DFROG‐MAC: A Dynamic Fragmentation‐Based MAC for Prioritised Emergency Data Management in Vehicular Networks

The integration of 5G and VANET will result in an intelligent transportation system. Relay of 5G data from mobile networks to VANET which is greatly underutilized can reduce the burden on mobile networks. Wireless technology has been used in vehicles or better known as the Vehicular Ad hoc Network (VANET). One of the keys to the success of sending data on VANET is the Path Selection Algorithm which is the task of the routing protocol. The routing protocol that is widely used in research in the VANET environment is AODV (Adhoc On-Demand Distance Vector), because among other protocols, AODV is the most suitable and suitable for implementation in the VANET environment, and AODV is also one of the reactive routing protocols. This study includes an increase in the performance of a routing protocol, so in this study, the SIN (Static Intersection Node) is added to the RSU (Road-Side Unit) which is located at an intersection. Which functions as a repeater that helps send data packets to other vehicles around it so that it can increase the Packet Delivery Ratio and minimize Packet Loss and End to End Delay. The focus of this research is to determine the most ideal Static Intersection Node position as well as the most effective number of Static Intersection Nodes.

Past few decades have witnessed large increase in number of vehicles on roads due to which the traffic safety needs have also become complex and hence necessary to be taken care of. Vehicular ad hoc networks (VANETs) are becoming an asset for achieving all these goals. VANETs provide applications like driver assistance, passenger comfort and vehicle safety. Apart from its general characteristics due to the dynamic nature of road environments and traffic patterns, communication linkage among vehicles in VANETs suffers breakage problem hence requires a very reliable routing protocol. To manage the communication efficiently many routing protocols are already available for MANETs which can be further used for routing and communication among vehicles in VANETs, but characteristics of these two networks (VANET and MANET) are very different, so there is requirement to enhance these MANET routing protocols so that those can be used in VANETs. When we use some existing routing protocols in VANET then number of link breakage are surprisingly high because mobility is higher in VANETs as compared to MANETs. So this paper presents advanced version of an existing MANET routing protocol for better performance in VANET environment. The new routing protocol has removed problem of large number of routing error messages which was existing in AODV routing protocol. Protocol proposed in this paper has better results as compared to AODV and paper has also shown results of simulation and also elaborated the findings.

A comparative classification of information dissemination approaches in vehicular ad hoc networks from distinctive viewpoints: A survey

The emergence of the Internet of Things (IoT) is gradually changing people’s lives and is widely used in various fields. Wireless body area networks (WBAN) and vehicular ad-hoc networks (VANET) are typical examples of IoT applications. In both environments, an attacker can tamper, intercept, and eavesdrop on data transmitted in the public channel. Therefore, it is necessary to design authentication and key agreement (AKA) protocols to protect the communication of entities. Recently, Wu et al. proposed a novel AKA protocol in WBAN. Jagriti et al. proposed an anonymous AKA protocol in VANET. In this paper, we analyse of Wu et al.’s protocol and Jagriti et al.’s protocol, respectively. Unfortunately, we find that Wu et al.’s protocol cannot resist sensor node capture attacks, and Jagriti et al.’s protocol cannot resist session key disclosure attacks, on board unit (OBU) capture attacks, and man-in-the-middle attacks. Finally, we propose some suggestions for the two protocols.

As urban populations grow, cities face increasing challenges in developing transportation systems that are both efficient and secure. Vehicular Ad Hoc Networks (VANETs) provide a promising solution by enabling real-time communication between vehicles and infrastructure, improving road safety and optimizing traffic flow. However, VANETs encounter issues related to data integrity, privacy, and scalability. The integration of blockchain technology offers a secure, decentralized framework for data sharing and identity verification. This chapter introduces a blockchain-enhanced VANET architecture that tackles these challenges by, Proof-of-Work (PoW) consensus for VANETs, enabling vehicles and infrastructure nodes to share computational efforts with the help of collabrative mining. This approach addresses the resource constraints and real-time requirements typical in VANET environments. enhancing security, reducing traffic delays, and improving system resilience, offering a transformative approach to urban mobility.

The exploration of Vehicular Ad Hoc Networks (VANETs) has garnered attention from scholars and businesses alike because of their changing structure and expected traffic flow patterns. VANETs offer an avenue to boost road safety by offering drivers up-to-the-minute updates and predictions regarding road conditions. As a version of Mobile Ad Hoc Networks (MANETs) VANETs consist of units that can communicate wirelessly and share information. This study explores elements of VANET (Vehicular Ad Hoc Networks) such, as structures and functions of networks connection points and the issues and methods used for guiding traffic efficiently to create a secure and dependable communication network system. Key indicators of performance like how many packets delivered (Packet Delivery Ratio. PDR) packet losses experienced during transmission processes are carefully analyzed to gauge the overall reliability of the system. Additionally, the research includes a comparison among routing strategies employed in VANET environments such as those based on network topology information or geographical location details, versus approaches centered around organized clusters of vehicles. Highlighting how these differ from methodologies typically seen in traditional cellular networks. This paper provides insights into how different routing protocols work in networking paradigms by examining different perspectives.

