Multi-Layer Cross Domain Reasoning over Distributed Autonomous IoT Applications - Mines Saint-Étienne Access content directly
Journal Articles Open Journal of Internet of Things Year : 2017

Multi-Layer Cross Domain Reasoning over Distributed Autonomous IoT Applications

Muhammad Intizar
  • Function : Author
  • PersonId : 1023448
Pankesh Patel
  • Function : Author
  • PersonId : 926845
Soumiya Kanti Datta
  • Function : Author


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.
Fichier principal
Vignette du fichier
OJIOT_2017v3i1n07_Ali.pdf (1.67 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive

Dates and versions

emse-01644333 , version 1 (22-11-2017)


  • HAL Id : emse-01644333 , version 1


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, 2017, 3. ⟨emse-01644333⟩
330 View
247 Download


Gmail Facebook X LinkedIn More