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Article type: Research Article
Authors: Verma, Poonam; * | Singh, Neeta
Affiliations: School of ICT, Gautam Buddha University, Greater Noida, Uttar Pradesh, 201308, India. E-mails: [email protected], [email protected]
Correspondence: [*] Corresponding author. E-mail: [email protected].
Abstract: This paper proposes a two-tier structure for improving the MAC layer performance of a vehicular network. In tier-1, an improved vehicle-ID based analytical model is proposed. In tier-2, a fuzzy-based computational system named FUZZ-CCS is designed for controlling congestion in the vehicular network. Initially, the paper considers a fundamental element of the vehicular network, namely that each CAM generated by a vehicle is associated with a unique ID. Using this property, every vehicle weighs the random backoff number chosen by them in the back-off process, with the vehicle ID incorporated in their respective CAMs, eventually leading to the selection of a distinctive random back-off number. The vehicle ID based Markov model is validated through MATLAB. Further, in tier-2, collision probability (obtained from the proposed analytical model) and vehicular density are considered as input for designing the FUZZ-CCS. CAM broadcast rate is considered as the adapting parameter for controlling congestion throughout the network. Obtained simulation results show that the proposed FUZZ-CCS outperforms the fixed CAM rate IEEE 802.11p in terms of collision probability.
Keywords: FUZZ-CCS, congestion control, vehicle-ID, random back-off number, contention window, collision probability
DOI: 10.3233/JHS-190608
Journal: Journal of High Speed Networks, vol. 25, no. 2, pp. 139-153, 2019
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