An Unsupervised Cluster-Based VANET-Oriented Evolving Graph (CVoEG) Model and Associated Reliable Routing Scheme
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This paper proposes a novel cluster-based VANET oriented evolving graph (CVoEG) model to improve the reliability of vehicular communications. The CVoEG model divides vehicles into an optimal number of clusters based on link reliability and selects cluster heads and members based on their Eigen-centrality scores. A reliable routing scheme called CEG-RAODV is also proposed to find the most reliable path from source to destination using the CVoEG model. Simulation results show the proposed scheme significantly outperforms existing schemes in terms of reliability, packet delivery ratio, end-to-end delay, and throughput.
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This document provides a systematic review and comparative analysis of 10 routing protocols for vehicular ad hoc networks (VANETs). It summarizes the key methods, benefits, and conclusions of each protocol. The protocols use various techniques like clustering, machine learning, Q-learning, firefly algorithm, and particle swarm optimization to address the challenges of frequent topology changes in VANETs. Simulation results show the protocols improve metrics like packet delivery ratio, end-to-end delay, and network throughput compared to other existing protocols. In conclusion, an efficient routing protocol is needed to meet the unique requirements of VANETs and achieve good performance.
Improving QoS in VANET Using Dynamic Clustering Technique
The document presents a new dynamic multi-clustering technique to improve quality of service (QoS) in vehicular ad hoc networks (VANETs) used for vehicle platooning. It begins by discussing limitations of existing single clustering approaches. It then proposes a hierarchical clustering approach that forms multiple clusters within each platoon dynamically based on traffic conditions. A new Relative Multi-Head Disturbance Adaptation (RMDA) algorithm is introduced to select cluster heads. This algorithm considers both relative distance and mobility between nodes to select stable cluster heads. Simulation results show the approach improves QoS metrics like packet delay, throughput and packet loss ratio over existing single clustering techniques.
NS2 IEEE Projects @ HCL Velachery
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A novel k-means powered algorithm for an efficient clustering in vehicular ad...
Considerable attention has recently been given to the routing issue in vehicular ad-hoc networks (VANET). Indeed, the repetitive communication failures and high velocity of vehicles reduce the efficacy of routing protocols in VANET. The clustering technique is considered an important solution to overcome these difficulties. In this paper, an efficient clustering approach using an adapted k-means algorithm for VANET has been introduced to enhance network stability in a highway environment. Our approach relies on a clustering scheme that accounts for the network characteristics and the number of connected vehicles. The simulation indicates that the proposed approach is more efficient than similar schemes. The results obtained appear an overall increase in constancy, proven by an increase in cluster head lifetime by 66%, and an improvement in robustness clear in the overall reduction of the end-to-end delay by 46% as well as an increase in throughput by 74%.
A Multi-Resolution Channel Structure Learning Estimation Method of Geometry-B...
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ACT: Securing Vanet Against Malicious Vehicles Using Advanced Clustering Tech...
The document proposes an ACT approach for creating advanced clusters in VANET networks and detecting malicious vehicles. The ACT approach uses clustering to organize vehicles into groups led by cluster heads. The cluster heads help route data and detect malicious vehicles that may disrupt the network. The proposed approach is tested using simulation and performs better than AODV routing in terms of latency, throughput, and packet delivery ratio. It provides improved security and stability for VANET networks.
VANET Clustering
The document describes a proposed multi-hop clustering (MHC) approach for vehicular ad-hoc networks (VANETs). The MHC approach selects cluster heads based on the node's speed being closest to the average speed and having a high network life. It calculates distrust values to isolate malicious nodes and determines a QoS value considering bandwidth, number of neighbors, distance and velocity ratios. The approach aims to improve stability, reliability and security compared to previous work. It was simulated in NS2 and showed better results than existing techniques for parameters like overhead, throughput, delay, loss and delivery ratio. The key contribution is adding calculations for percentage of stability and path length.
Bandwidth aware on demand multipath routing in manets
The document proposes a modification to the AOMDV routing protocol to utilize available bandwidth in MANETs. It describes enhancing AOMDV to select multiple paths during route discovery based on available bandwidth, and using periodic detector packets to monitor bandwidth on alternate paths. Simulation results showed this bandwidth-aware multipath approach improves end-to-end throughput, packet delivery ratio, and end-to-end delay compared to the original AOMDV protocol.
