OPBRP - obstacle prediction based routing protocol in VANETs

Diaa, Mariam; Mohamed, I. Samer; Hassan, M. Ayman

doi:10.1016/j.asej.2022.101989

Cited by 10 publications

(7 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The selection of paths and the selection of relays are the two main factors that affect the performance of routing methods; therefore, several typical methods that can improve the selection strategies of both are selected for comparison and, thus, used to verify the effectiveness of the proposed HMDR. Specifically, four methods, namely, BRAVE [27]; MISR [28]; IGCR [29]; OPBR [30]; and simplified HMDR, which ignores the link time estimation in the optimal relay selection phase, are selected as comparison models in the experimental section. BRAVE uses Dijkstra's algorithm to find the shortest routing path and a distance-based random back-off time to select the relay.…”

Section: Comparative Results and Analysismentioning

confidence: 99%

Heuristic Path Search and Multi-Attribute Decision-Making-Based Routing Method for Vehicular Safety Messages

Nie,

Zhang,

Bao

et al. 2023

Sensors

View full text Add to dashboard Cite

Efficient routing in urban vehicular networks is essential for timely and reliable safety message transmission, and the selection of paths and relays greatly affects the quality of routing. However, existing routing methods usually face difficulty in finding the globally optimal transmission path due to their greedy search strategies or the lack of effective ways to accurately evaluate relay performance in intricate traffic scenarios. Therefore, we present a vehicular safety message routing method based on heuristic path search and multi-attribute decision-making (HMDR). Initially, HMDR utilizes a heuristic path search, focusing on road section connectivity, to pinpoint the most favorable routing path. Subsequently, it employs a multi-attribute decision-making (MADM) technique to evaluate candidate relay performance. The subjective and objective weights of the candidate relays are determined using ordinal relationship analysis and the Criteria Importance Through Intercriteria Correlation (CRITIC) weighting methods, respectively. Finally, the comprehensive utility values of the candidate relays are calculated in combination with the link time and the optimal relay is selected. In summary, the proposed HMDR method is capable of selecting the globally optimal transmission path, and it comprehensively considers multiple metrics and their relationships when evaluating relays, which is conducive to finding the optimal relay. The experimental results show that even if the path length is long, the proposed HMDR method gives preference to the path with better connectivity, resulting in a shorter total transmission delay for safety messages; in addition, HMDR demonstrates faster propagation speed than the other evaluated methods while ensuring better one-hop distance and one-hop delay. Therefore, it helps to improve the performance of vehicular safety message transmission in intricate traffic scenarios, thus providing timely data support for secure driving.

show abstract

Section: Comparative Results and Analysismentioning

confidence: 99%

Heuristic Path Search and Multi-Attribute Decision-Making-Based Routing Method for Vehicular Safety Messages

Nie,

Zhang,

Bao

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Optimized Link State Routing (OLSR) is a routing protocol mainly used in VANET networks [20], [21]. In the traditional link-state routing algorithm, each node in the network broadcasts its link-state packets to other nodes, and this process is called flooding.…”

Section: Optimization Of Olsr Routing Protocolmentioning

confidence: 99%

Untitled

2024

IJCNC

View full text Add to dashboard Cite

“…By predicting the obstacles on road, a routing protocol was reported by Diaa et al 27 for VANET. The route in the environment was selected by using vehicle's kinematics and mobility prediction.…”

Section: Literature Surveymentioning

confidence: 99%

Driver behaviour prediction and enhanced ad hoc on‐demand distance vector routing protocol in VANET

Swamynathan,

Ravi,

Ranganayakulu

et al. 2023

Int J Communication

View full text Add to dashboard Cite

SummaryMobility pattern recognition is a complex task in vehicle ad hoc networks (VANET) because the driving state of each vehicle is different. An intelligent transportation system on VANET is used for traffic control and accident prevention. For this reason, human driver behaviour is first analysed to identify mobility patterns. A novel driver behaviour prediction model using a Siamese deep learning architecture is proposed to achieve the goal. Here, an image‐based behaviour prediction model is performed to achieve the highly accurate driving state of the driver. A warning message is forwarded to the neighbouring vehicles based on the driver's behaviour. Due to the dynamic properties of real‐time vehicle mobility, a faster data transmission model is achieved using the ad hoc on‐demand distance vector routing protocol. To achieve faster data transmission and nullified retransmission, here a weighted location‐based routing model is framed. The optimization problem in the location‐aided routing protocol is solved using the vector algorithm's weighted mean. As a result, the proposed method improved the throughput of ASHLOSR to 8.1% and AODV to 7.6%.

show abstract

OPBRP - obstacle prediction based routing protocol in VANETs

Cited by 10 publications

References 44 publications

Heuristic Path Search and Multi-Attribute Decision-Making-Based Routing Method for Vehicular Safety Messages

Heuristic Path Search and Multi-Attribute Decision-Making-Based Routing Method for Vehicular Safety Messages

Untitled

Driver behaviour prediction and enhanced ad hoc on‐demand distance vector routing protocol in VANET

Contact Info

Product

Resources

About