Communications and Networking. 11th EAI international Conference, ChinaCom 2016 Chongqing, China, September 24-26, 2016, Proceedings, Part II

Research Article

Hybrid Roadside Devices Placement for Advertisement Disseminations in Vehicular CPS

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  • @INPROCEEDINGS{10.1007/978-3-319-66628-0_46,
        author={Junshan Cui and Peng Li and Dongdong Yue and Yu Jin and Yu Liu and Qin Liu},
        title={Hybrid Roadside Devices Placement for Advertisement Disseminations in Vehicular CPS},
        proceedings={Communications and Networking. 11th EAI international Conference, ChinaCom 2016 Chongqing, China, September 24-26, 2016, Proceedings, Part II},
        proceedings_a={CHINACOM},
        year={2017},
        month={10},
        keywords={Vehicular Cyber-Physical Systems Roadside device placement Advertisement dissemination},
        doi={10.1007/978-3-319-66628-0_46}
    }
    
  • Junshan Cui
    Peng Li
    Dongdong Yue
    Yu Jin
    Yu Liu
    Qin Liu
    Year: 2017
    Hybrid Roadside Devices Placement for Advertisement Disseminations in Vehicular CPS
    CHINACOM
    Springer
    DOI: 10.1007/978-3-319-66628-0_46
Junshan Cui, Peng Li,*, Dongdong Yue, Yu Jin, Yu Liu, Qin Liu1
  • 1: Wuhan University
*Contact email: lipeng@wust.edu.cn

Abstract

There are two types of roadside devices for advertisement dissemination in the Vehicular Cyber-Physical Systems (VCPS), one is roadside units (RSUs) and the other is roadside access points (RAPs). The placement cost of RSUs is lower than RAPs. However, the coverage of RSUs is limited. In this paper, we investigate the hybrid roadside device placement problem in the Vehicular Cyber-Physical Systems (VCPS). Given the budget constraint and the distribution of traffic conditions, our goal is to optimize the deployment of the hybrid roadside device for the merchants to maximize their benefits from advertisement dissemination. With the purpose of all advertisement can be effectively served, we propose a corresponding hybrid greedy placement algorithm. Our algorithm not only obtains the more benefits, but also consider the placement cost. Finally, we evaluate the performance of our proposed algorithm. Extensive simulations show that the performance of our proposed algorithm is superior to the other algorithms.