Dynamic Ontology-Based Sensor Binding

In recent years, the Internet of Things gains more and more attention through cheap hardware devices and, consequently, an increased interconnection of them. These devices equipped with sensors and actuators form the foundation for so called smart environments that enable monitoring as well as self-organization. However, an efficient sensor registration, binding, and sensor data provisioning is still a major issue for the Internet of Things. Usually, these steps can take up to days or even weeks due to a manual configuration and binding by sensor experts that furthermore have to communicate with domain-experts that define the requirements, e.g. the types of sensors, for the smart environments. In previous work, we introduced a first vision of a method for automated sensor registration, binding, and sensor data provisioning. In this paper, we further detai l and extend this vision, e.g., by introducing optimization steps to enhance efficiency as well as effectiveness. Furthermore, the approach is evaluated through a prototypical implementation.

[1]  Oliver Kopp,et al.  TOSCA: Portable Automated Deployment and Management of Cloud Applications , 2014, Advanced Web Services.

[2]  Levent Gürgen,et al.  SStreaMWare: a service oriented middleware for heterogeneous sensor data management , 2008, ICPS '08.

[3]  Simon Scerri,et al.  DCON: Interoperable Context Representation for Pervasive Environments , 2012, AAAI 2012.

[4]  Karl Aberer,et al.  Middleware support for the "Internet of Things" , 2006 .

[5]  Bernhard Mitschang,et al.  MaXCept -- Decision Support in Exception Handling through Unstructured Data Integration in the Production Context: An Integral Part of the Smart Factory , 2015, 2015 48th Hawaii International Conference on System Sciences.

[6]  Schahram Dustdar,et al.  A Scalable Framework for Provisioning Large-Scale IoT Deployments , 2016, ACM Trans. Internet Techn..

[7]  Karl Aberer,et al.  Zero-programming Sensor Network Deployment , 2007 .

[8]  Ingrid Moerman,et al.  Facilitating Sensor Deployment, Discovery and Resource Access Using Embedded Web Services , 2012, 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.

[9]  N. Jazdi,et al.  Cyber physical systems in the context of Industry 4.0 , 2014, 2014 IEEE International Conference on Automation, Quality and Testing, Robotics.

[10]  Kang Lee IEEE 1451: A standard in support of smart transducer networking , 2000, Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference [Cat. No. 00CH37066].

[11]  Oliver Kopp,et al.  Quality of data driven simulation workflows , 2012, 2012 IEEE 8th International Conference on E-Science.

[12]  Prem Prakash Jayaraman,et al.  OpenIoT: Open Source Internet-of-Things in the Cloud , 2014, OpenIoT@SoftCOM.

[13]  Bernhard Mitschang,et al.  Automated Sensor Registration, Binding and Sensor Data Provisioning , 2016, CAiSE Forum.

[14]  Karl Aberer,et al.  Invited Talk: Zero-Programming Sensor Network Deployment , 2007, 2007 International Symposium on Applications and the Internet Workshops.

[15]  Cartik R. Kothari,et al.  Building a Sensor Ontology: A Practical Approach Leveraging ISO and OGC Models , 2005, IC-AI.

[16]  Peter Friess,et al.  Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems , 2013 .

[17]  Schahram Dustdar,et al.  Towards Automated IoT Application Deployment by a Cloud-Based Approach , 2013, 2013 IEEE 6th International Conference on Service-Oriented Computing and Applications.