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Open AccessArticle

ARNS: Adaptive Relay-Node Selection Method for Message Broadcasting in the Internet of Vehicles

1
School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, China
2
College of Information Engineering, Henan University of Science and Technology, Luoyang 471000, China
3
Computer Science Department, Community College, King Saud University, Riyadh 11437, Saudi Arabia
4
Mathematics and Computer Science Department, Faculty of Science, Menoufia University, Shebin-El-kom 32511, Egypt
5
College of Science and Engineering, Oral Roberts University, Tulsa, OK 74171, USA
6
Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(5), 1338; https://doi.org/10.3390/s20051338
Received: 18 January 2020 / Revised: 27 February 2020 / Accepted: 27 February 2020 / Published: 29 February 2020
The proper utilization of road information can improve the performance of relay-node selection methods. However, the existing schemes are only applicable to a specific road structure, and this limits their application in real-world scenarios where mostly more than one road structure exists in the Region of Interest (RoI), even in the communication range of a sender. In this paper, we propose an adaptive relay-node selection (ARNS) method based on the exponential partition to implement message broadcasting in complex scenarios. First, we improved a relay-node selection method in the curved road scenarios through the re-definition of the optimal position considering the distribution of the obstacles. Then, we proposed a criterion of classifying road structures based on their broadcast characteristics. Finally, ARNS is designed to adaptively apply the appropriate relay-node selection method based on the exponential partition in realistic scenarios. Simulation results on a real-world map show that the end-to-end broadcast delay of ARNS is reduced by at least 13.8% compared to the beacon-based relay-node selection method, and at least 14.0% compared to the trinary partitioned black-burst-based broadcast protocol (3P3B)-based relay-node selection method. The broadcast coverage is increased by 3.6–7% in curved road scenarios, with obstacles benefitting from the consideration of the distribution of obstacles. Moreover, ARNS achieves a higher and more stable packet delivery ratio (PDR) than existing methods profiting from the adaptive selection mechanism. View Full-Text
Keywords: Internet of Vehicles; adaptive mechanism; multi-hop broadcasting; relay-node selection Internet of Vehicles; adaptive mechanism; multi-hop broadcasting; relay-node selection
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MDPI and ACS Style

Cao, D.; Jiang, Y.; Wang, J.; Ji, B.; Alfarraj, O.; Tolba, A.; Ma, X.; Liu, Y. ARNS: Adaptive Relay-Node Selection Method for Message Broadcasting in the Internet of Vehicles. Sensors 2020, 20, 1338. https://doi.org/10.3390/s20051338

AMA Style

Cao D, Jiang Y, Wang J, Ji B, Alfarraj O, Tolba A, Ma X, Liu Y. ARNS: Adaptive Relay-Node Selection Method for Message Broadcasting in the Internet of Vehicles. Sensors. 2020; 20(5):1338. https://doi.org/10.3390/s20051338

Chicago/Turabian Style

Cao, Dun; Jiang, Yuchen; Wang, Jin; Ji, Baofeng; Alfarraj, Osama; Tolba, Amr; Ma, Xiaomin; Liu, Yonghe. 2020. "ARNS: Adaptive Relay-Node Selection Method for Message Broadcasting in the Internet of Vehicles" Sensors 20, no. 5: 1338. https://doi.org/10.3390/s20051338

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