Renewable energy powered road side units(RSUs) in Internet of Vehicles(IoVs) are a desirable green alternative choice compared to the traditional electric grid, because it not only extends the service range of IoVs but also saves the cost on energy. However, the energy on RSUs is limited and usually influenced by communication policies. Therefore, the communication scheduling policy on RSUs plays an important role on the persistence of network, which is still an open topic to be solved. In this paper, we focus on the communication scheduling problem on RSUs, and propose an LSTM-based communication scheduling algorithm for RSUs in IoVs. The scheduling algorithm is composed of three parts - deep learning clustering, LSTM-based traffic prediction, and a vehicle access scheduling algorithm. At last, we conduct an extensive simulation, and the simulation results indicate that our algorithm can achieve a better performance than the no scheduling mechanism.


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    Title :

    LSTM-Based Communication Scheduling Mechanism for Energy Harvesting RSUs in IoVs


    Contributors:
    Wang, Chao (author) / Li, Jitong (author) / Cheng, Xiaoman (author) / He, Yunhua (author) / Sun, Limin (author) / Xiao, Ke (author)


    Publication date :

    2020-11-01


    Size :

    1405143 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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