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Beacon-Less Autonomous Transmission Control Method for Spatio-Temporal Data Retention

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2020)

Abstract

With the development and spread of Internet of Things (IoT) technology, the number of devices connected to the Internet is increasing, and various kinds of data are now being generated from IoT devices. Some data generated from IoT devices depends on geographical location and time. We refer to such data as spatio-temporal data (STD). Since the “local production and consumption” of STD is effective for location-dependent applications, we have proposed a STD retention system using vehicles equipped with storage modules, computing resources, and short-range wireless communication equipment. In this previous system, each vehicle controls the data transmission probability based on the neighboring vehicle density in order to achieve effective data retention. However, since the overhead of beacon messages required for estimation of the neighboring vehicle density becomes a critical problem with the increase in the number of vehicles, thereby preventing the effective data retention. In this paper, we propose a new data transmission control method to realize effective and reliable STD retention without beacon. Simulation results showed that our proposed scheme can achieve effective data retention.

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Acknowledgements

This work supported in part by JSPS KAKENHI Grant Number 18H03234, NICT Grant Number 19304, and NSF award number 1818884 (JUNO2), 1827923 (COSMOS).

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Correspondence to Ichiro Goto .

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Goto, I., Nobayashi, D., Tsukamoto, K., Ikenaga, T., Lee, M. (2021). Beacon-Less Autonomous Transmission Control Method for Spatio-Temporal Data Retention. In: Barolli, L., Li, K., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2020. Advances in Intelligent Systems and Computing, vol 1263. Springer, Cham. https://doi.org/10.1007/978-3-030-57796-4_48

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