scholarly journals Spectrum-Aware Geographic Routing in Cognitive Vehicular Ad Hoc Network Using a Kalman Filter

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Huma Ghafoor ◽  
Insoo Koo
Keyword(s):  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Relay Node ◽  
Primary User ◽  
Geographic Routing ◽  
Delivery Ratio ◽  
Vehicle Communication ◽  
Moving Vehicles ◽  
Hoc Networks ◽  
The One

We propose a position-based routing protocol for cognitive radio vehicular ad hoc networks (CR-VANETs) using aKalmanfilter algorithm. The protocol first selects an idle channel from among all the channels available to a vehicle while moving on a straight road and then finds the best relay node to deliver the packet to the destination. The selection of a relay node is done by dividing the vehicular transmission range into five regions, and then the source/relay node selects the one that is in the region having a higher preference than other regions. Communication between two vehicles occurs only when both the vehicles are on the same channel. Delay may increase while sensing the channel and selecting the relay node. To reduce the delay, we use aKalmanfilter to predict the future positions of all moving vehicles in the network. We consider vehicle-to-vehicle communication and compare our protocol for different probabilities of primary user being idle. Our proposed protocol shows improvement in both packet delivery ratio and end-to-end delay.

scholarly journals W-GPCR Routing Method for Vehicular Ad Hoc Networks

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3406 ◽  
Author(s):  
Min Li ◽  
Zhiru Gu ◽  
Yonghong Long ◽  
Xiaohua Shu ◽  
Qing Rong ◽  
...  
Keyword(s):  
Ad Hoc Networks ◽  
Routing Protocol ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Rapid Change ◽  
Relay Node ◽  
Geographic Routing ◽  
Delivery Ratio ◽  
Local Optimum ◽  
Hoc Networks

The high-speed dynamics of nodes and rapid change of network topology in vehicular ad hoc networks (VANETs) pose significant challenges for the design of routing protocols. Because of the unpredictability of VANETs, selecting the appropriate next-hop relay node, which is related to the performance of the routing protocol, is a difficult task. As an effective solution for VANETs, geographic routing has received extensive attention in recent years. The Greedy Perimeter Coordinator Routing (GPCR) protocol is a widely adopted position-based routing protocol. In this paper, to improve the performance in sparse networks, the local optimum, and the routing loop in the GPCR protocol, the Weighted-GPCR (W-GPCR) protocol is proposed. Firstly, the relationship between vehicle node routing and other parameters, such as the Euclidean distance between node pairs, driving direction, and density, is analyzed. Secondly, the composite parameter weighted model is established and the calculation method is designed for the existing routing problems; the weighted parameter ratio is selected adaptively in different scenarios, so as to obtain the optimal next-hop relay node. In order to verify the performance of the W-GPCR method, the proposed method is compared with existing methods, such as the traditional Geographic Perimeter Stateless Routing (GPSR) protocol and GPCR. Results show that this method is superior in terms of the package delivery ratio, end-to-end delay, and average hop count.

scholarly journals Q-LBR: Q-Learning Based Load Balancing Routing for UAV-Assisted VANET

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5685
Author(s):  
Bong-Soo Roh ◽  
Myoung-Hun Han ◽  
Jae-Hyun Ham ◽  
Ki-Il Kim
Keyword(s):  
Load Balancing ◽  
Traffic Congestion ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Control Function ◽  
Dynamic Network ◽  
Relay Node ◽  
Delivery Ratio ◽  
Q Learning ◽  
Hoc Networks

Although various unmanned aerial vehicle (UAV)-assisted routing protocols have been proposed for vehicular ad hoc networks, few studies have investigated load balancing algorithms to accommodate future traffic growth and deal with complex dynamic network environments simultaneously. In particular, owing to the extended coverage and clear line-of-sight relay link on a UAV relay node (URN), the possibility of a bottleneck link is high. To prevent problems caused by traffic congestion, we propose Q-learning based load balancing routing (Q-LBR) through a combination of three key techniques, namely, a low-overhead technique for estimating the network load through the queue status obtained from each ground vehicular node by the URN, a load balancing scheme based on Q-learning and a reward control function for rapid convergence of Q-learning. Through diverse simulations, we demonstrate that Q-LBR improves the packet delivery ratio, network utilization and latency by more than 8, 28 and 30%, respectively, compared to the existing protocol.

