Multipoint Relaying Versus Chain-Branch-Leaf Clustering Performance in Optimized Link State Routing-Based Vehicular Ad Hoc Networks

Rivoirard, Lucas; Wahl, Martine; Sondi, Patrick

doi:10.1109/tits.2019.2900767

Cited by 19 publications

(14 citation statements)

References 18 publications

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“…To optimize network performance, VANET routing protocols used clustering and multipoint relaying (MPR) until it was discovered that MPR, which was initially designed for open areas, does not really benefit from road section configurations. The authors of [93] propose a chain branch leaf clustering scheme to enhance broadcast traffic and help with routing actions.…”

Section: E Cluster-based Approachesmentioning

confidence: 99%

“…Contributions [91] Maintains long-lived routes where the most sustainable path is adaptively selected on the basis of signal strength, beacon, and node mobility [92] The network is divided into clusters which move along with vehicles for supporting data dissemination at road junctions [93] The proposed clustering scheme enhances the broadcast traffic [94] Introduces a rider optimization algorithm to select neighbor nodes in order to ensure network lifetime [95] Considers DDOS attack to monitor the position of the sender field station, where the trustworthiness of data packets is tested [96] Designs a centralized clustering approach with a data transmission optimization method for cellular-V2X hybrid vehicular networks…”

Section: Itemmentioning

confidence: 99%

“…Lack of details on the overhead of the software-defined based architecture Al-Kharasani et al [91] (1) Helps maintain long-lived routes, (2) Control message overhead is reduced, (3) Recalculation process of routing tables Details of node mobility and traffic overhead are not highlighted Rivoirard et al [93] (1) Decreases routing traffic due to formation as well as retransmission of control messages on topology, (2) Helps in overall network stability Lack of details of the impact of different network conditions Alsharif et al [82] (1) Dynamically selects paths with a lower delivery delay and guaranteed connectivity, (2) High packet delivery ratio, (3) Less end-to-end delay…”

Section: Itemmentioning

confidence: 99%

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A Survey of VANET/V2X Routing From the Perspective of Non-Learning- and Learning-Based Approaches

Chatterjee¹,

Karmakar

Kaddoum

et al. 2022

IEEE Access

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Intelligent transportation systems (ITSs) have become increasingly popular because they support effective coordination in connected vehicles. ITSs present an integrated approach for exchanging relevant information in order to improve the safety, efficiency, and reliability of road transportation systems. A variant of mobile ad-hoc networks (MANETs) called vehicular ad-hoc networks (VANETs) are an integral component of ITSs. VANETs consist of interconnected vehicles with sensing abilities that exchange information related to traffic, positioning, weather, and emergency services. In general, vehicle-to-everything (V2X) refers to communications between any entity and a vehicle, where the entity may be a vehicle, a cloud-based network, a pedestrian, or equipment installed along a road. One of the crucial challenges in V2X is the reliable and timely circulation of information among vehicular nodes to allow drivers to make decisions that increase road safety. In this context, efficient V2X routing protocols play a key role in supporting reliability and safety, and enhancing the overall quality of service (QoS) in VANETs. However, VANETs have distinct characteristics, such as high vehicular node mobility, unsteady connectivity, rapid changes in network topology, and unbounded network size, that can significantly affect routing in the network. Various routing protocols for V2X communication exist in the open technical literature. In this survey, we categorize the routing mechanisms as non-learning-and learning-based approaches, and discuss existing V2X routing protocols and their contributions to and impacts on VANET performance. Here, the learning-based approach implies the use of machine learning algorithms. This survey also summarizes open challenges in designing effective V2X routing protocols and future research directions to consider when developing smart routing mechanisms for next-generation intelligent VANET technologies.INDEX TERMS VANET, V2X, routing protocol, non-learning-based routing, learning-based routing.

