Article
Computer Science, Theory & Methods
Deepak Choudhary, Roop Pahuja
Summary: This study proposes a solution for improving the performance of Transmission Control Protocols (TCP) in Vehicle Ad hoc Networks (VANETs) by introducing zone-based routing with consideration for mobility. A hybrid optimization algorithm (ABC) is used, which combines Ant Colony Optimization (ACO) and Artificial Bee Colony Optimization (ABCO), with link stability and residual energy as the basis of the fitness function. The effectiveness of the proposed method is evaluated using measures such as delivery ratio, time, and overhead, and compared with other algorithms.
JOURNAL OF BIG DATA
(2023)
Article
Chemistry, Multidisciplinary
Rafiya Sohail, Yousaf Saeed, Abid Ali, Reem Alkanhel, Harun Jamil, Ammar Muthanna, Habib Akbar
Summary: Diabetes is a chronic disease that requires continuous management, and diabetic drivers are found to be the main cause of major road accidents. This research proposes a novel approach using wearable sensors, machine learning, and VANET technology to monitor the diabetic condition of drivers and reduce the accident rate. The performance evaluation shows that the random forest algorithm achieves the highest accuracy compared to other algorithms and previous approaches, ranging from 90.3% to 99.5%.
APPLIED SCIENCES-BASEL
(2023)
Article
Telecommunications
Biswa Ranjan Senapati, Pabitra Mohan Khilar, Rakesh Ranjan Swain
Summary: Vehicular Ad-hoc NETwork (VANET) is a rapidly growing research area with diverse applications, and the failure of the vehicle communication unit can lead to the loss of multiple applications. This paper proposes a composite fault diagnosis methodology for detecting and classifying OBU faults in VANET, utilizing statistical methods for detecting and categorizing both hard and soft faults.
VEHICULAR COMMUNICATIONS
(2021)
Article
Telecommunications
Abir Mchergui, Tarek Moulahi, Sherali Zeadally
Summary: Advancements in communications, smart transportation systems, and computer systems have opened up new possibilities for intelligent solutions in traffic safety and convenience. Artificial Intelligence (AI) is currently being utilized in the field of Vehicular Ad hoc NETworks (VANETs) to enhance conventional data-driven methods and improve passenger comfort, safety, and road experience.
VEHICULAR COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Haiyang Yu, Runkun Liu, Zhiheng Li, Yilong Ren, Han Jiang
Summary: This study focuses on balancing efficiency and coverage by establishing an RSU deployment strategy based on traffic demand. Simulation results show that covering 25% of the road segments with RSUs can serve most vehicles and reduce the delay of VANETs. Furthermore, road networks with high traffic demand require more RSUs to achieve the same effect, and early RSU investment is more cost effective.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Chemistry, Analytical
Sofia Azam, Maryum Bibi, Rabia Riaz, Sanam Shahla Rizvi, Se Jin Kwon
Summary: Vehicular Ad-hoc network (VANET) is a technology with exciting prospects and significant security challenges. Despite various strategies proposed to detect network attacks, VANET is still susceptible to different attacks, especially Sybil attack. To address this issue, a novel collaborative framework based on majority voting is proposed to detect Sybil attack by ensembling individual classifiers.
Review
Computer Science, Interdisciplinary Applications
Faruk Baturalp Gunay, Ercument Ozturk, Tugrul Cavdar, Y. Sinan Hanay, Atta ur Rehman Khan
Summary: Localization has become a significant research area, particularly within Vehicular Ad Hoc Networks (VANET), where GPS technology and advancements in Internet of Things (IoT) have played crucial roles. Future research directions include examining the pros and cons of different methodologies.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2021)
Article
Computer Science, Information Systems
L. Ellen Funderburg, Huimin Ren, Im-Yeong Lee
Summary: VANETs are a type of Internet of Things system where vehicles communicate with each other and infrastructure to improve safety and quality of life. Security in VANETs requires vehicles to be accountable for accurate reporting and quick message security. The paper introduces a pairing-free signature scheme for VANETs to prevent identity forgery.
Article
Telecommunications
Faezeh Abbasi, Mani Zarei, Amir Masoud Rahmani
Summary: This paper proposes a fuzzy logic-based vehicle weighting model FWDP for scheduling prioritized data in VANETs. It employs RSUs and FCMC to control data propagation and manage clustered vehicles competing for shared channels.
