Next Article in Journal
High Level 3D Structure Extraction from a Single Image Using a CNN-Based Approach
Next Article in Special Issue
ICE-MoCha: Intelligent Crowd Engineering using Mobility Characterization and Analytics
Previous Article in Journal
Energy-Efficient Fuzzy-Logic-Based Clustering Technique for Hierarchical Routing Protocols in Wireless Sensor Networks
Previous Article in Special Issue
Multi-Type Sensor Placements in Gaussian Spatial Fields for Environmental Monitoring
Article Menu
Issue 3 (February-1) cover image

Export Article

Open AccessArticle

Towards Establishing Cross-Platform Interoperability for Sensors in Smart Cities

Chair of Geoinformatics, Technical University of Munich, Arcisstrasse 21, 80333 Munich, Germany
Author to whom correspondence should be addressed.
Sensors 2019, 19(3), 562;
Received: 28 November 2018 / Revised: 10 January 2019 / Accepted: 24 January 2019 / Published: 29 January 2019
(This article belongs to the Special Issue Selected Papers from ISC2 2018)
PDF [4780 KB, uploaded 2 February 2019]
  |     |  


Typically, smart city projects involve complex distributed systems having multiple stakeholders and diverse applications. These applications involve a multitude of sensor and IoT platforms for managing different types of timeseries observations. In many scenarios, timeseries data is the result of specific simulations and is stored in databases and even simple files. To make well-informed decisions, it is essential to have a proper data integration strategy, which must allow working with heterogeneous data sources and platforms in interoperable ways. In this paper, we present a new lightweight web service called InterSensor Service allowing to simply connect to multiple IoT platforms, simulation specific data, databases, and simple files and retrieving their observations without worrying about data storage and the multitude of different APIs. The service encodes these observations “on-the-fly” according to the standardized external interfaces such as the OGC Sensor Observation Service and OGC SensorThings API. In this way, the heterogeneous observations can be analyzed and visualized in a unified way. The service can be deployed not only by the users to connect to different sources but also by providers and stakeholders to simply add further interfaces to their platforms realizing interoperability according to international standards. We have developed a Java-based implementation of the InterSensor Service, which is being offered free as open source software. The service is already being used in smart city projects and one application for the district Queen Elizabeth Olympic Park in London is shown in this paper. View Full-Text
Keywords: smart cities; sensors; Internet of Things; interoperability; sensor web enablement; OGC standards smart cities; sensors; Internet of Things; interoperability; sensor web enablement; OGC standards

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Chaturvedi, K.; Kolbe, T.H. Towards Establishing Cross-Platform Interoperability for Sensors in Smart Cities. Sensors 2019, 19, 562.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top