness of intelligent applications.
JOURNAL OF SENSOR AND ACTUATOR NETWORKS
(2021)
Article
Computer Science, Information Systems
Vittorio Todisco, Stefania Bartoletti, Claudia Campolo, Antonella Molinaro, Antoine O. Berthet, Alessandro Bazzi
Summary: This paper conducts a comprehensive analysis of Mode 2 performance in 5G-V2X scenarios, utilizing an open-source system-level simulator. Results from extensive simulation campaigns showcase the effects of new 5G-V2X features on sidelink resource allocation performance and provide insights for potential improvements in Mode 2 performance.
Review
Computer Science, Information Systems
Alessandro Bazzi, Antoine O. Berthet, Claudia Campolo, Barbara Mavi Masini, Antonella Molinaro, Alberto Zanella
Summary: Connected and fully automated vehicles are poised to revolutionize global mobility in the near future, improving road safety, traffic efficiency, and travel experience significantly. This paper analyzes the evolution of C-V2X technology within the 3GPP and surveys related literature to identify challenges and perspectives shaping future developments in vehicle communication beyond 5G.
Article
Computer Science, Hardware & Architecture
Xiaolin Gu, Wenjia Wu, Yusen Zhou, Aibo Song, Ming Yang, Zhen Ling, Junzhou Luo
Summary: This study proposes a radio frequency fingerprint identification solution based on crystal oscillator temperature adjustment, which enhances the differences between Wi-Fi device fingerprints and mitigates collision. Experimental results demonstrate the effectiveness of the system in identifying smartphones under different scenarios.
Article
Computer Science, Hardware & Architecture
Yutong Wu, Jianyue Zhu, Xiao Chen, Yu Zhang, Yao Shi, Yaqin Xie
Summary: This paper proposes a quality-of-service-based SIC order method and optimizes power allocation for maximizing the rate in the uplink NOMA system. The simulation results demonstrate the superiority of the proposed method compared to traditional orthogonal multiple access and exhaustive search.
Article
Computer Science, Hardware & Architecture
Songshi Dou, Li Qi, Zehua Guo
Summary: Emerging cloud services and applications have different QoS requirements for the network. SD-WANs play a crucial role in QoS provisioning by introducing network programmability, dynamic flow routing, and low data transmission latency. However, controller failures may degrade QoS. To address this, we propose PREDATOR, a QoS-aware network programmability recovery scheme that achieves fine-grained per-flow remapping without introducing extra delays, ensuring QoS robustness for high-priority flows.
Article
Computer Science, Hardware & Architecture
Ke Wang, Xiaojuan Ma, Heng Kang, Zheng Lyu, Baorui Feng, Wenliang Lin, Zhongliang Deng, Yun Zou
Summary: This paper proposes a method based on a parallel network simulation architecture to improve the simulation efficiency of satellite networks. By effectively partitioning the network topology and using algorithms such as resource assessment and load balancing, the simulation performance is enhanced. Experimental results demonstrate the effectiveness of this method.
Article
Computer Science, Hardware & Architecture
Sijin Yang, Lei Zhuang, Julong Lan, Jianhui Zhang, Bingkui Li
Summary: This paper proposes a reuse-based online scheduling mechanism that achieves deterministic transmission of dynamic flows through dynamic path planning and coordinated scheduling of time slots. Experimental results show that the proposed mechanism improves the scheduling success rate by 37.3% and reduces time costs by up to 66.6% compared to existing online scheduling algorithms.
