FIRE/STREP Project HOBNET (HOlistic Platform Design for Smart Buildings

1. FIRE/STREP Project HOBNET (HOlistic Platform Design for Smart Buildings of the Future InterNET - www.hobnet-project.eu) “Challenges and Methodologies Towards Federated EU-Japan IoT Test-beds” Prof. Sotiris Nikoletseas U. of Patras and CTI Greece (EU-Japan Workshop, Brussels, April 18, 2013)

2. Overview • WSN Test-beds and the HOBNET Project • IoT Test-beds: Main Challenges - standardization - interoperability - security/trust C. Potential Methodological Approaches - architectural designs - cloudification - virtualization - crowdsourcing D. Potential themes for EU-Japan Cooperation

3. A. HOBNET Main Objectives an all IPv6/6LoWPAN infrastructure of buildings and how IPv6 can integrate heterogeneous technology (sensors, actuators, mobile devices etc) 6lowApp standardization towards a new embedded application protocol for building automation c) novel algorithmic models and scalable solutions for energy efficiency and radiation-awareness, data dissemination, localization and mobility d) rapid development and integration of building management applications, and theirdeployment and monitoring on FIRE test beds

4. HOBNET Partners/Approach - 4 academic groups (U. of Patras/CTI, U. of Geneva, U. Edinburgh, U. College Dublin) - 2 industries (Ericsson, Sensinode) - 1 end-user (Mandat International) - Methodological Approach: We take a holistic approachaddressing critical aspects at different layers (networks, algorithms, applications/tools) in an integrated way.

5. Implemented smart/green scenarios • Local adaptation to presence • Emergency management • Electric device monitoring • CO2 monitoring • Maintenance control • Customization • Building 3D visualization & monitoring • Mobile phone ID • User awareness • Oil tank monitoring • Garden watering • Resources tracking and monitoring

6. The MI HOBNET test-bed

7. The UNIGE HOBNET test-bed

8. The CTI HOBNET test-bed

9. Main concrete results/Exploitation • 35% reduction of energy consumption • Ability to select the energy saving/comfort trade-off • Exploitation: - rich standardization activities (IETF, ETSI M2M and One M2M) - deployments in highschools - major strawberry plantation (smart watering) - major brewery factory (Heineken group) - a spin-off created (OptSense)

10. B. Challenges for IoT Testbeds A. Standardization • Revisiting fundamental issues in Low Power & Lossy Networks e.g. IPv4 -> 6LoWPAN/IPv6, HTTP-> CoAP, etc B. Interoperability • IoTrequires that they seamlessly and directly communicate with each other and the Internet (e.g. M2M communication) C. Trust (not just Security) • Especially towards active end users involvement • Value of personal data, anonymity, privacy, identity management, open data, reputation mechanisms

11. Challenges for IoT Testbeds (II) D. Mobile test-beds, easy of deployment, “plug and play” nature • To exploit FIRE test-beds outside academic environments E. Multidisciplinarity • Economists (market analysis, business models, incentives mechanisms, ) • Sociologists (analyze driver and barriers to technology adoption, models for societal value creation)

12. C. Potential Methods - Architectures • RESTful Architectural Style – Compatibility, seamless interconnection with the Internet • Embedded systems (e.g. WSN) are abstracted as web-resources(Constrained Application Protocol, easy to proxy from/to HTTP, every resource is identified by a URI) + 6LoWPAN (IPv6 over Low-Power Wireless Area Networks) • Embedded functionalities are represented as web services A HOBNET Example • BMS for smart/green buildings • Sensors and actuators represented as resources in Resource Directory • External (non-technical) users may compose their custom use-case scenarios by combining resources in logical expressions

13. Methods -Virtualization • Virtual layers enable bi-directional interactions from IoT nodes to applications and vice-versa • Virtual layers are used to expose functional aspects and information on IoT nodes as services • They allow to organize diverse sub-networks in a homogeneous way A Suggested Approach • Organize several IoT networks under a virtual network • End users are offered a unique interface of interaction • A meta-layer provides access via an open interface, regardless of how these resources are provisioned (e.g. fixedor mobile test-beds, physical or virtual resources)

14. Methods - Cloudification • Enables large scale integration - scalability • Provides network functionalities “as a Service” (e.g. Testbed as a Service) • Merges IoT with other emerging paradigms of the Future Internet (e.g. Semantic Web, Cloud Computing, etc) A Suggested Approach • A taxonomy of test-beds. For each class, we define cloudification prerequisites • Goal: individual test-beds to be organized in a meta-testbed platform • A single application layer accessing and managing resources from all test-beds (access rights, reputation and trust mechanisms)

15. D. Potential themes for EU-Japan Collaboration Themes: • Sensor Networks • IoT • Distributed Robotics • Social Networking Application context: • Green/smart buildings • Smart Cities • Smart e-Health • Smart Grid