Article
Computer Science, Information Systems
Dapeng Man, Qi Lu, Hanbo Wang, Jiafei Guo, Wu Yang, Jiguang Lv
Summary: The Internet of Things (IoT) is a new network concept that focuses on connecting everything through the Internet. Meanwhile, Information-Centric Network (ICN) has gained popularity in recent years as a disruptive communication model that is information-centric. The proposed path cache method based on content correlation aims to make caching decisions more efficient and has been verified through simulation experiments.
COMPUTER COMMUNICATIONS
(2021)
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)
Article
Multidisciplinary Sciences
Tawfik Guesmi, Anwar Kalghoum, Badr M. Alshammari, Haitham Alsaif, Ahmed Alzamil
Summary: ICN has been developed as a potential candidate for future networks, focusing on content rather than communication channels. SDN has been proposed to improve networking architectures and combined with ICN to enhance network performance.
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
Computer Science, Hardware & Architecture
Babak Nikmard, Naser Movahhedinia, Mohammad Reza Khayyambashi
Summary: A new paradigm of Content-Centric Networks has emerged, employing prefix content names for addressing in Named Data Networking. Congestion control and avoidance are significant issues due to increasing traffic volume in NDN. Dynamic Cache Placement method can prevent congestion by distributing popular data to regions with less traffic load.
JOURNAL OF SUPERCOMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Liehuang Zhu, Md Monjurul Karim, Kashif Sharif, Chang Xu, Fan Li
Summary: This article proposes a UAV-assisted multi-layer IC-SDN solution to address content distribution challenges in UAV-assisted networks. It introduces distributed controllers placed hierarchically in the edge and cloud tiers and formulates the traffic optimization problem using a queueing allocation model. The proposed solution maximizes throughput and minimizes computational latency, delay, and packet loss, as shown through simulation and numerical evaluation.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Hardware & Architecture
Xiaolu Li, Renchao Xie, F. Richard Yu, Tao Huang, Yunjie Liu
Summary: Recent advances in edge intelligence, service-centric networking, and software-defined networking have individually impacted future networks and intelligent applications. This article proposes a software-defined service-centric networking (SDSCN) framework to advance edge intelligence towards general in-network intelligence, discussing the challenges in developing this framework.
Article
Energy & Fuels
Gustavo A. Nunez Segura, Cintia Borges Margi
Summary: In this study, an energy prediction algorithm using Markov chain was implemented for Software-Defined Wireless Sensor Networks, reducing the number of packets exchanged in traditional distributed routing protocols and improving network performance. By executing the prediction on the controller, better prediction results were obtained compared to running predictions on every node.
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
Youngjun Kim, Jinwoo Park, Yeunwoong Kyung
Summary: This paper proposes a mobility-aware hybrid flow rule cache scheme that determines whether to install flow rules proactively or reactively based on the delay requirement of incoming flows and the response delay of the controller. Simulation results show that the proposed scheme outperforms existing schemes in terms of flow table utilization ratio, flow rule installation delay, and flow rules hit ratio.
Article
Computer Science, Information Systems
Yichao Chao, Hong Ni, Rui Han
Summary: This paper proposes a Path Load-Aware Based Caching strategy (PLABC) that comprehensively considers content-related information and dynamic network-related information to make cache decisions, aiming to improve performance by balancing link load and reducing content delivery time.
Article
Chemistry, Multidisciplinary
Salman Rashid, Shukor Abd Razak, Fuad A. Ghaleb
Summary: This article discusses the importance of in-network caching in Content-Centric Networking (CCN) and the impact of placement and replacement policies on network performance and cache hit ratio. To address the issues with existing cache replacement policies, the article proposes a cache eviction policy based on content maturity, and simulations show that this policy outperforms other replacement policies in terms of cache hits, latency, path stretch, and link load reduction.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Bohao Feng, Aleteng Tian, Shui Yu, Jack Li, Huachun Zhou, Hongke Zhang
Summary: This article discusses the integration of IoT communications and content-centric networking and proposes an efficient popularity-based cache consistency management scheme to address the issue of outdated IoT data stored in CCN in-network caching.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Jin Qin, Kaiping Xue, Jian Li, Qibin Sun, Jun Lu
Summary: This paper proposes a service prioritization scheme to provide different caching services for heterogeneous content providers in order to improve overall network efficiency, achieving better results than existing works.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Article
Computer Science, Hardware & Architecture
Wajid Rafique, Abdelhakim Senhaji Hafid, Soumaya Cherkaoui
Summary: Software-Defined Networking (SDN) and Information-Centric Networking (ICN) are complementary technologies that reduce network traffic and service provisioning delays in IoT services through content caching. This study proposes a framework called SoftCaching that optimizes caching node selection and routing path computation to improve performance metrics such as delay, link load, hop count, path stretch, and energy consumption. The evaluation experiments demonstrate that SoftCaching outperforms existing caching schemes.
