Congestion control in vehicular adhoc network: a survey

The issues of congestion control on non-safety applications in vehicular ad hoc networks (VANETs) have received considerable crucial attention in the field of intelligent transport systems (ITS). The critical challenges of ITS applications are in the events of intermittent connectivity and data collisions. Another challenge is the event-driven effect on both safety and non-safety applications that are critically relied on delay and reliability. So far, the development of protocol stacks for VANETs implies the WAVE protocol other IEEE 802.11p MAC protocol. Based on IEEE 802.11p MAC protocol standard in the 5.9 GHz band (other similar protocols such as C2C-CC for European and CALM from ISO) in which adopt of vehicle manufacturers of Information Communication Technology (ICT) to address the safety systems, emergency (breakdown, SOS), traffic control, environmental, navigational, and tracking. Little attention has been given to non-safety applications, for instance, chat, twitter, SMS, internet services, video-on-the-go, etc. Besides, roadside-vehicle communications (RVC) caters for information concerning repair notifications, remote diagnostics, context information, navigation information, and alerts system. In this survey, we present a framework that proposes a guideline and recommendation for the congestion control mechanism perspectives in VANETs. In particular, researches are centered on the investigation of the mobility model of congestion control algorithms. Finally, this survey contributes to appropriate knowledge and challenges in legacy congestion control of VANETs and toward the future research development.

Dissemination of safety messages in IEEE 802.11p/WAVE vehicular network: Analytical study and protocol enhancements

Recently, Vehicular Ad-hoc Network (VANET) has been one of the emerging fields of research. Many researchers are doing their research on various challenges of VANET. Congestion or blockage has become a critical issue in intelligent transportation systems, and this problem may arise daily due to the usage of smart technology in VANET. So we need some mechanism which controlscongestion. This paper present the trustworthy, long-lasting and consistent block chain congestion control mechanism using the heterogeneity of Dullening Nural Network (DNN), Q-Learning, and Software Define Network (SDN) model for an accurate result, fixed infrastructure, together with a correct prediction of congestion when it occurs at the edge of the network and give the fast and correct decision of congestion w.r.t VANET trust, Quality of service (QOS) and other vehicles current request. The focus of our research is on distributed SDN Technology and block chain technology for the development of smart cities and linked vehicles. So we proposed an inexpensive mechanism with low latency and a low bandwidth block chain system. Based on the Simulation result, our proposed architecture gives 82% and 98% reliability and efficiency gain in a congestion environment compared to traditional approaches. This paper aims to increase throughput, Packet Delivery Ratio (PDR), energy consumption time, and less end-to-end delay and routing overhead during communication.

Objectives: To explored the highlighted obliged QoS routing issue in Vehicular Ad hoc Networks (VANETs). Methods/ Statistical Analysis: The issues are tended to firstly by working up an association faithful quality model considering the topological and numerical properties of vehicular advancements and speeds. The VANET correspondence diagram in advancing chart hypothesis is used to model and organize the formed association trustworthiness shown into it. In light of the consequent intensified chart diagram illustrate, the most tried and true course in the framework is picked. However course assurance does not ensure awesome transmission as well. Findings: Vehicular extraordinarily designated Systems (VANETs) are a particular sort of remote framework made by vehicles giving among themselves and with roadside base stations. A broad assortment of organizations has been made for VANETs going from security to infotainment applications. A key need for such organizations is that they are offered with Nature of Administration Quality of Service (QoS) guarantees similar to organization unfaltering quality and availability. QoS routing expect an essential part in recognizing courses that meet the QoS necessities of the offered organization over VANETs. For filtering the achievable courses it subject to various QoS goals is with everything taken into account a NP-difficult issue. Furthermore, the reliability of the routing ought to be given unprecedented thought as correspondence associations, as frequently as conceivable in VANETs. In present situation, the most existing QoS routing calculations are been PSO algorithm for stable VANET system without considering the security and wellbeing of the routing procedure. Along these lines, they are not appropriate for applications in VANETs. Application/Improvements: Low complexity nature advanced administration dependable routing calculation is made to ensure to lessen transmission redundancy with use of Subterranean insect State estimation with better eventual outcomes of course decision and transmission considering better request and sorting calculations in the Particle Swam Optimization (PSO) algorithm work calculation for extremely powerful VANET system with less preferred quality in evaluation with favoured data transmission over interchange QoS counts as shown by the results and satisfy QoS requirements of specific traffic using PSO in the VANET routing protocol environments. Meanwhile, an optimized function with PSO is also proposed to make scheduling decisions so that the dropped packet rates are reduced. The results of PSO algorithm simulations are better and feasible as compared to the previous techniques. Keywords: Graph Theory, Optimised Service Reliable Routing Algorithm, Particle Swam Optimization, Quality of Service, Roadside Base Stations, VANET

A survey on Intrusion Detection Systems and Honeypot based proactive security mechanisms in VANETs and VANET Cloud

