Integration of WSNs into enterprise systems based on semantic physical business entities

Internet of Things based systems are anticipated to gain widespread use in industrial applications. Standardization efforts, like 6L0WPAN and the Constrained Application Protocol (CoAP) have made the integration of wireless sensor nodes possible using Internet technology and web-like access to data (RESTful service access). While there are still some open issues, the interoperability problem in the lower layers can now be considered solved from an enterprise software vendors' point of view. One possible next step towards integration of real-world objects into enterprise systems and solving the corresponding interoperability problems at higher levels is to use semantic web technologies. We introduce an abstraction of real-world objects, called Semantic Physical Business Entities (SPBE), using Linked Data principles. We show that this abstraction nicely fits into enterprise systems, as SPBEs allow a business object centric view on real-world objects, instead of a pure device centric view. The interdependencies between how currently services in an enterprise system are used and how this can be done in a semantic real-world aware enterprise system are outlined, arguing for the need of semantic services and semantic knowledge repositories. We introduce a lightweight query language, which we use to perform a quantitative analysis of our approach to demonstrate its feasibility.

[1]  Yvonne Anne Pignolet,et al.  Energy-efficiency through micro-managing communication and optimizing sleep , 2011, 2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[2]  A. Zahariev Google App Engine , 2009 .

[3]  Markus Anwander,et al.  SNOMC: An overlay multicast protocol for Wireless Sensor Networks , 2012, 2012 9th Annual Conference on Wireless On-Demand Network Systems and Services (WONS).

[4]  Carsten Bormann,et al.  6LoWPAN: The Wireless Embedded Internet , 2009 .

[5]  Richard Han,et al.  TSync: a lightweight bidirectional time synchronization service for wireless sensor networks , 2004, MOCO.

[6]  Alexander Kröller,et al.  Annotating Real-World Objects Using Semantic Entities , 2013, EWSN.

[7]  Shisheng Shang,et al.  Distributed Hardwired Barrier Synchronization for Scalable Multiprocessor Clusters , 1995, IEEE Trans. Parallel Distributed Syst..

[8]  M. Baentsch,et al.  Mote Runner: A Multi-language Virtual Machine for Small Embedded Devices , 2009, 2009 Third International Conference on Sensor Technologies and Applications.

[9]  Jie Liu,et al.  Greedy is Good: On Service Tree Placement for In-Network Stream Processing , 2006, 26th IEEE International Conference on Distributed Computing Systems (ICDCS'06).

[10]  Carsten Bormann,et al.  The Constrained Application Protocol (CoAP) , 2014, RFC.

[11]  Michael A. Bender,et al.  The LCA Problem Revisited , 2000, LATIN.

[12]  Wenqiang Wang,et al.  A Service Oriented Model for Semantics-Based Data Management in Wireless Sensor Networks , 2009, 2009 International Conference on Advanced Information Networking and Applications Workshops.

[13]  Eugene Ciurana,et al.  Google App Engine , 2009 .

[14]  Sonja Meyer,et al.  Introducing Entity-Based Concepts to Business Process Modeling , 2011, BPMN.

[15]  Sonja Meyer,et al.  On IoT-services: Survey, Classification and Enterprise Integration , 2012, 2012 IEEE International Conference on Green Computing and Communications.

[16]  Wei Hong,et al.  TinyDB: an acquisitional query processing system for sensor networks , 2005, TODS.

[17]  Carlos Pedrinaci,et al.  Open semantic service networks , 2012 .