Skip to Main content Skip to Navigation
Journal articles

Multi-Layer Cross Domain Reasoning over Distributed Autonomous IoT Applications

Abstract : Due to the rapid advancements in the sensor technologies and IoT, we are witnessing a rapid growth in the use of sensors and relevant IoT applications. A very large number of sensors and IoT devices are in place in our surroundings which keep sensing dynamic contextual information. A true potential of the widespread of IoT devices can only be realized by designing and deploying a large number of smart IoT applications which can provide insights on the data collected from IoT devices and support decision making by converting raw sensor data into actionable knowledge. However, the process of getting value from sensor data streams and converting these raw sensor values into actionable knowledge requires extensive efforts from IoT application developers and domain experts. In this paper, our main aim is to propose a multi-layer cross domain reasoning framework, which can support application developers, end-users and domain experts to automatically understand relevant events and extract actionable knowledge with minimal efforts. Our framework reduces the efforts required for IoT applications development (i) by supporting automated application code generation and access mechanisms using IoTSuite, (ii) by leveraging from Machine-to-Machine Measurement (M3) framework to exploit semantic technologies and domain knowledge, and (iii) by using automated sensor discovery and complex event processing of relevant events (ACEIS Middleware) at the multiple data processing layers and different stages of the IoT application development life cycle. In the essence, our framework supports the end-users and IoT application developers to design innovative IoT applications by reducing the programming efforts, by identifying relevant events and by suggesting potential actions based on complex event processing and reasoning for cross-domain IoT applications.
Document type :
Journal articles
Complete list of metadatas

Cited literature [31 references]  Display  Hide  Download

https://hal-emse.ccsd.cnrs.fr/emse-01644333
Contributor : Amelie Gyrard <>
Submitted on : Wednesday, November 22, 2017 - 10:31:45 AM
Last modification on : Tuesday, September 17, 2019 - 11:16:10 AM

File

OJIOT_2017v3i1n07_Ali.pdf
Publisher files allowed on an open archive

Identifiers

  • HAL Id : emse-01644333, version 1

Collections

Citation

Muhammad Intizar, Pankesh Patel, Soumiya Kanti Datta, Amelie Gyrard. Multi-Layer Cross Domain Reasoning over Distributed Autonomous IoT Applications. Open Journal of Internet of Things, RonPub UG, 2017, 3. ⟨emse-01644333⟩

Share

Metrics

Record views

229

Files downloads

181