VEHICULAR COMMUNICATIONS
(2022)
Article
Automation & Control Systems
Jing-Xuan Liu, San-Bo Ding, Lei Zhang, Xiang-Peng Xie
Summary: This article focuses on vehicle platooning control over vehicular ad-hoc networks (VANETs). An event-driven intermittent control method is developed to reduce control costs and extend the operating life of controllers while ensuring the desired platooning performance. By establishing boundary functions and Lyapunov function, the control input is determined based on the trajectories of these functions. Sufficient conditions for platooning control performance analysis are derived using linear matrix inequalities.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Engineering, Electrical & Electronic
Haitao Zhao, Jiawen Tang, Bamidele Adebisi, Tomoaki Ohtsuki, Guan Gui, Hongbo Zhu
Summary: An adaptive vehicle clustering algorithm based on fuzzy C-means algorithm is proposed in this paper, aiming to minimize the power consumption of vehicles. By dynamically allocating computing resources and selecting clustering heads, the algorithm can decrease power consumption while satisfying vehicle delay requirements, as confirmed by simulation results.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Amit Kumar Goyal, Gaurav Agarwal, Arun Kumar Tripathi, Mangal Sain
Summary: This research article proposes an IP multicast-enabled handover architecture for VANET in PMIPv6, aiming to provide secure handover management. By adding the IP multicast facility to the authentication server, handover management both within and between domains can be achieved. Additionally, a secure architecture with authentication capabilities built on top of PMIPv6 is suggested for VANET to address the authentication problem. The article compares the performance of the proposed architecture with the existing ones by varying several factors and shows that our solution ensures the handover process with a minimal cost change.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Shihai Ren, Junhui Zhao, Huan Zhang, Xuan Li
Summary: This paper focuses on the uncertainty of inter-vehicle packet transmission delay caused by the complex channel environment and co-channel interference in urban VANETs. The connectivity probability of urban VANETs is analyzed under complete and incomplete information, taking into account the time-varying nature of co-channel interference and channel fading as delay jitter. The probability distribution of co-channel interference is estimated when complete information is unavailable, and the connectivity performance of vehicle-to-vehicle (V2V) links is derived from the signal interference plus noise ratio (SINR) of the destination V2V link. Various factors such as transmit power, packet arrival rate, number of channels and vehicles, and distance between vehicles are analyzed for their impact on connectivity.
Article
Computer Science, Information Systems
Alireza Aghabagherloo, Mahshid Delavar, Javad Mohajeri, Mahmoud Salmasizadeh, Bart Preneel
Summary: Vehicular ad-hoc networks (VANETs) play a crucial role in enhancing traffic safety and efficiency by providing a communication platform for real-time information sharing. This paper proposes a secure and efficient Conditional Privacy-Preserving Authentication (CPPA) scheme to address the security requirements of data authentication and privacy preservation in VANETS, with improved performance compared to existing schemes.
Article
Computer Science, Information Systems
Duc N. M. Hoang, Jong Myung Rhee, Sang Yoon Park
Summary: Mobile ad hoc networks (MANETs) are suitable for scenarios that require rapid deployment of communication systems. This study proposed a fault-tolerant ad hoc on-demand routing protocol (FT-AORP) for MANETs, which improves performance by optimizing data transmission paths.
Article
Telecommunications
Ansif Arooj, Muhammad Shoaib Farooq, Tariq Umer, Rafi Us Shan
Summary: Vehicles have evolved from passive components to intelligent networks with cognitive capabilities, thanks to advancements in technologies. They can now interact, analyze, and predict information to address natural disasters.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Telecommunications
Muhammad Saqib Nawaz, Meng Sun, Basit Shahzad, M. Ikram Ullah Lali, Tariq Umer, Shaohua Wan
Summary: In this paper, a formal model of MQTT protocol is proposed under the Unifying Theories of Programming (UTP) semantic framework. The refinement and equivalence relations between different levels of quality of service (QoS) in MQTT are established and proved using the Prototype Verification System (PVS) proof assistant.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Computer Science, Software Engineering
Ayesha Naz, Hafiz M. Asif, Tariq Umer, Shahid Ayub, Fadi Al-Turjman
Summary: This article introduces a positioning system design using visible light communication technology, involving transmit diversity, receive diversity, and angle diversity schemes. By utilizing transmit and receive diversity structures, accurate target location can be obtained; while angle diversity considers the orientation of the transmitter and receiver. This system allows for LED communication at different locations in the room, offering flexibility and precision.
SOFTWARE-PRACTICE & EXPERIENCE
(2021)
Article
Telecommunications
Arslan Khalid, Faizan Rashid, Umair Tahir, Hafiz M. Asif, Fadi Al-Turjman
Summary: This study introduces a novel design of a VLC system utilizing MC-CDMA technique and ESIM framework to enhance system performance, optimizing PAPR, BER, and data rate through Discrete Wavelet Transform. Simulation results demonstrate the superior performance of the proposed system compared to existing systems.
