EDDA: An Efficient Distributed Data Replication Algorithm in VANETs

Zhu, Jiang; Huang, Chuanhe; Fan, Xuejun; Guo, Sipei; Fu, Bin

doi:10.3390/s18020547

Cited by 7 publications

(5 citation statements)

References 57 publications

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“…The slip angle β can be solved by (8). The angle ψ is the heading angle of the vehicle, which can be solved by (9).…”

Section: ) Vehicle Dynamicsmentioning

confidence: 99%

“…The IEEE 802.11p standard is a shortwave communications standard that is extensively employed for vehicle-to-vehicle communication in CACC systems. Many research investigations [8][9][10][11] have focused on vehicleto-vehicle communications to enhance the safety and performance of autonomous vehicle systems. In addition, MPC with the SA-PSO algorithm, which was proposed for the CACC system, effectively resolved the non-linearity issue, resulting in improved distance between vehicles [12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Vehicle Following Control via V2V SIMO Communications Using MBD Approach

Sopajarn,

Booranawong,

Chumpol

et al. 2023

IEEE Access

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Autonomous vehicle systems have been significantly increasing in design complexity, including precise control, reliable communications, and data security. This paper presents a Model-Based Design (MBD) framework on MATLAB/Simulink to integrate the vehicle model, Vehicle-to-Vehicle (V2V) communication model, and autonomous driving scenario model. A vehicle-following control model is demonstrated to maneuver a follower vehicle using locations and velocities of the leader vehicle sent via V2V. The vehicle model consists of Time to Collision (TTC), velocity decision control, pathfollowing control, and vehicle dynamics. The follower vehicle decision is modeled by MathWorks Stateflowconsidering the important factors including velocities, positions, lanes, obstacles, and buildings that effect V2V communication efficiency. Simulink Design Verifier which is a formal verification tool was then used to verifier the TTC, velocity decision, and path following control. The test coverage analysis and test harness were repeated to generate test patterns with 100% coverage results. The experiments were done under the following communications and environmental conditions: single-input-single-output (SISO) without buildings, SISO with buildings, and single-input-multiple-output (SIMO) with buildings. The resulting communication packet delivery ratios were 100%, 95.32%, and 99.91%, respectively. This reveals that the proposed method can effectively model the vehicle following control and autonomous driving scenario including the effects of V2V communications efficiencies.

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“…The slip angle β can be solved by (8). The angle ψ is the heading angle of the vehicle, which can be solved by (9).…”

Section: ) Vehicle Dynamicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vehicle Following Control via V2V SIMO Communications Using MBD Approach

Sopajarn,

Booranawong,

Chumpol

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Zeng et al [30] proposed a channel prediction-based scheduling strategy for cooperative data dissemination in VANET, which reduces communication overhead and the data dissemination delay. Zhu et al [31] proposed a distributed data replication algorithm with the idea of letting the data carrier distribute the data dissemination tasks to multiple nodes to speed up the dissemination process.…”

Section: Related Workmentioning

confidence: 99%

Efficient and Reliable Cluster-Based Data Transmission for Vehicular Ad Hoc Networks

Fan

et al. 2018

Mobile Information Systems

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Vehicular ad hoc network (VANET) is an emerging technology for the future intelligent transportation systems (ITSs). The current researches are intensely focusing on the problems of routing protocol reliability and scalability across the urban VANETs. Vehicle clustering is testified to be a promising approach to improve routing reliability and scalability by grouping vehicles together to serve as the foundation for ITS applications. However, some prominent characteristics, like high mobility and uneven spatial distribution of vehicles, may affect the clustering performance. Therefore, how to establish and maintain stable clusters has become a challenging problem in VANETs. This paper proposes a link reliability-based clustering algorithm (LRCA) to provide efficient and reliable data transmission in VANETs. Before clustering, a novel link lifetime-based (LLT-based) neighbor sampling strategy is put forward to filter out the redundant unstable neighbors. The proposed clustering scheme mainly composes of three parts: cluster head selection, cluster formation, and cluster maintenance. Furthermore, we propose a routing protocol of LRCA to serve the infotainment applications in VANET. To make routing decisions appropriate, we nominate special nodes at intersections to evaluate the network condition by assigning weights to the road segments. Routes with the lowest weights are then selected as the optimal data forwarding paths. We evaluate clustering stability and routing performance of the proposed approach by comparing with some existing schemes. The extensive simulation results show that our approach outperforms in both cluster stability and data transmission.

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“…We denote by

the maximum time difference between the clocks that these vehicles have. For the sake of presentation simplicity, we also assume access to a time yet unreliable dissemination protocol, such as [ 21 , 22 , 23 , 24 , 25 ]. Namely, the algorithm code of vehicle

in members uses

to broadcast message m to all vehicles in the set of members within a known end-to-end delay, D (that can be omitted from the network in an arbitrary manner).…”

Section: System Settingsmentioning

confidence: 99%

How to Stop Disagreeing and Start Cooperatingin the Presence of Asymmetric Packet Loss

Morales-Ponce

Schiller

Falcone

2018

Sensors

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We consider the design of a disagreement correction protocol in multi-vehicle systems. Vehicles broadcast in real-time vital information such as position, direction, speed, acceleration, intention, etc. This information is then used to identify the risks and adapt their trajectory to maintain the highest performance without compromising the safety. To minimize the risk due to the use of inconsistent information, all cooperating vehicles must agree whether to use the exchanged information to operate in a cooperative mode or use the only local information to operate in an autonomous mode. However, since wireless communications are prone to failures, it is impossible to deterministically reach an agreement. Therefore, any protocol will exhibit necessary disagreement periods. In this paper, we investigate whether vehicles can still cooperate despite communication failures even in the scenario where communication is suddenly not available. We present a deterministic protocol that allows all participants to either operate a cooperative mode when vehicles can exchange all the information in a timely manner or operate in autonomous mode when messages are lost. We show formally that the disagreement time is bounded by the time that the communication channel requires to deliver messages and validate our protocol using NS-3 simulations. We explain how the proposed solution can be used in vehicular platooning to attain high performance and still guarantee high safety standards despite communication failures.

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EDDA: An Efficient Distributed Data Replication Algorithm in VANETs

Cited by 7 publications

References 57 publications

Vehicle Following Control via V2V SIMO Communications Using MBD Approach

Vehicle Following Control via V2V SIMO Communications Using MBD Approach

Efficient and Reliable Cluster-Based Data Transmission for Vehicular Ad Hoc Networks

How to Stop Disagreeing and Start Cooperatingin the Presence of Asymmetric Packet Loss

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