Elsevier paper
The document discusses a proposed congestion control method called ELFIQM for wireless networks. ELFIQM is inspired by the Engset loss formula queue model and aims to distribute network load evenly across multiple routes. It does this by estimating key parameters like minimum queue length, blocking probability, and congestion rate. Simulation results showed ELFIQM improved packet delivery ratio, throughput, and reduced network overhead by up to 25% compared to other queue-based load balancing techniques.
Effect of mobility models on the performance of multipath routing protocol in...
In this paper, we have analyzed the performance of multipath routing protocol with various mobility
models for Mobile Ad Hoc Networks. The basic purpose of any multipath routing protocol
is to overcome various problems occurs while data delivery through a single path routing protocol.
For high acceptability of routing protocol, analysis of routing protocol in ad hoc network
only with random way point mobility model is not sufficient. Here, we have considered Random
waypoint, Random Direction and Probabilistic Random Walk mobility Model for proper analysis
of AOMDV routing protocol. Results obtained show that with increasing node density, packet
delivery ratio increases but with increasing node mobility Packet delivery ratio decreases.
A collaborated genetic with lion optimization algorithms for improving the qu...
Vehicular ad-hoc network (VANET) is dynamic and it works on various
noteworthy applications in intelligent transportation systems (ITS). In
general, routing overhead is more in the VANETs due to their properties.
Hence, need to handle this issue to improve the performance of the
VANETs. Also due to its dynamic nature collision occurs. Up till now, we
have had immense complexity in developing the multi-constrained network
with high quality of forwarding (QoF). To solve the difficulties especially to
control the congestion this paper introduces an enhanced genetic algorithm-based lion optimization for QoF-based routing protocol (EGA-LOQRP) in
the VANET network. Lion optimization routing protocol (LORP) is an
optimization-based routing protocol that can able to control the network with
a huge number of vehicles. An enhanced genetic algorithm (EGA) is
employed here to find the best possible path for data transmission which
leads to meeting the QoF. This will result in low packet loss, delay, and
energy consumption of the network. The exhaustive simulation tests
demonstrate that the EGA-LOQRP routing protocol improves performance
effectively in the face of congestion and QoS assaults compared to the
previous routing protocols like Ad hoc on-demand distance vector (AODV),
ant colony optimization-AODV (ACO-AODV) and traffic aware segment-AODV (TAS-AODV).
Rsaodv a route stability based ad hoc on demand distance vector routing prot...
High mobility of mobile nodes is one of the major reasons for link failures in mobile ad hoc network (MANET). The present paper aims at proposing modification of well known Ad hoc On demand Distance Vector (AODV) routing protocol for MANET seeking stable route for data transmission and incorporating link break avoidance scheme for such networks. The performance of the proposed routing protocol, named as Route Stability based Ad hoc On demand Distance Vector (RSAODV), is evaluated considering some major performance metrics which include average route life time, throughput, packet delivery fraction, normalized routing load and end–to-end delay. The study is based on simulation runs adopting CBR traffic pattern taking care of node failure scenarios. The performance of RAODV is compared with AODV routing protocol. The simulation runs exhibit significant increase in average route life time, packet delivery fraction and throughput for RSAODV, on the other hand, the normalized routing load and end–to-end delay are reduced for this routing protocol as compared to AODV routing protocol.
QUANTILE REGRESSIVE FISH SWARM OPTIMIZED DEEP CONVOLUTIONAL NEURAL LEARNING F...
Route path identification on the Internet of Vehicles (IoV) is complicated due to the nature of high dynamic mobility, bandwidth constraints, and traffic load. A vehicle present on the IoV communicates with each other to find the status of the road and location of other vehicles for reliable data transmission. However, the existing routing algorithm does not effectively improve the packet delivery ratio and reduce the delay. To resolve these issues, A Quantile Regressive Fish Swarm Optimized Deep Convolutional Neural Learning (QRFSODCNL) technique is introduced reliable data transmission with minimum end to end delay in IoV. The Deep Convolutional Neural Learning uses multiple layers such as one input layer, three hidden layers, and one output layer for vehicle location identification and optimal route path discovery.
