Research on adaptive beacon message broadcasting cycle based on vehicle driving stability

Zhang, Yuejin; Wang, Meng; Wang, Juan; Du, Fei; Hu, Yong; Yu, Meng; Li, Guanghui; Zhan, Aiyun

doi:10.1002/nem.2091

Cited by 9 publications

(3 citation statements)

References 40 publications

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“…In general, routing can be divided into four categories based on how it is carried out: Multicast routing, broadcast routing, and geocast routing. 163 In VANETs, unicast routing can be defined as routing packets from a source node to a destination node, termed one-to-one communication. Multicast routing in VANETs can be defined as forwarding a packet from a source node to a set or group of nodes, termed a group or one-to-many communication.…”

Section: Routing Protocolsmentioning

confidence: 99%

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Stochastic modeling and performance analysis in balancing load and traffic for vehicular ad hoc networks: A review

Ravi

Kumar²,

et al. 2023

Int J Network Mgmt

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SummaryThe rapid growth of vehicular applications has resulted in high demand for Internet technology, which demands an unprecedented network capacity and a high quality of service (QoS). In vehicular ad hoc networks (VANETs), since nodes (vehicles) are highly mobile. The dynamic nature of the network topology in the VANET system changes due to frequent changes in link connectivity. The vehicles‐to‐vehicles (V2V), vehicles‐to‐infrastructure (V2I), and QoS, as well as the heterogeneity of applications within the VANET. VANETs have been introduced to make driving comfortable by providing safety and support to drivers. Due to the flexibility and offloading schemes available in‐vehicle applications, there are some limitations. However, there are many issues in providing optimum service provisioning and scheduling in the vehicular environment. In VANETs, BSs and roadside units (RSUs) improve QoS. However, Internet services transmit packets to vehicles using stochastic models, and it predicts the traffic on a VANET. We provide open challenges to drive stochastic models in this direction.

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Section: Routing Protocolsmentioning

confidence: 99%

“…In general, routing can be divided into four categories based on how it is carried out: Multicast routing, broadcast routing, and geocast routing 163 . In VANETs, unicast routing can be defined as routing packets from a source node to a destination node, termed one‐to‐one communication.…”

Section: Open Challengesmentioning

confidence: 99%

Stochastic modeling and performance analysis in balancing load and traffic for vehicular ad hoc networks: A review

Ravi

Kumar²,

et al. 2023

Int J Network Mgmt

View full text Add to dashboard Cite

show abstract

“…GA is a search heuristic algorithm for solving optimization problems [15]. With scalability as its main feature, this algorithm can be combined with other algorithms to form a high-quality hybrid algorithm combining the advantages of both sides [19]. Based on the defects of SVR prediction method itself, GA is used to carry out optimization, which can effectively optimize the threshold and weight under its initialization state, and can better carry out actual training and prediction for SVR [4].…”

Section: Optimization Of Svr Parameters By Gamentioning

confidence: 99%

A traffic flow forecasting method based on the GA-SVR

Zhan

Chen³

et al. 2022

JHS

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This paper uses support vector regression (SVR) to predict short-term traffic flow, and studies the feasibility of SVR in short-term traffic flow prediction. The short-time traffic flow has many influencing factors, which are characterized by nonlinearity, randomness and periodicity. Therefore, SVR algorithm has advantages in dealing with such problems. In order to improve the prediction accuracy of the SVR, this paper uses genetic algorithm (GA) to optimize the SVR and other parameters to obtain the global optimal solution. The optimal parameters are used to construct the SVR prediction model. This paper selects the traffic flow data of the Jiangxi Provincial Transportation Department database to verify the feasibility and effectiveness of the proposed model.

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Research on Adaptive Beacon Transmitting Power Based on Vehicle Forecast Error

Wang

Yin

et al. 2020

Machine Learning for Cyber Security

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Research on adaptive beacon message broadcasting cycle based on vehicle driving stability

Cited by 9 publications

References 40 publications

Stochastic modeling and performance analysis in balancing load and traffic for vehicular ad hoc networks: A review

Stochastic modeling and performance analysis in balancing load and traffic for vehicular ad hoc networks: A review

A traffic flow forecasting method based on the GA-SVR

Research on Adaptive Beacon Transmitting Power Based on Vehicle Forecast Error

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