Vehicular ad hoc network (VANET) is fastest growing technology that ensure safe and efficient road traffic management. Mobility management is the main challenge in VANET. So, adaptive and stable routing protocol is a vital issue in VANET technology. Cluster-based VANET is getting more attention day by day. However, finding a solution that ensure longer lifetime of a moving vehicle in a cluster is essential. In this paper, we propose a new routing protocol for cluster-based VANET called central lane-based lifetime routing (CLLTR) to improve the quality of services. In the CLLTR scheme, to ensure the longer lifetime in cluster the cluster heads (CHs) should be selected from the central lane of the road. Because, the central lane cars will travel longer distance, i. e., lifetime will be larger, than other lane cars as the shape of the cluster is circular. Here, the CHs will also act as a gateway node of the clusters. Numerical simulations are carried out to evaluate the performance of the proposed CLLTR scheme. Results confirm that the proposed CLLTR scheme provides better stability than the conventional cluster-based life time routing (CBLTR) schemes of VANET.

Vehicular Ad hoc Networks (VANETs) have become a cornerstone component of Intelligent Transportation Systems (ITS). VANET applications present a huge potential for improving road safety and travel comfort, hence the growing interest of both academia and industry. The main advantage of VANETs is its ad hoc nature which does not require fixed infrastructure or centralized administration. However, designing scalable information dissemination techniques for VANET applications remains a challenging task due to the inherent nature of such highly dynamic environments. Existing dissemination techniques often resort to simulation for performance evaluation and there are only few studies that offer mathematical modeling. In this paper we provide a comparative study of existing performance modeling approaches for data dissemination techniques designed for different VANET applications.

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 Ad Hoc Network (VANET) is a promising area of research and development as it has remarkable role in improving safety of vehicles on road, efficient traffic management, and providing comfort to commuters. The typical characteristics of VANET environment pose several challenges for VANET application developers. There is always a demand for scalable communication mechanisms suitable for low- and high-speed vehicles, information dissemination techniques that suit sparse and dense traffic conditions. Thus, the reliability of any VANET application strongly depends upon the robustness of the underlying communication architecture. Any VANET communication model shall strictly adhere to the wireless access standards and specifications laid down for vehicular communications. In this work, we have designed and implemented a basic VANET communication model that facilitates both Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication adhering to IEEE 802.11p standards. The Physical and Link Layer extensions of WAVE standard have been integrated to EXata5.1 (network emulator) to support IEEE 802.11p communication. Necessary Graphical User Interface and library level extensions were made to create VANET scenarios. To demonstrate and evaluate our communication model, urban scenarios with different node densities were created in EXata. The communication scenarios were emulated with predefined mobility of nodes, CBR as the traffic application and Bellman Ford as the default routing protocol. Using EXata analyzer, the performance metrics were analyzed and found that our basic VANET communication model offers good throughput at high vehicle densities with a soft delay constraint.

Vehicular Ad Hoc networks (VANETs) have been employed in supporting several applications related to safety and comfort. VANET applications have strict security requirements, as they have direct impact on people comfort and safety. Although many ordinary networks security systems can be applied to provide security services in VANET, the key establishment between legitimate vehicles is the common challenge among all of these systems. This paper proposes a secret key establishment technique for vehicular communications exploiting the special properties and randomness inherent of the wireless channel. Our comprehensive simulations show that the proposed key extraction technique suits VANETs rather than other communication systems, owing to the multi environments operation of VANET which causes more randomness due to fading, noise multipath and velocity variation. The proposed approach can be tuned to extract low or high rate secret key with high entropy rate and less information exchange between legitimate vehicles. The extracted secret key can be employed to support providing security services in VANET.

OF DISSERTATION Secure and Authenticated Message Dissemination in Vehicular ad hoc Networks and an Incentive-based Architecture for Vehicular Cloud Vehicular ad hoc Networks (VANETs) allow vehicles to form a self-organized network. VANETs are likely to be widely deployed in the future, given the interest shown by industry in self-driving cars and satisfying their customers various interests. Problems related to Mobile ad hoc Networks (MANETs) such as routing, security, etc. have been extensively studied. Even though VANETs are special type of MANETs, solutions proposed for MANETs cannot be directly applied to VANETs because all problems related to MANETs have been studied for small networks. Moreover, in MANETs, nodes can move randomly. On the other hand, movement of nodes in VANETs are constrained to roads and the number of nodes in VANETs is large and covers typically large area. The following are the contributions of the thesis. Secure, authenticated, privacy preserving message dissemination in VANETs: When vehicles in VANET observe phenomena such as accidents, icy road condition, etc., they need to disseminate this information to vehicles in appropriate areas so the drivers of those vehicles can take appropriate action. When such messages are disseminated, the authenticity of the vehicles disseminating such messages should be verified while at the same time the anonymity of the vehicles should be preserved. Moreover, to punish the vehicles spreading malicious messages, authorities should be able to trace such messages to their senders when necessary. For this, we present an efficient protocol for the dissemination of authenticated messages. Incentive-based architecture for vehicular cloud: Due to the advantages such as flexibility and availability, interest in cloud computing has gained lot of attention in recent years. Allowing vehicles in VANETs to store the collected information in the cloud would facilitate other vehicles to retrieve this information when they need. In this thesis, we present a secure incentive-based architecture for vehicular cloud. Our architecture allows vehicles to collect and store information in the cloud; it also provides a mechanism for rewarding vehicles that contributing to the cloud. Privacy preserving message dissemination in VANETs: Sometimes, it is sufficient to ensure the anonymity of the vehicles disseminating messages in VANETs. We present a privacy preserving message dissemination protocol for VANETs.