Vehicular Ad Hoc Networks (VANETs) have the potential to become viable to Intelligent Transportation System (ITS) real-world applications. Vehicles' high mobility along with real-world application scalability are some of the main challenges in this network environment. The various mobility-based characteristics can be exploited by forming clusters of vehicles with similar attributes within the network. Clustering in VANET environments is an approach that converts the network structure from flat into hierarchical by dividing the network into groups of vehicles, called clusters. One of the main requirements for effective VANET clustering is stability given the dynamicity of the environment. This paper presents a multi-head clustering algorithm that utilizes mobility-based metrics to form clusters in a vehicular network. The proposed algorithm assumes that each vehicle can be a member of multiple clusters, thus creating stable clusters that are robust in this environment. Several simulations are carried out to test the algorithm's effectiveness under different scenarios. The proposed algorithm is also compared against a previously presented algorithm, called Double-Head Clustering Algorithm. The performance evaluation is based on metrics regarding the clusters' lifetime. The results outline that the presented algorithm outperforms the clustering algorithm of the bibliography both in cluster stability and cluster size.

A stable and reliable routing mechanism for vehicular ad hoc networks (VANETs) is an important step toward the provision of long data transmission applications, such as file sharing and music download. Traditional mobile ad hoc network (MANET) routing protocols are not suitable for VANET because the mobility model and environment of VANET are different from those of traditional MANET. To solve this problem, we proposed a new stable routing algorithm, called stable directional forward routing. The novelty of the proposed routing protocol is its combining direction broadcast and path duration prediction into ad hoc on-demand distance vector routing protocols, which including: (1) Nodes in VANET are grouped based on the position, only nodes in a given direction range participating in the route discovery process to reduce the frequency of flood requests, (2) Route selection is based on the link duration while not the hops or other metrics to increase the path duration, (3) Route discovery is executed before the path expiration in order to decrease the end to end delay. The performance of the new scheme is evaluated through extensive simulations with Qualnet. Simulation results indicate the benefits of the proposed routing strategy in terms of decreasing routing control packet, reducing the number of link-breakage events, improving the packet delivery ratio and decreasing the end-to-end delay.

A Vehicular Ad-Hoc Networks (VANETs) is the technology that uses moving cars as nodes in a network to create a mobile network. VANETs turn every participating car into a wireless router, allowing cars of each other to connect and create a network with a wide range. VANETs are developed for enhancing the driving safety and comfort of automotive users. The VANETs can provide wide variety of service such as Intelligent Transportation System (ITS) e.g. safety applications. Many of safety applications built in VANETs are required real-time communication with high reliability. One of the main challenges is to avoid degradation of communication channels in dense traffic network. Many of studies suggested that appropriate congestion control algorithms are essential to provide efficient operation of the network. However, most of congestion control algorithms are not really applicable to event-driven safety messages. In this paper we propose congestion control algorithm as solution to prevent congestion in VANETs environment. We propose a complete validation method and analyse the performance of our congestion control algorithms for event-driven safety messages in difference congested scenarios. The effectiveness of the proposed congestion control algorithm is evaluated through the simulation using Veins simulator.

Vehicular networks are the combination of transport systems and the internet systems formed with the main motive to increase the safety of passengers, although non-safety applications are also provided by vehicular networks. Internet of Things (IoT) has a subsection called Mobile Ad hoc Network (MANET)m which in turn has a subsection called Vehicular Ad hoc Network (VANET). Internet of Energy (IoE) is a new domain that is formed using electric vehicles connected with VANETs. As a large number of transport systems are coming into operation and various pervasive applications are designed to handle such networks, the increasing number of attacks in this domain is also creating threats. As IoE is connected to VANETs extension with electric cars, the future of VANETs can be a question if security measures are not significant. The present survey is an attempt to cover various attack types on vehicular networks with existing security solutions available to handle these attacks. This study will help researchers in getting in-depth information about the taxonomy of vehicular network security issues which can be explored further to design innovative solutions. This knowledge will also be helpful for new research directions, which in turn will help in the formulation of new strategies to handle attacks in a much better way.

A Vehicular Ad hoc NETwork (VANET) is a type of mobile Peer-To-Peer wireless network that allows providing communication among nearby vehicles and between vehicles and nearby fixed roadside equipment. The lack of centralized infrastructure, high node mobility and increasing number of vehicles in VANETs result in several problems discussed in this paper, such as interrupting connections, difficult routing, security of communications and scalability. Existing system for VANET communication is proved to have several drawbacks. We have proposed a mechanism in order to provide secure and efficient communication in VANET environment. We overcome the drawbacks of the existing system by using Malicious Vehicular Analyzer algorithm and Elliptic Curve Cryptography (ECC). Using these algorithms, malicious messages are identified. It also detects the accident and other problems in the path of the vehicles. Elliptic Curve Cryptography (ECC) algorithm is used for stronger security during communication.