Volume 2-issue-6-1987-1992
The document describes an intersection-based geographical routing protocol (IGRP) for vehicular ad hoc networks (VANETs) that uses genetic algorithms and an anonymous batch authentication scheme (ABAKA). IGRP selects optimal routes between intersections to guarantee network connectivity while satisfying quality of service constraints. It formulates the routing problem as an optimization problem solved using a genetic algorithm. ABAKA enables efficient authentication of multiple requests and negotiation of session keys to provide security for value-added services in VANETs. It reduces verification delay and overhead through elliptic curve cryptography.
Volume 2-issue-6-1987-1992
The document describes an intersection-based geographical routing protocol (IGRP) for vehicular ad hoc networks (VANETs) that uses an anonymous batch authentication and key agreement scheme (ABAKA) for security. IGRP selects optimal routes between intersections to ensure network connectivity while satisfying quality of service constraints. It formulates the routing problem as an optimization problem solved using a genetic algorithm. ABAKA allows for batch authentication of multiple requests and establishes session keys efficiently using elliptic curve cryptography to reduce overhead. It provides anonymity and deals with invalid requests. The proposed approach uses IGRP with ABAKA to provide a secure routing environment for value-added services in VANETs.
DYNAMIC QUALITY OF SERVICE STABILITY BASED MULTICAST ROUTING PROTOCOL FOR MAN...
Mobile ad hoc networking does not possess any fixed infrastructure and hence, stable routing is the major problem. The mobility nature of MANET’s node facilitates rediscovery of a new path to organizing a routing. In order to intensify the Quality of Service and routing stability in MANET, we propose a Dynamic Quality of service Stability based Multicast Routing Protocol by modifying the Cuckoo Search Algorithm through a modernizing mechanism which is derived from the differential evolution algorithm. Tuned CSA is a combined feature of CSA and DE algorithms. Periodically, each node in the network creates neighbour stability and QoS database at every node by calculating the parameters like node and link stability factor,
bandwidth availability, and delays. Finally, multicast path constructs route request and route reply packets, stability information and performing route maintenance.
Dynamic Quality of Service Stability Based Multicast Routing Protocol for MAN...
Mobile ad hoc networking does not possess any fixed infrastructure and hence, stable routing is
the major problem. The mobility nature of MANET’s node facilitates rediscovery of a new path
to organizing a routing. In order to intensify the Quality of Service and routing stability in
MANET, we propose a Dynamic Quality of service Stability based Multicast Routing Protocol
by modifying the Cuckoo Search Algorithm through a modernizing mechanism which is derived
from the differential evolution algorithm. Tuned CSA is a combined feature of CSA and DE
algorithms. Periodically, each node in the network creates neighbour stability and QoS
database at every node by calculating the parameters like node and link stability factor,
bandwidth availability, and delays. Finally, multicast path constructs route request and route
reply packets, stability information and performing route maintenance
Performance Evaluation of Efficient Data Dissemination Approach For QoS Enha...
Performance Evaluation of Efficient Data Dissemination Approach For QoS Enha...IJCSIS Research Publications
Vehicular ad hoc networks (VANETs) have seen tremendous growth in the last decade, providing a vast
range of applications in both military and civilian activities. The temporary connectivity in the vehicles can also
increase the driver’s capability on the road. However, such applications require heavy data packets to be shared on
the same spectrum without the requirement of excessive radios. Thus, e-client approaches are required which can
provide improved data dissemination along with the better quality of services to allow heavy traffic to be easily
shared between the vehicles. In this paper, an e-client data dissemination approach is proposed which not only
improves the vehicle to vehicle connectivity but also improves the QoS between the source and the destination. The
proposed approach is analyzed and compared with the existing state-of-the-art approaches. The effectiveness of the
proposed approach is demonstrated in terms of the significant gains attained in the parameters namely, end to end
delay, packet delivery ratio, route acquisition time, throughput, and message dissemination rate in comparison with
the existing approaches.A Model For The Dynamic System Optimum Traffic Assignment Problem
This document describes a model for the dynamic system optimum traffic assignment problem. The model seeks to reduce total travel delays in a road network by routing drivers along routes with the lowest marginal delay. It is applicable to networks with many origin-destination pairs and bottlenecks. The model discretizes time and simulates vehicle movement to determine link flows and queues while respecting the first-in, first-out queue discipline at bottlenecks. Numerical results are provided for two test networks to demonstrate the model.
