Article
Computer Science, Information Systems
Jakob Pfender, Alvin Valera, Winston K. G. Seah
Summary: This paper argues that traditional metrics are insufficient to describe caching performance in the subdomain of information-centric IoT, and introduces two new metrics to provide deeper insights into the effectiveness of in-network caching strategies, demonstrated through experiments on real hardware.
INTERNET OF THINGS
(2022)
Article
Computer Science, Information Systems
Luis Leira, Miguel Luis, Susana Sargento
Summary: This research aims to improve content availability and network performance in mobile environments. A context-based cache admission policy is proposed to provide in-network caching and content replication, enhancing the efficiency of information delivery. Results show that using a multi-criteria context-based cache admission policy improves content delivery and network efficiency in mobile environments.
COMPUTER COMMUNICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
P. G. Shynu, Fadi Al-Turjman
Summary: Information-Centric Network (ICN) is a fundamental networking model with critical features like routing and caching to enhance network efficiency. This paper introduces a new routing model for mobile and social sensing data in ICN, along with cache replacement policies for improved performance. Experimental results show that the proposed algorithm is more effective compared to previous algorithms.
COMPUTERS & ELECTRICAL ENGINEERING
(2021)
Article
Chemistry, Multidisciplinary
Yuanhang Li, Jinlin Wang, Rui Han
Summary: This paper focuses on the Information-Centric Network (ICN) and its caching scenario. The authors propose a Popularity-based caching strategy with Number-of-Copies Control (PB-NCC) and validate its effectiveness in improving cache hit ratio and reducing server load through numerous experiments.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Yating Yang, Tian Song
Summary: This study proposes a multihop cooperative caching technique for green WSNs using receiver-driven ICNs, which leverages regional caches to achieve energy saving and reduce data fetching delay.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Danye Wu, Zhiwei Xu, Bo Chen, Yujun Zhang, Zhu Han
Summary: Edge computing reduces burden on cloud data centers, but online big data may strain network backbones. Information-centric edge networking incorporates in-network caching to address this, yet raises new security issues requiring defenses like efficient access control design specifically tailored for this environment.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Chemistry, Analytical
Salahadin Seid Musa, Marco Zennaro, Mulugeta Libsie, Ermanno Pietrosemoli
Summary: This paper proposes a mobility-aware Information-Centric Network with proactive caching scheme to provide delay-sensitive services on IoV networks. Research shows that the proposed scheme outperforms related caching schemes in terms of latency and cache hits.
Article
Computer Science, Information Systems
Sumit Kumar, Rajeev Tiwari, Sergei Kozlov, Joel J. P. C. Rodrigues
Summary: Content-centric networking (CCN) provides an effective content retrieval mechanism by using in-network caching to reduce network delay and bandwidth requirements. The efficiency of content caching decisions is crucial for network performance. A novel content placement scheme was proposed, showing superiority in performance parameters over existing peer schemes.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2022)
Article
Engineering, Civil
Xiaonan Wang, Xilan Chen
Summary: In the sparse vehicular content-centric network, the issue of content delivery failures caused by discontinuous connections is addressed by exploiting the social attributes of vehicles. A social attributes based content delivery framework is proposed to improve content delivery success rates and reduce costs by leveraging the social metrics of vehicles for content delivery and in-network caching. Experimental results demonstrate the superiority of the proposed framework.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Javed Iqbal, Zain ul Abideen, Nadia Ali, Saddam Hussain Khan, Azizur Rahim, Ali Zahir, Syed Agha Hassnain Mohsan, Mohammed H. Alsharif
Summary: The usage of social media applications is rapidly increasing, resulting in high traffic overhead. To meet future internet requirements, a new internet paradigm called Information Centric Networks (ICN) has been introduced. In the field of mobile ICN, we propose a decentralized placement scheme called self-organized cooperative caching (SOCC), which improves overall network performance through efficient bandwidth utilization and reduced traffic overhead.
Article
Computer Science, Information Systems
Sumit Kumar, Rajeev Tiwari
Summary: With the growth of the Internet of Things, fog networks are needed to design cloud architectures more effectively. Content-Centric Networking (CCN) has been developed as a potential future Internet architecture to meet the increasing demands of fog networking-based applications. This paper proposes a novel content caching scheme, DPPCOP, to enhance content retrieval performance. DPPCOP partitions the fog network, analyzes partition information, content popularity, and distance metrics to place popular contents near end-user devices. Simulation results show the superiority of the DPPCOP caching strategy over existing schemes.
