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Article type: Research Article
Authors: Ikeda, Makoto; *
Affiliations: Department of Information and Communication Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, Japan
Correspondence: [*] Corresponding author. E-mail: [email protected].
Abstract: In the next generation wireless networks, the number of connected terminals to the network, communication protocols, and the channels available will be increased, thus network slicing will become more important. Also, vehicles, buses, trains and motorcycles are considered communication terminals. These communication terminals should have independent network management considering their movement such as joining and leaving the networks. Therefore, Delay-Disruption-Disconnection Tolerant Networking (DTN) has been attracting attention for their potential support of inter-vehicle communication. In this paper are presented the Contact-Time (CT) based and Adaptive-Timer (AT) based Message Suppression (MS) methods for Vehicular DTN. For the CT-based MS method are used three DTN protocols for Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication. For AT-based MS are used conventional Epidemic and two proposed Epidemic-based methods for V2V communication. We compare MS method, Message Suppression Controller (MSC) and MSC with Adaptive Threshold (MSC-ATh). The simulation results show that MSC-ATh performs better than other approaches. The storage consumption is improved when the number of vehicles increases and there is no reduction in PDR even if the message suppression is enabled. For Epidemic, when the number of Road-Side Units (RSUs) is 16, the results of PDR are the best compared with other DTN protocols. The MSC-ATh method is about 22% better than Epidemic for storage consumption. Also, the delay performance of MSC-ATh is improved by increasing the Suppression Coefficients (SCs) and number of vehicles.
Keywords: DTN, Adaptive Timer, VANET, Message Suppression
DOI: 10.3233/JHS-222071
Journal: Journal of High Speed Networks, vol. 29, no. 1, pp. 57-73, 2023
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