A5033886992- Vehicular Ad Hoc Networks (VANETs)
- Autonomous Vehicle Technology and Safety
- Wireless Networks and Protocols
- Software-Defined Networks and 5G
- Advanced MIMO Systems Optimization
- Advanced Wireless Network Optimization
- Traffic control and management
- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Wireless Communication Networks Research
- IPv6, Mobility, Handover, Networks, Security
- Cooperative Communication and Network Coding
- Transportation and Mobility Innovations
- Privacy-Preserving Technologies in Data
- Game Theory and Applications
- Mobile Agent-Based Network Management
- Network Security and Intrusion Detection
- Network Traffic and Congestion Control
- Mobile Ad Hoc Networks
- Traffic Prediction and Management Techniques
- ICT Impact and Policies
- Advanced Neural Network Applications
- Opinion Dynamics and Social Influence
- Internet Traffic Analysis and Secure E-voting
- Service-Oriented Architecture and Web Services
Nokia (United States)
2024-2025
United Arab Emirates University
2020-2024
Shaukat Khanum Memorial Cancer Hospital and Research Center
2024
Khyber Medical College
2023
Sai Krishna Medical College & Hospital
2023
Bolan University of Medical and Health Sciences
2021
Institute of Ophthalmology
2021
Technische Universität Berlin
2011-2020
Gomal University
2017
Hazara University
2017
Autonomous driving is a rapidly developing technology that also source of debate. People believe autonomous vehicles will provide better future by increasing road safety, lowering infrastructure expenses, and improving mobility for children, the old, disabled. On other hand, many individuals are concerned about incidences automotive hacking, likelihood fatal crashes, loss driving-related professions. is, without question, complex problematic people. To comprehend how safe self-driving cars...
In this paper, we study game dynamics and learning schemes for heterogeneous 4G networks. We introduce a novel scheme called cost-to-learn that incorporates the cost to switch, switching delay, of changing new action and, captures realistic behavior users have experimented on OPNET simulations. Considering dynamic uncertain environment where operators only numerical value their own payoffs as information, construct various combined fully distributed payoff strategy reinforcement...
Information and communication technologies (ICTs) have a profound impact on the current state envisioned future of automobiles. This paper presents an overview research ICT-based support assistance services for safety connected vehicles. A general classification brief description focus areas development in this direction are given under titles vehicle detection, road lane pedestrian drowsiness collision avoidance. Following taxonomy reviewed articles, categorized literature survey critical...
Emerging vehicular applications with strict latency and reliability requirements pose high computing requirements, current vehicles' computational resources are not adequate to meet these demands. In this scenario, vehicles can get help process tasks from other resource-rich platforms, including nearby vehicles, fixed edge servers, remote cloud servers. Nonetheless, different communication network (VCN) modes need be utilized access resources, improving networks' performance quality of...
Cellular vehicle-to-everything (C-V2X) is one of the enabling vehicular communication technologies gaining momentum from standardization bodies, industry, and researchers aiming to realize fully autonomous driving intelligent transportation systems. The 3rd Generation Partnership Project (3GPP) body has actively been developing standards evolving 4G-V2X 5G-V2X providing ultra-reliable low-latency communications higher throughput deliver solutions for advanced C-V2X services. In this survey,...
The current state of the art evolutionary coalitional game theory in wireless networking and communications is captured this article, where solutions are discussed under their related applications. Fully distributed algorithms for global optima network selection games examined. Then problem dynamic formation networks investigated. This article also points out open research issues, new interests, developments interdisciplinary field.
Training autonomous vehicles require rigorous and comprehensive testing to deal with a variety of situations that they expect undergo on roads in real-time. The physical driving has always been hindered; by the infrastructure costs, high-performance systems, sensors, communication devices, jeopardizing safety people real world. That is where simulation helps filling gap democratizes research. There are plenty simulators test solutions, CARLA one them. powerful simulator encompasses tools...
Automated driving is expected to enormously evolve the transportation industry and ecosystems. Advancement in communications sensor technologies have further accelerated realization process of autonomous goals. There are a number initiatives around world with varying objectives scope, e.g. vehicle perception controlled environment or highway settings. Autonomous more complex mixed traffic poses major challenges. The solutions for such environments focus this paper. We start quick overview...
Recently, the telecommunication standard development body reported LTE support for V2X services-based use cases along with their potential requirements. However, these requirements overlap and require a huge effort to understand. Therefore, it is imperative know outcomes of categorization In this paper, we provided an overview cases, outcomes, comparison between based on i.e. latency, message size, mobility performance, response time, frequency, anonymity integrity, reliability,...
Mobile Ad-hoc Network (MANET) is a distributed, decentralized network of wireless portable nodes connecting directly without any fixed communication base station or centralized administration. Nodes in MANET move continuously random directions and follow an arbitrary manner, which presents numerous challenges to these networks make them more susceptible different security threats. Due this nature their overall architecture, combined with the limitation hardware resources, those...
The cooperative, connected, and automated mobility (CCAM) infrastructure plays a key role in understanding enhancing the environmental perception of autonomous vehicles (AVs) driving complex urban settings. However, deployment CCAM necessitates efficient selection computational processing layer machine learning (ML) deep (DL) models to achieve greater performance AVs environments. In this paper, we propose framework analyze effectiveness custom-trained DL model (YOLOv8) when deployed diverse...
Maintaining interconnectivity between dynamic vehicular nodes and ensuring trust in networking is still a challenging issue. It crucial for the environments to maintain stable further prevent from broadcasting fake messages simultaneously protect vehicles against tracking attacks. An efficient Trust Management System (TMS) proposed this paper that will ensure trustworthiness entities assure road safety reliable communication. The approach incorporates novel timestamp mechanism block chain...