SOXFire: A Universal Sensor Network System for Sharing Social Big Sensor Data in Smart Cities

Takuro Yonezawa, Tomotaka Ito, Jin Nakazawa, Hideyuki Tokuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

We introduce SOXFire, a multi-community city-wide sensor network for sharing social big sensor data in smart cities. The goal of SOXFire is to provide practical distributed and federated infrastructure for IoT sensor data sharing among various users/organizations in a way that is scalable, exten- sible, easy to use and secure with preserving privacy. SOX- Fire supports not only access to physical IoT sensors but also crowd sensing and SNS/Web sensing where city employees, citizen and WEB developers contributed in a different ways but unified APIs. In this paper, we outline the concept of SOXFire and present it's design and implementation with tangible libraries and tools. In addition, we discuss capability and usability of SOXFire based on our experiments in smart city project in Japan.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Workshop on Smart, SmartCities 2016
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450346672
DOIs
Publication statusPublished - 2016 Dec 12
Event2nd International Workshop on Smart Cities - People, Technology and Data, IWSC 2016 - Trento, Italy
Duration: 2016 Dec 122016 Dec 16

Other

Other2nd International Workshop on Smart Cities - People, Technology and Data, IWSC 2016
CountryItaly
CityTrento
Period16/12/1216/12/16

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Keywords

  • Architecture
  • IoT
  • Requirements
  • Smart City

ASJC Scopus subject areas

  • Information Systems
  • Civil and Structural Engineering
  • Building and Construction
  • Computer Networks and Communications

Cite this

Yonezawa, T., Ito, T., Nakazawa, J., & Tokuda, H. (2016). SOXFire: A Universal Sensor Network System for Sharing Social Big Sensor Data in Smart Cities. In Proceedings of the 2nd International Workshop on Smart, SmartCities 2016 [a2] Association for Computing Machinery, Inc. https://doi.org/10.1145/3009912.3009922