An Energy Efficient Message Dissemination Scheme in Platoon-Based Driving Systems

Taeyoon Kim, Taewon Song and Sangheon Pack
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Taeyoon Kim: Department of Smart-car, Soonchunhyang University, 22 Soonchunhyang-ro, Shinchang-myeon, Asan-si, Chungcheongnam-do 31538, Korea
Taewon Song: IoT Connectivity Standard Team, LG Electronics, 19, Yangjae-daero 11-gil, Seocho-gu, Seoul 06772, Korea
Sangheon Pack: The School of Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea

Energies, 2020, vol. 13, issue 15, 1-23

Abstract: With the development of the convergence of IT and automotive technology, platoon-based driving systems are getting more attention and how to disseminate messages in the platoon is an important issue. In this paper, to enhance the energy efficiency and traffic throughput (e.g., average velocity) while meeting transmission deadlines, we propose an energy efficient message dissemination scheme (EMDS) in platoon-based driving systems, which also provides proper power control and relay selection. To find out the optimal policy to balance the probability of successful message dissemination and transmission power cost in EMDS, we formulate a Markov decision process (MDP) problem that considers the velocity of the vehicles in the platoon. To evaluate the performance of EMDS, we analyze the outage probability, the average velocity, and the expected power consumption using the discrete-time Markov chain (DTMC) model. Evaluation results demonstrate EMDS with the optimal policy improves the average velocity and the energy efficiency of message dissemination compared with the conventional message dissemination schemes, while reducing the message dissemination failure rate.

Keywords: autonomous driving; connected car; energy efficiency; Markov chain; Markov decision process; message dissemination; platoon-based driving; vehicular network (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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