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http://dx.doi.org/10.14801/jkiit.2018.16.11.69

Performance Analysis of RSUs in Probability-Based Data Delivery Strategy for Energy-Constrained V2I Systems  

Suh, Bongsue (Department of Inform. and Commun. Eng., Kongju National University)
Abstract
As for V2I(Vehicle-to-Infrastructure) systems with energy-constrained RSUs(Road Side Units), the previous data delivery strategies have not considered the aspect of energy usage at RSUs. A new data delivery strategy has been proposed to determine the RSU's participation in data delivery based on the probability dependent on the RSU's remaining energy, and it showed the lower data delivery time than the previous approaches. In this paper, we propose methods to analyze the number of RSUs participating in data delivery and the variations of RSUs' energy value for the consecutive data deliveries. As a numerical result, compared with the previous strategy, the probability-based data delivery strategy shows the lower number of participating RSUs and the increased average energy value of all RSUs. In addition, from the analytical results, we propose considerations for the real implementations of the similar systems.
Keywords
vehicle-to-Infrastructure; road side unit; data delivery participation; remaining energy;
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1 B. Suh, "Probability-Based Data Delivery Strategy for V2I Systems with Energy-Constrained RSUs", The Journal of Korean Institute of Information Technology, Vol. 16, No. 1, pp. 87-93, Jan. 2018.   DOI
2 Q. Wang, P. Fan, and K. B. Letaief, "On the joint V2I and V2V scheduling for cooperative VANETs with network coding", IEEE Trans. Vehicular Technology, Vol. 61, No. 1, pp. 62-73, Jan. 2012.   DOI
3 S. C. Kam and S. J. Seok, "A scheme of selecting a base station for V2I vehicle communications", The Journal of Korean Institute of Information Technology, Vol. 10, No. 2, pp. 70-78, Feb. 2012.
4 L. Huang, H. Jiang, Z. Zhang, and Z. Yan, "Optimal traffic scheduling between roadside units in vehicular delay-tolerant networks", IEEE Trans. Vehicular Technology, Vol. 64, No. 3, pp. 1079-1094, Mar. 2015.   DOI
5 W. S. Atoui, M. A. Salahuddin, W. Ajib, and M. Boukadoum, "Scheduling Energy Harvesting Roadside Units in Vehicular Ad Hoc Networks", Proceedings of 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), pp. 1-5, Sep. 2016.
6 M. J. Khabbaz, W. F. Fawaz, and C. M. Assi, "Which vehicle to select?", IEEE Commun. Lett., Vol. 16, No. 6, pp. 812-815, Jun. 2012.   DOI
7 B. Suh and S. Berber, "Broadcast-based data delivery strategy for V2I multihop vehicular networks", IET Elect. Let., Vol. 50, No. 7, pp. 556-558, Mar. 2014.   DOI
8 R. Atallah, M. Khabbaz, and C. Assi, "Energy harvesting in vehicular networks: a contemporary survey", IEEE Wireless Communications, Vol. 23, No. 2, pp. 70-77, Apr. 2016.   DOI
9 SUMO - Simulation of Urban MObility, available at http://sumo.dlr.de, [accessed: Sep. 3, 2018]
10 A. Mehar, S. Chandra, and S. Velmurugan, "Speed and acceleration characteristics of different types of vehicles on multi-lane highways", European Transport, Vol. 55, No. 1, pp. 1-12, Jan. 2013.
11 W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, "An application-specific protocol architecture for wireless microsensor networks", IEEE Trans. Wireless Commun., Vol. 1, No. 4, pp. 660-670, Oct. 2002.   DOI
12 C. Guo, D. Li, G. Zhang, and Z. Cui, "Data delivery delay reduction for VANETs on bi-directional roadway", IEEE Access, Vol. 4. pp. 8514-8524, Dec. 2016.   DOI