A novel reliable low-latency multipath routing scheme for vehicular ad hoc networks

Abbas, Fakhar; Fan, Pingzhi

doi:10.1186/s13638-018-1292-1

Cited by 10 publications

(6 citation statements)

References 28 publications

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“…Table 1 shows that 4 QoS parameters must be investigated for possible 5G V2X implementation: data rate, reliability, end-to-end latency and communication range, similarly to [19]. Additionally, our 5G V2X QoS analysis considers two extra parameters, vehicle density and throughput, similarly to [31].…”

Section: Qos Analysismentioning

confidence: 99%

3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes

Kosmanos

Chaikalis

Savvas

2022

Telecom

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Cellular vehicle-to-everything (C-V2X) communication has recently gained attention in industry and academia. Different implementation scenarios have been derived by the 3rd Generation Partnership Project (3GPP) 5th Generation (5G) Vehicle-to-Everything (V2X) standard, Release 16. Quality of service (QoS) is important to achieve reliable communication and parameters which have to be considered are reliability, end-to-end latency, data rate, communication range, throughput and vehicle density for an urban area. However, it would be desirable to design a dynamic selecting system (with emphasis on channel coding parameters selection) so that all QoS parameters are satisfied. Having this idea in mind, in this work we examine nine V2X implementation scenarios using Long Term Evolution (LTE) turbo coding with a geometry-based efficient propagation model for vehicle-to-vehicle communication (GEMV), where we consider the above QoS parameters for SOVA, log-MAP and max-log-MAP decoding algorithms. Our study is suitable for 3GPP cooperative sensing, for the eight scenarios considering medium and large signal-noise-ratio (SNR) values. The proposed model is sustainable despite a doubled data rate, which results in a minimal bit error rate (BER) performance loss up to 1.85 dB. In this case tripling the data rate results in a further 1 dB loss. Moreover, a small loss up to 0.4 dB is seen for a vehicle speed increase from 60 km/h to 100 km/h. Finally, increasing vehicle density has no effect on the implemented 3GPP scenario considering end-to-end latency, irrespectively from the decoding algorithm.

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Section: Qos Analysismentioning

confidence: 99%

3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes

Kosmanos

Chaikalis

Savvas

2022

Telecom

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“…However, performance enhancement in the vehicular network is always affected by the autonomous vehicle's position, mobility, speeds, transmission range and density. These issues can have an adverse effect on the performance of the vehicular networks [11]. The density and the transmission range of the vehicles are two of the main factors on which the connectivity in vehicular communications depends.…”

Section: Introductionmentioning

confidence: 99%

A Novel Adaptive Approach for Autonomous Vehicle Based on Optimization Technique for Enhancing the Communication between Autonomous Vehicle-to-Everything through Cooperative Communication

Osman

Abdelsalam

2021

Applied Sciences

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Recent autonomous intelligent transportation systems commonly adopt vehicular communication. Efficient communication between autonomous vehicles-to-everything (AV2X) is mandatory to ensure road safety by decreasing traffic jamming, approaching emergency vehicle warning, and assisting in low visibility traffic. In this paper, a new adaptive AV2X model, based on a novel optimization method to enhance the connectivity of the vehicular networks, is proposed. The presented model optimizes the inter-vehicle position to communicate with the autonomous vehicle (AV) or to relay information to everything. Based on the system quality-of-service (QoS) being achieved, a decision will be taken whether the transmitting AV communicates directly to the destination or through cooperative communication. To achieve the given objectives, the best position of the relay-vehicle issue was mathematically formulated as a constrained optimization problem to enhance the communication between AV2X under different environmental conditions. To illustrate the effectiveness of the proposed model, the following factors are considered: distribution of vehicles, vehicle density, vehicle mobility and speed. Simulation results show how the proposed model outperforms other previous models and enhances system performance in terms of four benchmark aspects: throughput (S), packet loss rate (PLR), packet delivery ratio (PDR) and average delivery latency (DL).

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“…A reliable low-latency multipath routing (RLLMR) method was introduced in [11] based on multipath link reliability for determining the reliable routes. The designed RLLMR method significantly minimizes the link failures but efficient stable link identification was not performed.…”

Section: Introductionmentioning

confidence: 99%

Trilateral Location based Maximum Weighted Directive Spanning Tree for Optimal Routing in IoV

Devi¹,

Bhuvaneswari²

2021

IJC

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Internet of Vehicles (IoV) is one of the developing models in the Vehicular adhoc networks (VANETs) with the vast improvement of communication technologies. In order to improve data transmission among the multiple communities without link breakage, a novel Trilateral Location Identified Maximum Weighted Directive Spanning Tree (TLIMWDST) technique is introduced. The proposed TLIMWDST technique consists of two major phases, namely location identification and optimal path identification to improve the reliability of data transmission from source vehicle to destination vehicle. In the first phase, the location of the neighboring vehicles is identified by applying a trilateration technique. After the location identification, an optimal route path between the source and destination is identified using Maximum Weighted Directive Spanning Tree (MWDST) through the intermediate nodes. The performance of the TLIMWDST technique is assessed through simulation as compared to the previous path selection techniques in terms of different routing metrics such as packet delivery ratio, packet loss rate, end-to-end delay and throughput with respect to the number of data packets.

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A novel reliable low-latency multipath routing scheme for vehicular ad hoc networks

Cited by 10 publications

References 28 publications

3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes

3GPP 5G V2X Scenarios: Performance of QoS Parameters Using Turbo Codes

A Novel Adaptive Approach for Autonomous Vehicle Based on Optimization Technique for Enhancing the Communication between Autonomous Vehicle-to-Everything through Cooperative Communication

Trilateral Location based Maximum Weighted Directive Spanning Tree for Optimal Routing in IoV

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