PERVASIVE AND MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Shan Zhang, Junjie Li, Hongbin Luo, Jie Gao, Lian Zhao, Xuemin (Sherman) Shen
Summary: This paper investigates the content service provision in information-centric vehicular networks (ICVNs) using mobile edge caching. Two schemes, RSUC and ReA, are designed to balance the average age of information (AoI) and latency. Simulations demonstrate that these schemes can significantly reduce service latency while ensuring content freshness in heavily loaded ICVNs.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Review
Computer Science, Hardware & Architecture
Hisham Al-Ward, Chee Keong Tan, Wern Han Lim
Summary: The Information-Centric Internet-of-Things (IC-IoT) connects billions of devices to the Internet, leading to massive data generation, which poses a challenge to the network. Traditional caching solutions are ineffective for IoT-produced content due to its transient nature, prompting research into developing caching solutions for transient IC-IoT data.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Nitul Dutta, Shobhit K. Patel, Osama S. Faragallah, Mohammed Baz, Ahmed Nabih Zaki Rashed
Summary: This paper proposes a caching approach with balanced content distribution among network devices. The selection of contents to be cached is determined through universal and computed using Zipf's law. The dynamic change in popularity of contents is also considered to make caching decisions. The evaluation in a simulated environment shows that the proposed caching method performs better than the other three protocols used in the comparison.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2022)
Article
Chemistry, Analytical
Ngoc-Thanh Dinh, Younghan Kim
Summary: This paper highlights the importance of utilizing Content Store (CS) information in information-centric networking (ICN) for efficient content caching and retrieval. Through coordination among neighboring nodes, more popular content objects can be cached in the proximity of the node. Experimental results demonstrate that this caching policy significantly improves cache hit ratio, stretch ratio, content retrieval latency, and energy efficiency compared to state-of-the-art schemes.
Article
Engineering, Civil
Pengyuan Zhou, Xianfu Chen, Zhi Liu, Tristan Braud, Pan Hui, Jussi Kangasharju
Summary: The Internet of Vehicles (IoV) and efficient traffic light control can create a virtuous cycle, further improved by edge computing. However, there is still a need for efficient solutions for edge-empowered IoV.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Civil
Pengyuan Zhou, Pranvera Kortoci, Yui-Pan Yau, Benjamin Finley, Xiujun Wang, Tristan Braud, Lik-Hang Lee, Sasu Tarkoma, Jussi Kangasharju, Pan Hui
Summary: The study introduces an Augmented Informative Cooperative Perception (AICP) system that optimizes the informativeness of shared data in connected vehicles. By selecting the most valuable data to display to drivers and filtering out irrelevant data, the system improves data fusion presentation. The experiments show that the system can enhance network performance without significant latency.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Proceedings Paper
Telecommunications
Walter Wong, Lorenzo Corneot, Aleksandr Zavodovskit, Jussi Kangasharju
Summary: AWS offers transient instances as a discounted option for unused capacity, but without availability guarantees. This paper presents PISTIS, a framework that ensures reliable computing resources over transient instances by proactively replacing failed components. Evaluation results show that PISTIS can achieve the same reliability as on-demand instances with up to 81% price reduction in the best cases.
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022)
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Lorenzo Corneo, Nitinder Mohan, Aleksandr Zavodovski, Walter Wong, Christian Rohner, Per Gunningberg, Jussi Kangasharju
Summary: Edge computing aims to improve application performance and address the issue of data streams generated by IoT devices. Through extensive real-world network measurements and analysis, optimal placement strategies for edge computing facilities can be determined.
2021 IFIP NETWORKING CONFERENCE AND WORKSHOPS (IFIP NETWORKING)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Lorenzo Corneo, Maximilian Eder, Nitinder Mohan, Aleksandr Zavodovski, Suzan Bayhan, Walter Wong, Per Gunningberg, Jussi Kangasharju, Joerg Ott
Summary: The study comprehensively examined the latency measurements from global clients to the cloud and found that modern cloud environments can easily support latency-critical applications for the majority of the world's population, such as cloud gaming.
PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2021 (WWW 2021)
(2021)
Proceedings Paper
Computer Science, Theory & Methods
Seng-Kyoun Jo, Lin Wang, Jussi Kangasharju, Max Muelhaeuser
2020 26TH IEEE INTERNATIONAL SYMPOSIUM ON LOCAL AND METROPOLITAN AREA NETWORKS (IEEE LANMAN)
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Otto Waltari, Jussi Kangasharju
PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20)
(2020)
Proceedings Paper
Computer Science, Hardware & Architecture
Aleksandr Zavodovski, Suzan Bayhan, Nitinder Mohan, Pengyuan Zhou, Walter Wong, Jussi Kangasharju
2019 39TH IEEE INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS 2019)
(2019)
Proceedings Paper
Computer Science, Information Systems
Pengyuan Zhou, Tristan Braud, Ahmad Alhilal, Pan Hui, Jussi Kangasharju
2019 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS)
(2019)
Proceedings Paper
Computer Science, Information Systems
Aleksandr Zavodovski, Nitinder Mohan, Suzan Bayhan, Walter Wong, Jussi Kangasharju
PROCEEDINGS OF THE 2ND ACM INTERNATIONAL WORKSHOP ON EDGE SYSTEMS, ANALYTICS AND NETWORKING (EDGESYS '19)
(2019)
Proceedings Paper
Computer Science, Hardware & Architecture
Pengyuan Zhou, Wenxiao Zhang, Tristan Braud, Pan Hui, Jussi Kangasharju
PROCEEDINGS OF THE 2019 22ND CONFERENCE ON INNOVATION IN CLOUDS, INTERNET AND NETWORKS AND WORKSHOPS (ICIN)
(2019)
Proceedings Paper
Computer Science, Theory & Methods
Aleksandr Zavodovski, Nitinder Mohan, Suzan Bayhan, Walter Wong, Jussi Kangasharju
HOTNETS-XVII: PROCEEDINGS OF THE 2018 ACM WORKSHOP ON HOT TOPICS IN NETWORKS
(2018)
Proceedings Paper
Computer Science, Information Systems
Tanya Shreedhar, Nitinder Mohan, Sanjit K. Kaul, Jussi Kangasharju
2018 IFIP NETWORKING CONFERENCE (IFIP NETWORKING) AND WORKSHOPS
(2018)
Proceedings Paper
Energy & Fuels
Seng-Kyoun Jo, Lin Wang, Jussi Kangasharju, Max Muehlhaeuser
E-ENERGY'18: PROCEEDINGS OF THE 9TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS
(2018)
Article
Engineering, Electrical & Electronic
Pengyuan Zhou, Tristan Braud, Aleksandr Zavodovski, Zhi Liu, Xianfu Chen, Pan Hui, Jussi Kangasharju
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2020)
Review
Computer Science, Information Systems
Euclides Carlos Pinto Neto, Sajjad Dadkhah, Somayeh Sadeghi, Heather Molyneaux, Ali A. Ghorbani
Summary: The Internet of Things (IoT) has the potential to revolutionize medical treatment in healthcare, but it also faces security threats. Advanced analytics can enhance IoT security, but generating realistic datasets is complex. This research conducts a review of Machine Learning (ML) solutions for IoT security in healthcare, focusing on existing datasets, resources, applications, and challenges, to highlight the current landscape and future requirements.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Duncan Deveaux, Takamasa Higuchi, Seyhan Ucar, Jerome Harri, Onur Altintas
Summary: This paper investigates the ability to predict the risk patterns of vehicles in a roundabout and suggests that constraining knowledge transfer to roundabouts with a similar context can significantly improve accuracy.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Lingjun Zhao, Qinglin Yang, Huakun Huang, Longtao Guo, Shan Jiang
Summary: Metaverse seamlessly integrates the real and virtual worlds, and intelligent wireless sensing technology can serve as an intelligent, flexible, non-contact way to access the metaverse and accelerate the establishment of a bridge between the real physical world and the metaverse. However, there are still challenges and open issues in this field.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Jing Xiong, Hong Zhu
Summary: With the rapid growth of data in the era of IoT, the challenge of data privacy protection arises. This article proposes a federated learning approach that uses collaborative training to obtain a global model without direct exposure to local datasets. By utilizing dynamic masking and adaptive differential privacy methods, the approach reduces communication overhead and improves the converge performance of the model.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Carlos Rubio Garcia, Simon Rommel, Sofiane Takarabt, Juan Jose Vegas Olmos, Sylvain Guilley, Philippe Nguyen, Idelfonso Tafur Monroy
Summary: The reliance on asymmetric public key cryptography and symmetric encryption for cyber-security in current telecommunication networks is threatened by quantum computing technology. Quantum Key Distribution and post-quantum cryptography provide resistance to quantum attacks. This paper proposes two novel hybrid solutions integrating QKD and PQC into TLS for quantum-resistant key exchange.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Annisa Sarah, Gianfranco Nencioni
Summary: This article explores the concept of a Slice Broker, an intermediate entity that purchases resources from Infrastructure Providers to offer customized network slices to users. The article proposes a cost-minimization problem and compares it with alternative problems to demonstrate its effectiveness and cost-saving capabilities.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Sumana Maiti, Sudip Misra, Ayan Mondal
Summary: The broadcast proxy re-encryption methods extend traditional proxy re-encryption mechanisms and propose a scheme called MBP for IoT applications. MBP calculates a single re-encryption key for all user groups and uses multi-channel broadcast encryption to reduce security element size. However, it increases computation time for receiver IoT devices. The use of Rubinstein-Stahl bargaining game approach addresses this issue and MBP is secure against selective group chosen-ciphertext attack in the random oracle model.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Pankaj Kumar, Hari Om
Summary: This paper presents NextGenV2V, a protocol for the next-generation vehicular network that achieves authenticated communication between vehicles using symmetric keys and a (2, n)-threshold scheme. The protocol reduces communication overhead and improves authentication delay, ensuring better security. Comparative analysis demonstrates the suitability of NextGenV2V in next-generation vehicular networks.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Eric Ossongo, Moez Esseghir, Leila Merghem-Boulahia
Summary: The implementation of 5G networks allows for the efficient coexistence of heterogeneous services in a single physical virtualized infrastructure. Virtualization of network functions enables more flexible resource management and customizable services. However, the increasing number of connected objects poses challenges in managing physical and virtual resources, requiring intelligent systems to ensure communication quality.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Suvrima Datta, U. Venkanna
Summary: The Internet of Things (IoT) enables real-time sensing and data transmission to make homes smarter. Effective device-type identification methods are crucial as the number of IoT devices continues to grow. In this paper, a P4-based gateway called PiGateway is proposed to classify and prioritize the type of IoT devices. By utilizing a decision tree model and flow rules, PiGateway enables real-time granular analysis and in-network classification of IoT traffic.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Fahad Razaque Mughal, Jingsha He, Nafei Zhu, Saqib Hussain, Zulfiqar Ali Zardari, Ghulam Ali Mallah, Md. Jalil Piran, Fayaz Ali Dharejo
Summary: This paper explores the relationship between heterogeneous cluster networks and federated learning, as well as the challenges of implementing federated learning in heterogeneous networks and the Internet of Things. The authors propose an Intra-Clustered FL (ICFL) model that optimizes computation and communication to select heterogeneous FL nodes in each cluster, enabling efficient processing of asynchronous data and ensuring data security.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Rajesh Kumar, Deepak Sinwar, Vijander Singh
Summary: This paper investigates the coexistence mechanisms between eMBB and URLLC traffic for resource scheduling in 5G. Through examining different approaches and performance metrics, it provides detailed insights for researchers in the field, and highlights key issues, challenges, and future directions.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Giovanni Nardini, Giovanni Stea
Summary: Digital Twins of Networks (DTNs) are proposed as digital replicas of physical entities, enabling efficient data-driven network management and performance-driven network optimization. DTNs provide simulation services for dynamic reconfiguration and fault anticipation, using discrete-event network simulators as the ideal tools. Challenges include centralized vs. distributed implementation, input gathering from the physical network, security issues and hosting. The possibilities of network simulation for what-if analysis are explored, with the concepts of lockstep and branching analysis defined.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Zhaolin Ma, Jiali You, Haojiang Deng
Summary: This paper presents the Distributed In-Network Name Resolution System (DINNRS), which leverages software-defined networking and Information-Centric Networking (ICN) paradigm to provide high scalability and minimal request delay. Our methods, including an enhanced marked cuckoo filter for fast resolving, achieve significant performance gains in simulation experiments.
COMPUTER COMMUNICATIONS
(2024)
Article
Computer Science, Information Systems
Yujie Wang, Ying Wang, Qingqing Liu, Yong Zhang
Summary: This paper proposes a dynamic indoor positioning method based on multi-scale metric learning of the channel state information (CSI). By constructing few-shot learning tasks, this method can achieve dynamic positioning using CSI signals without additional equipment. Experimental results show that compared to commonly used dynamic location and tracking algorithms, the proposed method has higher positioning accuracy and does not accumulate errors.
COMPUTER COMMUNICATIONS
(2024)