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Section: E Cluster-based Approachesmentioning

confidence: 99%

Section: Itemmentioning

confidence: 99%

Section: Itemmentioning

confidence: 99%

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A Survey of VANET/V2X Routing From the Perspective of Non-Learning- and Learning-Based Approaches

Chatterjee¹,

Karmakar

Kaddoum

et al. 2022

IEEE Access

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“…However, the routing complexity to maintain the alternative route is not considered in the result. The authors in [32] introduced a clustering scheme, chain-branch-leaf (CBL), that builds a virtual backbone in VANET. They optimized the size of packet flooding by limiting the packet retransmission according to a predefined strategy.…”

Section: Related Workmentioning

confidence: 99%

An Adaptive Relay Selection Scheme for Enhancing Network Stability in VANETs

et al. 2020

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Vehicular ad hoc networks (VANETs) are a special type of wireless ad hoc network that requires highly scalable routing strategies to establishing reliable end-to-end communication. Because of the high dynamic of VANETs, the mobility of vehicle nodes increases the control traffic overhead. Accordingly, establishing reliable end-to-end communication paths depends entirely on the routing mechanism and the type of nodes mobility information. In this paper, we propose a new improvement to the mechanism of the Optimized Link State Routing Protocol(OLSR) protocol, named Cluster-based Adept Cooperative Algorithm (CACA), where each vehicle estimate a reliable low-overhead path using the cluster-based QoS algorithm. The CACA algorithm is introduced to improve the ability of the MPR scheme for maintaining long-lived routes. Moreover, the network scalability is enhanced by adaptively selecting most sustainable paths based on a signal strength beacon and the mobility degree of a node, which reduces significantly minimizes the size of control messages overhead as well the routing tables recalculation process. Simulation experiments using the network simulator are presented to demonstrate the effectiveness of our solution. The results show that the proposed algorithm can improve network performance effectively relative to other algorithms. INDEX TERMS Quality of Service, VANETs, cooperative MPR scheme, Routing, cluster-based, OLSR protocol.

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“…It launches connections among the neighboring vehicles and also among the vehicles and the roadside units [9]. The message in a vehicular network can be categorized into the Vehicle to Vehicle (V2V) and the Vehicle to Infrastructures (V2I) types [10]. The Dedicated Short-Range Communication (DSRC) appears to be an individual consistent such as a de-facto protocol in VANETs for sustaining both the Vehicle to Vehicle (V2V) communications and the Vehicle to Infrastructure (V2I) based communications.…”

Section: Introductionmentioning

confidence: 99%

VANET: Optimal Cluster Head Selection Using Opposition Based Learning

Aravindkumar¹,

Varalakshmi²

2022

Intelligent Automation &Amp; Soft Computing

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Traffic related accidents and route congestions remain to dwell significant issues in the globe. To overcome this, VANET was proposed to enhance the traffic management. However, there are several drawbacks in VANET such as collision of vehicles, data transmission in high probability of network fragmentation and data congestion. To overcome these issues, the Enhanced Pigeon Inspired Optimization (EPIO) and the Adaptive Neuro Fuzzy Inference System (ANFIS) based methods have been proposed. The Cluster Head (CH) has been selected optimally using the EPIO approach, and then the ANFIS has been used for updating and validating the CH and also for enhancing the data transmission procedures. The dijkstra's algorithm has been used for identifying the shortest path for data transmission. The results showcases that the proposed technique has attained the maximum Packet Delivery Ratios (PDRs) as 73.23% at a sensor radius of 130 m and 70.42% at a velocity of 10 km/h. Moreover, the proposed method has outperformed the existing technique in terms of the CH formation delay, the end to end delay and the PDR.

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Multipoint Relaying Versus Chain-Branch-Leaf Clustering Performance in Optimized Link State Routing-Based Vehicular Ad Hoc Networks

Cited by 19 publications

References 18 publications

A Survey of VANET/V2X Routing From the Perspective of Non-Learning- and Learning-Based Approaches

A Survey of VANET/V2X Routing From the Perspective of Non-Learning- and Learning-Based Approaches

An Adaptive Relay Selection Scheme for Enhancing Network Stability in VANETs

VANET: Optimal Cluster Head Selection Using Opposition Based Learning

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