Modified fuzzy-based greedy routing protocol for VANETs

2020 ◽  
Vol 39 (6) ◽  
pp. 8357-8364
Author(s):  
Thompson Stephan ◽  
Ananthnarayan Rajappa ◽  
K.S. Sendhil Kumar ◽  
Shivang Gupta ◽  
Achyut Shankar ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Routing Protocol ◽  
Intelligent Transportation Systems ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Research Area ◽  
Transportation Systems ◽  
Delivery Ratio ◽  
Greedy Routing ◽  
Hoc Networks

Vehicular Ad Hoc Networks (VANETs) is the most growing research area in wireless communication and has been gaining significant attention over recent years due to its role in designing intelligent transportation systems. Wireless multi-hop forwarding in VANETs is challenging since the data has to be relayed as soon as possible through the intermediate vehicles from the source to destination. This paper proposes a modified fuzzy-based greedy routing protocol (MFGR) which is an enhanced version of fuzzy logic-based greedy routing protocol (FLGR). Our proposed protocol applies fuzzy logic for the selection of the next greedy forwarder to forward the data reliably towards the destination. Five parameters, namely distance, direction, speed, position, and trust have been used to evaluate the node’s stability using fuzzy logic. The simulation results demonstrate that the proposed MFGR scheme can achieve the best performance in terms of the highest packet delivery ratio (PDR) and minimizes the average number of hops among all protocols.

Artificial Intelligence Based Intrusion Detection System to Detect Flooding Attack in VANETs

2018 ◽  
pp. 87-100 ◽  
Author(s):  
Mannat Jot Singh Aneja ◽  
Tarunpreet Bhatia ◽  
Gaurav Sharma ◽  
Gulshan Shrivastava
Keyword(s):  
Intrusion Detection ◽  
Ad Hoc Networks ◽  
Intrusion Detection System ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Performance Metrics ◽  
Detection System ◽  
Delivery Ratio ◽  
Flooding Attack ◽  
Hoc Networks

This chapter describes how Vehicular Ad hoc Networks (VANETs) are classes of ad hoc networks that provides communication among various vehicles and roadside units. VANETs being decentralized are susceptible to many security attacks. A flooding attack is one of the major security threats to the VANET environment. This chapter proposes a hybrid Intrusion Detection System which improves accuracy and other performance metrics using Artificial Neural Networks as a classification engine and a genetic algorithm as an optimization engine for feature subset selection. These performance metrics have been calculated in two scenarios, namely misuse and anomaly. Various performance metrics are calculated and compared with other researchers' work. The results obtained indicate a high accuracy and precision and negligible false alarm rate. These performance metrics are used to evaluate the intrusion system and compare with other existing algorithms. The classifier works well for multiple malicious nodes. Apart from machine learning techniques, the effect of the network parameters like throughput and packet delivery ratio is observed.

Towards the Development of Vehicular Ad-Hoc Networks (VANETs)

2020 ◽  
pp. 21-47 ◽  
Author(s):  
Mekelleche Fatiha ◽  
Haffaf Hafid
Keyword(s):  
Ad Hoc Networks ◽  
Intelligent Transportation Systems ◽  
Road Safety ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Intelligent Vehicles ◽  
The Road ◽  
Vehicle Communication ◽  
On The Road ◽  
Hoc Networks

Vehicular Ad-Hoc Networks (VANETs), a new mobile ad-hoc network technology (MANET), are currently receiving increased attention from manufacturers and researchers. They consist of several mobile vehicles (intelligent vehicles) that can communicate with each other (inter-vehicle communication) or with fixed road equipment (vehicle-infrastructure communication) adopting new wireless communication technologies. The objective of these networks is to improve road safety by warning motorists of any event on the road (accidents, hazards, possible deviations, etc.), and make the time spent on the road more pleasant and less boring (applications deployed to ensure the comfort of the passengers). Practically, VANETs are designed to support the development of Intelligent Transportation Systems (ITS). The latter are seen as one of the technical solutions to transport challenges. This chapter, given the importance of road safety in the majority of developed countries, presents a comprehensive study on the VANET networks, highlighting their main features.

