Performance Evaluation of the Efficient Diffusion Method for Spatio-temporal Data Retention System using Crowds of Vehicles

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  • 移動車両群を用いた効率的な時空間データ拡散手法に関する検証

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Abstract

With the development and the diffusion of Internet of Things (IoT) technologies, various types of data are generated for IoT applications anywhere and anytime. We defined IoT device data that depends heavily on generation time and location as spatio-temporal data (STD). In the previous works, we have proposed a spatio-temporal data retention system using vehicles, aiming to construct a new network that keeps STD in a specific period and area. In this system, the STD retention is divided into three phases: “diffusion,” “retention,” and “elimination.” In this paper, we propose a method to determine the data transmission interval focusing on the diffusion phase. Furthermore, we confirm the effectiveness of the proposed diffusion method in an environment where vehicles randomly select their route by the simulation experiments. Finally, we show the results of emulation verification on StarBED owned by NICT in order to verify the practicality of the spatio-temporal data retention system.

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