An IoT-DaaS Approach for the Interoperability of Heterogeneous Sensor Data Sources

Author(s)

Barros, Vinicius A. ; Estrella, Julio C. ; Prates, Leonardo B. ; Bruschi, Sarita M. ; ASSOC COMP MACHINERY

• Document type: Journal article
• Source: MSWIM'18: PROCEEDINGS OF THE 21ST ACM INTERNATIONAL CONFERENCE ON MODELING, ANALYSIS AND SIMULATION OF WIRELESS AND MOBILE SYSTEMS; v. N/A, p. 5-pg., 2018-01-01.

Abstract

The Internet of Things (IoT) consists of network connections among devices for the development of predefined activities. A difficulty in IoT is the integration among services, which hinders interoperability and is related to the creation of a procedure that collects, stores and processes data from different sources and formats. This paper introduces an approach for the storage and retrieval of multiple sensor data sources that provides a RESTful API for the management of multiple database types and data formats. The evaluation scenario consists of the integration of the procedure with a data source containing information on the climate of worldwide cities. Data were imported through a process that enables their storage in PostgreSQL and MongoDB exposing an API that supports JSON and XML data format. The performance evaluation methodology includes a workload test and an influence factor analysis. The results show a comparison of different strategies for data conversion and storage and better performance of PostgreSQL and JSON in comparison to MongoDB and XML. (AU)

• FAPESP's process: 11/09524-7 - Development and evaluation of new computer technics to enable the provision of quality of service in SOA architectures
• Grantee: Júlio Cézar Estrella
• Support Opportunities: Regular Research Grants
• FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
• Grantee: Francisco Louzada Neto
• Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC