Link Reliability-Based Adaptive Routing for Multilevel Vehicular Networks

Xu, Chuan; Xiong, Zhengying; Han, Zhenzhen; Zhao, Guofeng; Yu, Shui

doi:10.1109/tvt.2020.3018300

Cited by 16 publications

(16 citation statements)

References 35 publications

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“…Based on road traffic information, the lane width in the road was 3.5 m and the distance between two consecutive vehicles at any stage followed the 2 s rule [ 30 ]. The network parameters used for simulation are listed in Table 1 [ 19 , 38 , 39 , 40 , 41 ].…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

Section: Numerical Results and Discussionmentioning

confidence: 99%

“…For fair assessment, the proposed traffic management strategy was compared with the recent evaluated model presented in [ 19 ]. The model presented in [ 19 ] mainly focused on precise vehicle position to decide a suitable route. The model presented in [ 19 ] also selected the link with the highest reliability as the transmission path (choosing the path with high SINR ) without taking the worst environmental conditions into consideration.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

“…Improving the efficiency of vehicular communications through a traffic jam is another important issue that should be studied and addressed, as traffic jamming causes channel overhead, and congestion reduces the system’s reliability and increases the average end-to-end delay. A dynamic link reliability method, called a link reliability-based adaptive routing algorithm (LRAR), was presented to enhance the transmission efficiency by increasing the packet delivery ratio and reducing the average end-to-end delay [ 19 ]. Additionally, to enhance the transmission efficiency of VANETs, a new framework of content delivery was suggested, where each moving vehicle can obtain small-volume content files from either the nearest infrastructure (base station) or roadside unit.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Two metrics have been considered to evaluate the system performance of the proposed model and compare it with the model proposed in [ 19 ], which are: Packet delivery ratio ( PDR ): This is the ratio of the successful number of packets received by the destinations to the total number of the packets sent by the source. The system is considered reliable and efficient when the value of PDR increases.…”

Section: Proposed Model and Problem Formulationmentioning

confidence: 99%

See 4 more Smart Citations

Novel Road Traffic Management Strategy for Rapid Clarification of the Emergency Vehicle Route Based on V2V Communications

Osman

Zaki

Abdelsalam

2021

Sensors

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Vehicle-to-vehicle communication is a promising paradigm that enables all vehicles in the traffic road to communicate with each other to enhance traffic performance and increase road safety. Through vehicle-to-vehicle (V2V) communication, vehicles can understand the traffic conditions based on the information sent among vehicles on the road. Due to the potential delay caused by traffic jams, emergency vehicles may not be able to reach their destination in the required time, leading to severe losses. The case is more severe especially in developing countries where no emergency-vehicle-dedicated lanes are allocated. In this study, a new emergency vehicle route-clarifying strategy is proposed. The new clarifying strategy is based on vehicular traffic management in different interference medium scenarios. The proposed model aims, through V2V communication, to find the nearest vehicle with which to communicate. This vehicle plays an important role in reducing the travel time: as the emergency message is received, this vehicle will immediately communicate with all the neighboring vehicles on the road. Based on V2V communications, all the vehicles in the road will clear from the lane in the road for the emergency vehicle can safely reach its destination with the minimum possible travel time. The maximum distance between the emergency vehicle and the nearest vehicle was determined under different channel conditions. The proposed strategy applied an optimization technique to find the varied road traffic parameters. The proposed traffic management strategy was evaluated and examined through different assumptions and several simulation scenarios. The obtained results validated the effectiveness and the accuracy of the proposed model, and also indicated significant improvement in the network’s performance in terms of packet delivery ratio (PDR) and average end-to-end delay (E2E).

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