Abstract
With the development and the spread of Internet of Things (IoT) technologies, various types of data are generated for IoT applications anywhere and anytime. We defined such data that depends heavily on generation time and location as Spatio-Temporal Data (STD). In the previous works, we have proposed the data retention system using vehicular networks to achieve the paradigm of “local production and consumption of STD.” The system can provide STDs quickly for users within a specific location by retaining the STD within the area. However, the system does not consider that each STD has different requirements for the data retention. In particular, the lifetime of the STD and the diffusion time to the whole area directly influence to the performance of data retention. Therefore, we propose a dynamic control of data transmission interval for the data retention system by considering the requirements. Through the simulation evaluation, we found that our proposed method can satisfy the requirements of STD and maintain a high coverage rate in the area.
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Acknowledgements
This work was partially supported by JSPS KAKENHI Grant Number 18H03234, NICT Grant Number 19304, and USA Grant number NSF 17-586.
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Yamasaki, S., Nobayashi, D., Tsukamoto, K., Ikenaga, T., Lee, M. (2020). On-Demand Transmission Interval Control Method for Spatio-Temporal Data Retention. In: Barolli, L., Nishino, H., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2019. Advances in Intelligent Systems and Computing, vol 1035. Springer, Cham. https://doi.org/10.1007/978-3-030-29035-1_31
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DOI: https://doi.org/10.1007/978-3-030-29035-1_31
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