<p>The vehicular ad hoc network (VANET) has emerged as a heterogeneous network with no fixed infrastructure. In VANET, vehicles are the mobile nodes that communicate with one another and with the infrastructure. One of the major challenges in VANET is to allocate resources efficiently due to environmental characteristics such as highly mobile vehicles, latency-sensitive and short connection times. The conventional resource management mechanisms are not very effective in such an environment. The data-driven Artificial Intelligence (AI) based techniques are a very efficient alternative to traditional statistical techniques. This project proposes an AI-empowered task offloading and computing resource allocation model which can dynamically organize the computing resources in VANET. The model is divided into two layers. First, the task offloading layer, where the Random Forest (RF) algorithm is used to determine whether the vehicle’s computing tasks should be offloaded to the cloud computing (CC) server or mobile edge computing (MEC) server or to be processed locally (in-vehicle computing). Second, the resource allocation layer, where the deep deterministic policy gradient (DDPG) algorithm is used to determine the computing platform again when the task is determined to be offloaded to either MEC servers or the cloud servers. To evaluate the performance of the RF classifier, we applied the model to a real-world driving trajectory dataset then compared the results with a different set of machine learning algorithms namely, K-nearest neighbour (KNN), Multilayer Perceptron (MLP) and Support Vector Machine (SVM). The results show the RF model outperformed other models in classification accuracy score of 99.83% for task offloading decision, where the KNN, MLP and SVM achieved 98%, 94.81% and 90.94%, respectively. Moreover, the DDPG based resource allocation scheme converges within 150 episodes. Thus, the proposed model can find the optimal offload decision and the computational resource allocation simultaneously and achieves a high delay to quality-of-service (QoS) satisfaction ratio.</p>

Vehicular ad hoc network (VANET) is a promising technology for controlling traffic on roads. Nowadays, heavy traffic is a major issue, and the presence of attackers exacerbates the situation. The most important challenge in VANET is its security from malicious vehicles. In order to defend against distributed denial of service DDoS attacks, we propose a comprehensive verification header format bandwidth detection (CVHB) in VANET. The behavior of a DDoS attack is unknown for all the other normal nodes in network. The header format of packer contains all the information of nodes that are actively participating in routing. The attacker infection probability measured by 𝑃𝑏 and 𝑃𝑚 or (𝑃𝑏 > 0.9). If both the parameters are high means attacker presence confirm in network. The CVHB scheme checks the packet header format of the attacker node, and only the attacker is one of the nodes whose sequence number is frequently changing. So, CVHB blocks the flooding of unwanted packets that consume the limited bandwidth of a wireless link and identify packets that contain no useful information. To measure the performance of the network, the basic performance metrics that are used are dropping percentage, packet delivery ratio (PDR), throughput and delay. The result of CVHB is showing improvement as compared to multilayer distributed self-organizing maps (MSOM) in VANET.

Despite the surge in Vehicular Ad Hoc NETwork (VANET) research, future high-end vehicles are expected to under-utilize the on-board computation, communication, and storage resources. Olariu et al. envisioned the next paradigm shift from conventional VANET to Vehicular Cloud Computing (VCC) by merging VANET with cloud computing. But to date, in the literature, there is no solid architecture for cloud computing from VANET standpoint. In this paper, we put forth the taxonomy of VANET based cloud computing. It is, to the best of our knowledge, the first effort to define VANET Cloud architecture. Additionally we divide VANET clouds into three architectural frameworks named Vehicular Clouds (VC), Vehicles using Clouds (VuC), and Hybrid Vehicular Clouds (HVC). We also outline the unique security and privacy issues and research challenges in VANET clouds.

Recent advances over wireless communication devices and introduction of highly computational vehicles have made research in Vehicular Ad-hoc Network (VANET) very interesting for both academic and industry. Practical application and implementation of VANET is on full swing in many countries but the robust and reliable Medium Access Control (MAC) mechanism is still a challenge. Ensuring dissemination of delay-intolerant time critical safety messages, GPS requirement, and the dependency on the leader node are some of the inherent issues in almost all proposed MAC protocols. In this research article, the proposed scheme addresses these issues with better channel utilization and lower latency in conjunction with enhanced throughput by dividing the vehicles into two clusters. The clusters work independently, and they communicate amongst themselves using a separate channel. So, they enhance channel utilization and partially guaranty the delivery of safety message in critical time. The scheme uses the simplest MAC, CSMA/CA in cluster formation. So, there stands no question of global synchronization (GPS) for the communication.