Cognitive management framework for Internet of Things: — A prototype implementation

In the domain of Internet of Things (IoT), applications are modeled to understand and react based on existing contextual and situational parameters. This work implements a management flow for the abstraction of real world objects and virtual composition of those objects to provide IoT services. We also present a real world knowledge model that aggregates constraints defining a situation, which is then used to detect and anticipate future potential situations. It is implemented based on reasoning and machine learning mechanisms. This work showcases a prototype implementation of the architectural framework in a smart home scenario, targeting two functionalities: actuation and automation based on the imposed constraints and thereby responding to situations and also adapting to the user preferences. It thus provides a productive integration of heterogeneous devices, IoT platforms, and cognitive technologies to improve the services provided to the user.

[1]  F. Mattern From Smart Devices to Smart Everyday Objects ∗ ( Extended Abstract ) , 2003 .

[2]  Norbert A. Streitz,et al.  Designing smart artifacts for smart environments , 2005, Computer.

[3]  Ron Weinstein,et al.  RFID: a technical overview and its application to the enterprise , 2005, IT Professional.

[4]  Luca Mottola,et al.  Building virtual sensors and actuators over logical neighborhoods , 2006, MidSens '06.

[5]  M.A. Uusitalo,et al.  Global Vision for the Future Wireless World from the WWRF , 2006, IEEE Vehicular Technology Magazine.

[6]  Karl Aberer,et al.  Infrastructure for Data Processing in Large-Scale Interconnected Sensor Networks , 2007, 2007 International Conference on Mobile Data Management.

[7]  Ian H. Witten,et al.  The WEKA data mining software: an update , 2009, SKDD.

[8]  Roberto Passerone,et al.  Combustible gases and early fire detection: an autonomous system for wireless sensor networks , 2010, e-Energy.

[9]  Vera Stavroulaki,et al.  Virtualization and Cognitive Management of Real World Objects in the Internet of Things , 2012, 2012 IEEE International Conference on Green Computing and Communications.

[10]  Roberto Passerone,et al.  Energy-Aware Gas Sensing Using Wireless Sensor Networks , 2012, EWSN.

[11]  Imrich Chlamtac,et al.  Internet of things: Vision, applications and research challenges , 2012, Ad Hoc Networks.

[12]  Klaus Moessner,et al.  Enabling smart cities through a cognitive management framework for the internet of things , 2013, IEEE Communications Magazine.

[13]  Klaus Moessner,et al.  A Cognitive Management Framework for Empowering the Internet of Things , 2013, Future Internet Assembly.

[14]  Roberto Passerone,et al.  Deployment and evaluation of a wireless sensor network for methane leak detection , 2013 .

[15]  Changsheng Xu,et al.  Mining Semantic Context Information for Intelligent Video Surveillance of Traffic Scenes , 2013, IEEE Transactions on Industrial Informatics.

[16]  Andrey Somov,et al.  Supporting smart-city mobility with cognitive Internet of Things , 2013, 2013 Future Network & Mobile Summit.

[17]  IEEE World Forum on Internet of Things, WF-IoT 2014, Seoul, South Korea, March 6-8, 2014 , 2014, World Forum on Internet of Things.