Abstract
Cross-domain data fusion is becoming a key driver to growth of the numerous and diverse applications in IoT era. Nevertheless, IoT data obtained by individual devices are blindly transmitted to cloud servers. We here focus on that the IoT data which are suitable for cross-domain data fusion, tend to be generated in the proximity, and thus propose a Geo-Centric Information Platform (GCIP) for the management of Spatio-Temporal Contents (STCs) generated through the cross-domain data fusion. GCIP enables to keep STCs near the users (at an edge server). In this paper, we practically examine the fundamental functions of the GCIP from two aspects: (1) Geo-location aware data collection and (2) Publish/Subscribe-based STC production. Furthermore, we implement a proof-of-concepts (PoC) of GCIP and conduct experiments on a real IPv6 network built on our campus network. In this experiment, we showed that multiple types of IoT data generated in the proximity can be collected on the edge server and then a STC can be produced by exploiting the collected IoT data. Moreover, we demonstrated that the Publish/Subscribe model has a potential to be effective for STC management.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The mesh code is basically followed by the NTT Docomo open-i area [6].
References
Bryce, R., Srivastava, G.: The addition of geolocation to sensor networks. In: 13th International Conference on Software Technologies, pp. 762–768 (2018)
Yasumoto, K., Yamaguchi, H., Shigeno, H.: Survey of real-time processing technologies of IoT data streams. J. Inf. Process. 24(2), 195–202 (2016)
Gonzales, E., Ong, B.T., Zettsu, K.: Searching inter-disciplinary scientific big data based on latent correlation analysis. In: Proceedings of Workshop on Big Data and Society (in Conjunction with IEEE BigData 2013), pp. 9–12, October 2013
Pattar, S., Buyya, R., Venugopal, K.R., Iyengar, S.S., Patnaik, L.M.: Searching for the IoT resources: fundamentals, requirements, comprehensive review, and future directions. IEEE Commun. Surv. Tutor. 20, 2101–2132 (2018)
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., Ayyash, M.: Internet of Things: a survey on enabling technologies, protocols and applications. IEEE Commun. Surv. Tutor. 17(4), 2347–2376 (2015)
NTT docomo: Open iArea guideline. https://www.nttdocomo.co.jp/binary/pdf/service/developer/make/content/iarea/domestic/open-iarea.pdf. (in Japanese)
Tamura, H.: Program for determining IP address on the basis of positional information, device and method. JP Patent 6074829, 20 January 2017
Apache Kafka. https://kafka.apache.org/
Talukdar, Md.S.J., Hossen, Md.S., Baten, A.: Trends of outdoor thermal discomfort in Mymensingh: an application of Thoms’ discomfort index. J. Environ. Sci. Nat. Resour. 10(2), 151–156 (2018)
Acknowledgements
This work was supported by JSPS KAKENHI Grant Number JP18H03234 and the Commissioned Research of National Institute of Information and Communications Technology NICT).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Nagashima, K., Taenaka, Y., Nagata, A., Nakamura, K., Tamura, H., Tsukamoto, K. (2020). Experimental Evaluation of Publish/Subscribe-Based Spatio-Temporal Contents Management on Geo-Centric Information Platform. In: Barolli, L., Nishino, H., Enokido, T., Takizawa, M. (eds) Advances in Networked-based Information Systems. NBiS - 2019 2019. Advances in Intelligent Systems and Computing, vol 1036. Springer, Cham. https://doi.org/10.1007/978-3-030-29029-0_37
Download citation
DOI: https://doi.org/10.1007/978-3-030-29029-0_37
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-29028-3
Online ISBN: 978-3-030-29029-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)