WIRELESS PERSONAL COMMUNICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Ayesha Rashid, Muhammad Shoaib Farooq, Adnan Abid, Tariq Umer, Ali Kashif Bashir, Yousaf Bin Zikria
Summary: This article presents a systematic literature review of intention mining, a promising research area in data mining that aims to determine end-users' intentions. The analysis reveals eight prominent categories of intention, discusses the taxonomy of approaches and techniques used for intention mining, and explores six important types of datasets used in this field. Future challenges and research gaps are also presented.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Engineering, Civil
Shaohua Wan, Renhao Gu, Tariq Umer, Khaled Salah, Xiaolong Xu
Summary: The development of 5G network provides historic opportunities for the EC-IoV system, but also increases the complexity of network connectivity, posing challenges for resource migration and scheduling for edge devices.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Engineering, Multidisciplinary
Sadia Murawwat, Hafiz M. Asif, Sana Ijaz, Muhammad Imran Malik, Kaamran Raahemifar
Summary: A hybrid technique using MEMD and ANN is proposed for detecting and classifying Arrhythmia, achieving higher accuracy compared to other existing techniques.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Computer Science, Information Systems
Momina Shaheen, Muhammad Shoaib Farooq, Tariq Umer, Byung-Seo Kim
Summary: The paper provides an overview of the federated learning technique and its applicability in various domains, focusing on its adoption in edge networks. It presents a systematic literature review of recent research studies, comparing algorithms, models, and frameworks of federated learning. The study reveals the utilization of federated learning in different industries and domains, such as IoT, healthcare, NLP, autonomous vehicles, mobile services, recommender systems, and FinTech. Additionally, it proposes a taxonomy for implementing federated learning in edge networks. The paper also discusses the challenges faced in implementing the federated learning technique, including statistical heterogeneity, system heterogeneity, data imbalance, resource allocation, and privacy.
Review
Computer Science, Hardware & Architecture
Ansif Arooj, Muhammad Shoaib Farooq, Tariq Umer
Summary: Blockchain technology has created new research domains in multiple industries due to its extensive characteristics. This study collects relevant research since the inception of blockchain technology and provides a comprehensive assessment and analysis of the state of the art techniques and applications in different industries.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2022)
Article
Multidisciplinary Sciences
Jawad Rasheed, Ahmad B. Wardak, Adnan M. Abu-Mahfouz, Tariq Umer, Mirsat Yesiltepe, Sadaf Waziry
Summary: This paper proposes an automatic and accurate noise detector to identify the type of noise present in QR code images. It generates a dataset comprising original and noisy images, and uses CNN, SVM, and LG models for image classification. Histogram density analysis is incorporated to identify the noise type. The results show that histogram analysis significantly improves classification accuracy.
Article
Physics, Multidisciplinary
Muhammad Shoaib Farooq, Haris Khalid, Ansif Arooj, Tariq Umer, Aamer Bilal Asghar, Jawad Rasheed, Raed M. M. Shubair, Amani Yahyaoui
Summary: The major challenge faced by autonomous vehicles today is driving through busy roads without getting into an accident, especially with a pedestrian. This article proposes a framework based on Deep Reinforcement Learning (DRL) using Scale Invariant Faster Region-based Convolutional Neural Networks (SIFRCNN) technologies to efficiently detect pedestrian operations through which the vehicle, as agents train themselves from the environment and are forced to maximize the reward. The experimental results show an average improvement of 2.3% miss rate of pedestrian detection at nighttime compared to the other CNN-based pedestrian detectors.
Article
Chemistry, Multidisciplinary
Ghulam Rasool, Yasir Hussain, Tariq Umer, Jawad Rasheed, Sook Fern Yeo, Fatih Sahin
Summary: Software design patterns have a proven impact on software quality and development process. Existing mobile game design patterns and frameworks are not truly beneficial for game developers. This paper proposes a new taxonomy that emphasizes top-level structure for identifying new design patterns for mobile games. Additionally, five novel generic design patterns are presented that could be applied to the development of mobile games and other software applications.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Analytical
Affan Affan, Hafiz M. Asif, Naser Tarhuni
Summary: This paper proposes using a two-way visible light communication link to estimate the position of the end-agent and allocate resources using machine learning algorithms and a simplified gain ratio power allocation scheme. It also utilizes the Euclidean Distance Matrix to estimate the location of the end-agent whose signal was lost due to shadowing.
Article
Telecommunications
Naser Tarhuni, Ibtihal Al Saadi, Hafiz M. Asif, Mostefa Mesbah, Omer Eldirdiry, Abdulnasir Hossen
Summary: Future mobile network operators and telecommunications authorities aim to provide reliable network coverage. In this study, a drone was used to measure signal strength at discrete points above the ground, and an artificial neural network (ANN) was used to process the data and predict signal strength at ground level. The proposed method achieved high accuracy in predicting ground level coverage and had low mean square error (MSE) in predicting signal strength.
JOURNAL OF SENSOR AND ACTUATOR NETWORKS
(2023)
Article
Computer Science, Information Systems
Ahmad Arsalan, Muhammad Burhan, Rana Asif Rehman, Tariq Umer, Byung-Seo Kim
Summary: In this paper, a novel accumulative Interest-based content-store architecture called E-DRAFT is proposed for NDN-based WMSNs to improve the efficiency of individual nodes as well as the overall network, and to control packet flooding. The ndnSIM simulator is used for comprehensive simulations, and the results show that the proposed approach effectively stops additional packet flooding and enhances processing efficiency in storing and retrieving Data packets compared to existing methodologies.
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.