Similar to An Unsupervised Cluster-Based VANET-Oriented Evolving Graph (CVoEG) Model and Associated Reliable Routing Scheme (20)
A Systematic Review on Routing Protocols for VANETs
A Systematic Review on Routing Protocols for VANETs
Improving QoS in VANET Using Dynamic Clustering Technique
Improving QoS in VANET Using Dynamic Clustering Technique
A novel k-means powered algorithm for an efficient clustering in vehicular ad...
A novel k-means powered algorithm for an efficient clustering in vehicular ad...
A Multi-Resolution Channel Structure Learning Estimation Method of Geometry-B...
A Multi-Resolution Channel Structure Learning Estimation Method of Geometry-B...
ACT: Securing Vanet Against Malicious Vehicles Using Advanced Clustering Tech...
ACT: Securing Vanet Against Malicious Vehicles Using Advanced Clustering Tech...
Bandwidth aware on demand multipath routing in manets
Bandwidth aware on demand multipath routing in manets
Effect of mobility models on the performance of multipath routing protocol in...
Effect of mobility models on the performance of multipath routing protocol in...
A collaborated genetic with lion optimization algorithms for improving the qu...
A collaborated genetic with lion optimization algorithms for improving the qu...
Rsaodv a route stability based ad hoc on demand distance vector routing prot...
Rsaodv a route stability based ad hoc on demand distance vector routing prot...
QUANTILE REGRESSIVE FISH SWARM OPTIMIZED DEEP CONVOLUTIONAL NEURAL LEARNING F...
QUANTILE REGRESSIVE FISH SWARM OPTIMIZED DEEP CONVOLUTIONAL NEURAL LEARNING F...
DYNAMIC QUALITY OF SERVICE STABILITY BASED MULTICAST ROUTING PROTOCOL FOR MAN...
DYNAMIC QUALITY OF SERVICE STABILITY BASED MULTICAST ROUTING PROTOCOL FOR MAN...
Dynamic Quality of Service Stability Based Multicast Routing Protocol for MAN...
Dynamic Quality of Service Stability Based Multicast Routing Protocol for MAN...
Performance Evaluation of Efficient Data Dissemination Approach For QoS Enha...
Performance Evaluation of Efficient Data Dissemination Approach For QoS Enha...
A Model For The Dynamic System Optimum Traffic Assignment Problem
A Model For The Dynamic System Optimum Traffic Assignment Problem
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An Unsupervised Cluster-Based VANET-Oriented Evolving Graph (CVoEG) Model and Associated Reliable Routing Scheme
- 1. An Unsupervised Cluster-Based VANET-Oriented Evolving Graph (CVoEG) Model and Associated Reliable Routing Scheme ABSTRACT: In vehicular ad hoc networks (VANETs), communication links break more frequently due to the high-speed vehicles. In this paper, a novel cluster-based VANET oriented evolving graph (CVoEG) model is proposed by extending the existing VoEG model to improve the reliability of vehicular communications. Here, the link reliability is used as a criterion for cluster members (CMs) and cluster heads (CHs) selection. The proposed CVoEG model divides VANET nodes (vehicles) into an optimal number of clusters (ONC) by using Eigen gap heuristic. In a given cluster, a vehicle will be selected as a CH, if it has a maximum Eigen- centrality score. Based on the CVoEG model, a reliable routing scheme called CEG-RAODV is proposed to find the most reliable journey (MRJ) from source to destination. Our simulation results show that the proposed scheme significantly outperforms the existing schemes in terms of reliability, reliable routing request (RRR), packet delivery ratio (PDR), end to end (E2E) delay, and throughput. SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS: System : Pentium Dual Core. Hard Disk : 120 GB.
- 2. Monitor : 15’’ LED Input Devices : Keyboard, Mouse Ram : 1 GB SOFTWARE REQUIREMENTS: Operating system : UBUNTU/Windows XP/7 Implementation : NS2 NS2 Version : NS2.2.28 Front End : OTCL (Object Oriented Tool Command Language) Tool : Cygwin (To simulate in Windows OS) REFERENCE: Zahid Khan , Student Member, IEEE, Pingzhi Fan, Fellow, IEEE, Sangsha Fang, Student Member, IEEE, and Fakhar Abass, Student Member, IEEE, “An Unsupervised Cluster-Based VANET-Oriented Evolving Graph (CVoEG) Model and Associated Reliable Routing Scheme”, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATIONSYSTEMS, 2019.