PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
June 1, 2015289 citations

Semantic Gateway as a Service Architecture for IoT Interoperability

View Full Paper
PDPratikkumar DesaiASAmit ShethPAPramod Anantharam

Key Points

  • This research aims to develop a scalable architecture for IoT connectivity, enhancing interoperability across proprietary systems.
  • Proposed a gateway architecture utilizing Semantic Web technologies for IoT interfacing.
  • Implemented a multi-protocol proxy enabling translation between various messaging protocols like XMPP, CoAP, and MQTT.
  • Employed W3Cs Semantic Sensor Network ontology for semantic annotations of sensor data.
  • Achieved improved interoperability and data communication across IoT systems.
  • Facilitated semantic reasoning for enhanced actionable insights from low-level sensor data.

Abstract

The Internet of Things (IoT) is set to occupy a substantial component of future Internet. The IoT connects sensors and devices that record physical observations to applications and services of the Internet1. As a successor to technologies such as RFID and Wireless Sensor Networks (WSN), the IoT has stumbled into vertical silos of proprietary systems, providing little or no interoperability with similar systems. As the IoT represents future state of the Internet, an intelligent and scalable architecture is required to provide connectivity between these silos, enabling discovery of physical sensors and interpretation of messages between the things. This paper proposes a gateway and Semantic Web enabled IoT architecture to provide interoperability between systems, which utilizes established communication and data standards. The Semantic Gateway as Service (SGS) allows translation between messaging protocols such as XMPP, CoAP and MQTT via a multi-protocol proxy architecture. Utilization of broadly accepted specifications such as W3Cs Semantic Sensor Network (SSN) ontology for semantic annotations of sensor data provide semantic interoperability between messages and support semantic reasoning to obtain higher-level actionable knowledge from low-level sensor data.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Desai et al. (2015) studied this question.

synapsesocial.com/papers/69d841618c03fbaff8bee78ehttps://doi.org/10.1109/mobserv.2015.51
Ask AI
Helpful
Bookmark
Share
View Full Paper