Article
Computer Science, Information Systems
Wilayat Khan, Aakash Ahmad, Aamir Qamar, Muhammad Kamran, Muhammad Altaf
Summary: The article proposes a new anti-phishing solution that relies on the overall visual appearance of web pages to prevent phishing attacks. The authors developed a browser extension called SpoofCatch, which uses visual similarity comparison algorithms for identification and conducted large-scale experiments to validate its effectiveness.
Article
Computer Science, Hardware & Architecture
Anam Javaid, Asma Rafiq, Maaz Rehan, M. Mustafa Rafique, M. Kamran, Ehsan Ullah Munir
Summary: This paper proposes a novel mechanism for uninterrupted connectivity in high density mobile wireless environments, ensuring seamless handover and providing high network throughput and low end-to-end delay through clustering and handover management.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
(2021)
Article
Computer Science, Hardware & Architecture
Adi Alhudhaif, Ammar Saeed, Talha Imran, Muhammad Kamran, Ahmed S. Alghamdi, Ahmed O. Aseeri, Shtwai Alsubai
Summary: This paper presents the application of image classification in the domain of vehicle classification, using pre-trained CNN model and particle swarm optimization algorithm for autonomous vehicle classification. Through empirical evaluations and statistical tests, the model demonstrates outstanding performance in terms of accuracy, training time, and speed prediction.
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
(2022)
Article
Chemistry, Analytical
Mehvish Fatima, Muhammad Wasif Nisar, Junaid Rashid, Jungeun Kim, Muhammad Kamran, Amir Hussain
Summary: The proposed digital fingerprinting technique in the cloud environment provides a robust and efficient solution for protecting numeric attributes in relational databases, addressing the need for digital privacy management.
Article
Engineering, Multidisciplinary
Muhammad Ibrar, Aamir Akbar, Syed Rooh Ullah Jan, Mian Ahmad Jan, Lei Wang, Houbing Song, Nadir Shah
Summary: The convergence of Software-Defined Networking (SDN) and Internet of Vehicular (IoV) integrated with Fog Computing (FC), known as Software Defined Vehicular based FC (SDV-F), aims to efficiently control wireless networks and tackle various challenges. However, it lacks an effective approach to enable ultra-reliable and delay-sensitive applications with high vehicle mobility. In this paper, a new AI-based Vehicle-to-Everything (V2X) framework called ARTNet is proposed for resource distribution and optimized communication using the SDV-F architecture. Experimental results show that ARTNet can efficiently distribute fog layer tasks and minimize delay in a dynamic IoV environment.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Cybernetics
Muhammad Ibrar, Lei Wang, Aamir Akbar, Mian Ahmad Jan, Nadir Shah, Shahbaz Akhtar Abid, Michael Segal
Summary: The social Internet of Things (SIoT) integrates the concepts of social networking and IoT into a collaborative edge computing (CEC) based architecture, addressing the social and spatial physical trade-off problem. The novel 3-D-social identifier structure (3-D-SIS) model minimizes end-to-end delay and communication cost to improve performance in social device-to-device (S-D2D) communication. Validation using real traces of social networks show that 3-D-SIS selects the best neighbor and enhances end-to-end delay and throughput.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2022)
Article
Chemistry, Analytical
Mudassar Hussain, Nadir Shah, Rashid Amin, Sultan S. Alshamrani, Aziz Alotaibi, Syed Mohsan Raza
Summary: Software-defined networking (SDN) is an innovative network architecture that separates control and management from data plane, simplifying network manageability and programmability. This paper evaluates and compares several existing approaches in SDN implementation process, covering network testing, flow rule installation, network security, memory management, simulators and emulators, programming languages, and controller platforms. It also discusses the benefits and limitations of these approaches and provides future research guidelines.