On Peer-to-Peer Location Management in Vehicular Ad Hoc Networks

2011 ◽  
pp. 96-113
Author(s):  
Zhaomin Mo ◽  
Hao Zhu ◽  
Kia Makki ◽  
Niki Pissinou ◽  
Masoumeh Karimi
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Location Management ◽  
Peer To Peer ◽  
Location Information ◽  
Communication Overhead ◽  
Management Service ◽  
Vehicle Communication ◽  
Hoc Networks

Vehicular ad-hoc networks (VANETs) have been gained importance for the inter-vehicle communication that supports local communication between vehicles without any expensive infrastructure and considerable configuration efforts. How to provide light-weight and scalable location management service which facilitates geographic routing in VANETs remains a fundamental issue. In this paper we will present a novel peer-to-peer location management protocol, called PLM, to provide location management service in VANETs. PLM makes use of high mobility in VANETs to disseminate vehicles’ historical location information over the network. A vehicle is able to predict current location of other vehicles with Kalman filtering technique. Our theoretical analysis shows that PLM is able to achieve high location information availability with a low protocol overhead and latency. The simulation results indicate that PLM can provide fairly accurate location information with quite low communication overhead in VANETs.. [Article copies are available for purchase from InfoSci-on-Demand.com]

On Peer-to-Peer Location Management in Vehicular Ad Hoc Networks

2010 ◽  
pp. 1520-1537
Author(s):  
Zhaomin Mo ◽  
Hao Zhu ◽  
Kia Makki ◽  
Niki Pissinou ◽  
Masoumeh Karimi
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Location Management ◽  
Peer To Peer ◽  
Location Information ◽  
Communication Overhead ◽  
Management Service ◽  
Vehicle Communication ◽  
Hoc Networks

Vehicular ad-hoc networks (VANETs) have been gained importance for the inter-vehicle communication that supports local communication between vehicles without any expensive infrastructure and considerable configuration efforts. How to provide light-weight and scalable location management service which facilitates geographic routing in VANETs remains a fundamental issue. In this paper we will present a novel peer-to-peer location management protocol, called PLM, to provide location management service in VANETs. PLM makes use of high mobility in VANETs to disseminate vehicles’ historical location information over the network. A vehicle is able to predict current location of other vehicles with Kalman filtering technique. Our theoretical analysis shows that PLM is able to achieve high location information availability with a low protocol overhead and latency. The simulation results indicate that PLM can provide fairly accurate location information with quite low communication overhead in VANETs

Trust Management for VANETs

2012 ◽  
Vol 3 (1) ◽  
pp. 48-62 ◽  
Author(s):  
Jie Zhang
Keyword(s):  
Road Safety ◽  
Trust Management ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
False Information ◽  
Future Directions ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Trust Models ◽  
Hoc Networks

An increasingly large number of cars are being equipped with GPS and Wi-Fi devices, forming vehicular ad-hoc networks (VANETs) and enabling vehicle to vehicle communication with the goal of providing increased passenger and road safety. However, dishonest peers (vehicles) in a VANET may send out false information to maximize their own utility. Given the dire consequences of acting on false information in this context, there is a serious need to establish trust among peers. This article first discusses the challenges for trust management caused by the important characteristics of VANET environments, and identifies desired properties that effective trust management should incorporate in order to address the challenges. The author then surveys and evaluates existing trust models in VANETs, and points out that none of the trust models has achieved all the properties. Finally, the author proposes some important future directions for research towards effective trust management for VANETs.

scholarly journals BEAT: Beacon Inter-Reception Time Ensured Adaptive Transmission for Vehicle-to-Vehicle Safety Communication

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3061 ◽  
Author(s):  
Sunghwa Son ◽  
Kyung-Joon Park
Keyword(s):  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Adaptive Transmission ◽  
Vehicle Safety ◽  
Delivery Ratio ◽  
Safety Communication ◽  
Congestion Control Algorithm ◽  
Temporal Aspect ◽  
Varying Environments ◽  
Hoc Networks

To improve vehicle safety, vehicular ad hoc networks (VANETs) periodically broadcast safety messages known as beacons. Consequently, it becomes safety critical to guarantee the timely reception of periodic beacons under the time-varying environments of VANET. However, existing approaches typically measure the packet delivery ratio, which is a time-average metric that does not consider the temporal behavior associated with beacon reception. In this paper, to properly reflect the temporal aspect of beacon reception, we propose a congestion control algorithm, Beacon inter-reception time Ensured Adaptive Transmission (BEAT). The proposed algorithm tightly regulates the beacon inter-reception time compared to conventional techniques, which can significantly improve vehicle safety. Our simulation results demonstrate the effectiveness of the proposed scheme.

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