The rapid expansion of Vehicular Ad Hoc Networks (VANETs) has amplified concerns regarding data security, integrity, and privacy. This paper presents SECURIDE, a Secure Intelligent Data Exchange for Connected Vehicles that provides a comprehensive encryption–decryption framework for safeguarding multimedia data and communication channels in VANETs. The system integrates three encryption methods—AES with RSA‐based key management, ChaCha20, and Salsa20—to enable comparative analysis under uniform conditions. Real‐time encryption is performed on captured data, which are securely stored on both a local Single Board Computer (SBC) and remotely on a secure cloud platform. Access control is reinforced through password verification, multi‐factor authentication (MFA), and local private key management. Experimental evaluation demonstrates that Salsa20 delivers the best performance with a total encryption upload time of 0.4255 s and throughput of 0.69 MB/s, confirming its suitability for real‐time VANET operations. ChaCha20 achieved comparable results (0.4534 s, 0.68 MB/s), while AES showed notable efficiency gains after machine learning (ML) based optimization. Integration of a RandomForest ML model reduced CPU load and enhanced throughput across all algorithms, validating the potential of ML‐assisted cryptographic optimization for securing next‐generation VANET environments.

Vehicular ad hoc networks (VANETs) play a critical role in enabling intelligent transportation systems, but their open and dynamic nature also makes them highly vulnerable to security threats. Traditional rule-based security mechanisms often fall short of identifying complex or evolving attack patterns. This study explores the application of Deep Belief Networks (DBNs) for automated feature learning and anomaly detection in VANET environments. By leveraging the hierarchical structure of DBNs, the model is trained to extract meaningful temporal and spatial features from high-dimensional traffic and communication data. These learned representations are then used to identify potential malicious behaviors such as spoofing, Sybil attacks, and false message injections. Experimental evaluations on benchmark VANET datasets demonstrate that DBNs significantly improve detection accuracy while reducing false positives compared to shallow learning approaches. This work highlights the potential of deep learning-based models in building more adaptive and resilient VANET security frameworks.

Vehicular communication networks is a powerful tool that enables numerous vehicular data services and applications. The rapid growth in vehicles has also resulted in the vehicular network becoming heterogeneous, dynamic, and large-scale, making it hard to meet the strict requirements, such as extremely latency, high mobility, top security, and enormous connections of the fifth-generation network. Previous studies have shown that with the increase in the application of Software-Defined Networking (SDN) on Vehicular Ad-hoc Network (VANET) in industries, researchers have exerted considerable efforts to improve vehicular communications. This study presents an exhaustive review of previous works by classifying them based on based on wireless communication, particularly VANET. First, a concise summary of the VANET structure and SDN controller with layers and details of their infrastructure is provided. Second, a description of SDN-VANET applications in different wireless communications, such as the Internet of Things (IoT) and VANET is provided with concentration on the examination and comparison of SDN-VANET works on several parameters. This paper also provides a detailed analysis of the open issues and research directions accomplished while integrating the VANET with SDN. It also highlights the current and emerging technologies with use cases in vehicular networks to address the several challenges in the VANET infrastructure. This survey acts as a catalyst in raising the emergent robustness routing protocol, latency, connectivity and security issues of future SDN-VANET architectures.

In this paper, we focus on an interesting E-Health monitoring system that efficiently utilizes the concept of the Internet of Things (IoT). Wireless body area network (WBAN) composed of a set of target-oriented sensors placed around the human body and transmit its collected data to a coordinator that carries it to some cloud system. WBAN standardized with the newly emerged IEEE802.15.6 with its specifications for Physical (PHY) and medium access control (MAC) layers only. Regrettably, the Network layer is not addressed by the standard where it plays an important role in the overall performance. In this paper, we design the temperature heterogeneity energy (THE) aware routing protocol for WBAN as a complement for the standard. “THE” aims to control the temperature raising caused by the on-body sensor and affects the skin comfortableness. In the meantime, “THE” maintains the network in high-performance conditions in terms of long node lifetime and high packet throughput. To fulfill these desired tradeoffs, the sensed data is classified into three data levels with variable transmission priority to each level, namely, emergency (abnormal) data priority 7 (highest priority), critical data priority 6, and normal data assigned priority 5. “THE” protocol is based on a utility function that chooses the WBAN's parent node (PN) that has the largest amount of remaining energy, the highest data rate, the minimum distance to the coordinator, and the minimum sensor's temperature. Hopping the data through the parent node (two-hops) is applicable for the data with normal priority while high priority data (critical and emergency) is transmitted to the coordinator in one-hop only. The proposed “THE” protocol's performance validation performed via Monte Carlo simulation analysis which proves that “THE” protocol achieved better performance against conventional protocols (SIMPLE and iM-SIMPLE) in terms of network lifetime, number of dead nodes, total remaining energy, and throughput.