Article
Engineering, Civil
Aamir Akbar, Muhammad Ibrar, Mian Ahmad Jan, Lei Wang, Nadir Shah, Houbing Herbert Song
Summary: Since millions of smart vehicles in Internet-of-Vehicles (IoV) produce and relay data, creating social networks of vehicles in IoV is crucial for the future Intelligent Transportation System (ITS). However, the IoV architecture has been fragmented to meet the needs of different work domains. To address these problems, the concept of Social IoV (SIoV) was introduced. One of the challenges in SIoV is the rapid growth and depletion of social relations between vehicles due to the dynamic and unstable nature of IoV. Therefore, we propose an adaptive clustering technique called SeAC to improve the stability and efficiency of SIoV.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Muhammad Ibrar, Lei Wang, Nadir Shah, Ori Rottenstreich, Gabriel-Miro Muntean, Aamir Akbar
Summary: To improve the performance of communication infrastructure in smart cities, the integration of Fog Computing and Software-Defined Networking has been proposed. This integrated architecture meets the requirements of IoT applications in terms of manageability, scalability, reliability, and latency. This paper proposes reliability-aware flow distribution and optimization algorithms that distribute flows based on link reliability levels, minimizing the impact of link failure on time-critical flows in smart cities.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Tauqeer Safdar Malik, Kaleem Razzaq Malik, Ayesha Afzal, Muhammad Ibrar, Lei Wang, Houbing Song, Nadir Shah
Summary: In this paper, we propose a reinforcement learning-based routing approach in the cognitive radio network-based Internet of Things (IoT) environment to achieve higher data rates and minimize end-to-end routing delays. Our evaluation results show that the proposed model outperforms existing approaches in terms of data rate, throughput, packet collision, and end-to-end delay.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Ahmed S. Alghamdi, Ammar Saeed, Muhammad Kamran, Khalid T. Mursi, Wafa Sulaiman Almukadi
Summary: This paper proposes a hybrid model for vehicle classification, which integrates a pre-trained Convolutional Neural Network (CNN) and an evolutionary feature selection model. The model achieves accurate classification of eight different vehicle categories and outperforms other kernels and existing works in terms of performance.
Article
Chemistry, Multidisciplinary
Mushtaq Khan, Rahim Khan, Nadir Shah, Abdullah Ghani, Samia Allaoua Chelloug, Wasif Nisar, Jason Teo
Summary: This paper presents a neighborhood-based smart slot allocation scheme for IoT networks, with a focus on mobile devices. The scheme resolves concurrent communication issues by maintaining two types of slots (dedicated and reserved) and assigning them to devices based on a FCFS basis. Simulation results show that the proposed scheme outperforms existing approaches in terms of lifetime, slot allocation, and slot waiting time.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Multidisciplinary
Muhammad Ibrar, Lei Wang, Aamir Akbar, Mian Ahmad Jan, Venki Balasubramanian, Gabriel-Miro Muntean, Nadir Shah
Summary: This paper proposes an adaptive capacity task offloading solution for social industrial IoT based on device-to-device communications and social relationships. Experimental results show that the proposed approach outperforms existing methods.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Muhammad Kamran, Ahmed Abdul-Aziz Almaghthawi
Summary: E-health is a promising field of research with immense potential for the benefit of humanity. In this paper, an efficient Intelligent Electronic Medical Record system for antenatal care is proposed, using Case-Based Reasoning to predict patient diagnosis in noisy environments. The experimental results confirm the soundness of the approach and highlight the importance of collaborative efforts from various stakeholders, including medical professionals, software developers, and researchers, for enhancing the performance of e-health.
INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING
(2022)
Article
Computer Science, Information Systems
Ahmed S. Alghamdi, Surayya Naz, Ammar Saeed, Eesa Al Solami, Muhammad Kamran, Mohammed Saeed Alkatheiri
Summary: This research discusses the application of watermarking and blockchain technology in relational databases to protect digital copyrights. The proposed scheme utilizes blockchain as a trusted third party and employs zero watermarking approach, effectively securing the watermark from tampering.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
