
Research Article
Design and Demonstration of a Standardized Container Structure for Sensor Data Distribution
@INPROCEEDINGS{10.1007/978-3-032-38657-1_37, author={Takumi Seike and Masato Yoshimi and Takahiro Ito and Hirokazu Tanaka}, title={Design and Demonstration of a Standardized Container Structure for Sensor Data Distribution}, proceedings={Body Area Networks. 20th EAI International Conference, BodyNets 2025, Okayama, Japan, December 2--4, 2025, Proceedings}, proceedings_a={BODYNETS}, year={2026}, month={10}, keywords={Sensor data Data interoperability Information reconstruction IEC 63430 Data format IoT standardization}, doi={10.1007/978-3-032-38657-1_37} }- Takumi Seike
Masato Yoshimi
Takahiro Ito
Hirokazu Tanaka
Year: 2026
Design and Demonstration of a Standardized Container Structure for Sensor Data Distribution
BODYNETS
Springer
DOI: 10.1007/978-3-032-38657-1_37
Abstract
The sharing and utilization of data obtained from diverse sensors are becoming increasingly important as foundational technologies supporting next-generation systems such as wearable devices and the metaverse. However, many existing data distribution methods rely on proprietary implementations and implicit assumptions, posing challenges in terms of reproducibility, sustainable operation, and flexible interoperability across heterogeneous systems. To ensure interoperability in the distribution of data with varying formats and types, standardized data formats are essential. This study proposes a framework in which the structure and semantics of information are separated from the raw data by decoupling the data body from its formalization method. We materialized this concept into a concrete data structure. The result has been reflected in IEC 63430, an international standard aiming to enhance data distribution, and is expected to serve as an interface for future data exchange. This paper details the design principles and structural features of the proposed format, presents the results of a prototype implementation, and discusses future perspectives.

