ES Research at the Electrical Engineering School

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1 ES Research at the Electrical Engineering School Carlo Fischione Associate Professor of Sensor Networks

2 Societal Challenges Intelligent Transportation Smart Buildings Personalized Media Information and Communication Technology Urban Planning Health & Wellbeing Smart Grid Process Industry 2

3 Outline EES-ACCESS Research Vision Research Projects Education External Collaborations

4 Electrical Engineering School and ACCESS Center Most of the Embedded System research of the Electrical Engineering School is conducted within the ACCESS Linnaeus Center [ACCESS] is the largest and leading research center in its field in Europe, being able to generate world-class research and being highly attractive for international recruitments and exchanges. MID-TERM EVALUATION REPORT 2012

5 ACCESS Linnaeus Center ACCESS was established from a VR grant in 2006 Developed into one of Europe s largest university research centers in networked systems - 36 faculty, 20 postdocs, 100 PhD students - Basic funding from VR on 1.4 MEUR per year (+10%) - Total research budget 2010 over 12 MEUR Significant scientific results and new programs Graduate school with >40 graduated PhD s Faculty renewal and mobility programs Extensive international and industrial collaborations External communication and dissemination 5

6 Outline EES-ACCESS Research Vision Research Projects Education External Collaborations

7 Embedded Networked Systems Mobile access devices Cyber infrastructure Ubiquitous physical interactions 7

8 Scientific Research Problems Which are the fundamental principles and tools for the design of future networked systems? 8

9 Embedded Systems Research Areas in EE Information Theory Networked Control Networking Optimization Privacy and Security Signal Processing System Identification Robotics Wireless Sensor Networks

10 Some Fundamental Research Areas Let us see in some detail three representative areas for Embedded Systems in the list above 1. Optimization over networks 2. Wireless Networked Control 3. Wireless Sensor Networks

11 Optimization over Networks In-network optimization today - Parallel and distributed computation, fundamental theory for in-network optimization - E.g., networks of embedded processors, cross layer networking, distributed detection, estimation,... Problems: - Need of fast solver algorithms of low complexity - Fast changing networks, little time to compute solution - Security concerns Research vision: - Distributed computations of low communication cost - Privacy and security in the computations

12 Wireless Network Control Control technology today: - Distributed control systems, geographically collocated - Cabling increased cost, hassle Technology vision - Replace cables with wireless communication - Improved cost, flexibility, performance Many research challenges - Reliability, methodology - Life-time, simplicity of operation,

13 Wireless Sensor Networks (WSNs) Wireless sensor networks (WSNs) make Internet of Things possible Computing, transmitting and receiving embedded nodes, wirelessly networked together for communication, control, sensing and actuation purposes Characteristics of WSNs Ø Battery-operated nodes Ø Limited wireless communication Ø Mobility of nodes Ø No/limited central manager Typical power consumption of a node

14 WSNs Interdisciplinary Nature Networking Wireless P C WSNs Systems and Control The vision: a unified approach to the design of WSNs systems

15 Outline EES-ACCESS Research Vision Research Projects Education External Collaborations

16 Research Project Many projects sponsored by - VR - Vinnova - SSF - FP7 - EIT -

17 FP7 STREP Hydrobionets Autonomous control of Large scale water treatment plants based on bio-sensor and networks Pollution estimated by sensors in the water pipes

18 FP7 Network of Excellence Hycon2 Highly-complex and networked control systems Control of complex, large-scale, and networked dynamical systems Domains of ground and aerospace transportation, electrical power networks, process industries, and biological and medical systems

19 WSNs in Industrial Automation Process Controller Added flexibility Ø Sensor and actuator nodes can be placed more appropriately Ø Less restrictive maneuvers and control actions Ø More powerful control through distributed computations Reduced installation and maintenance costs Ø Less cabling Ø More efficient monitoring and diagnosis

20 Indoor Localization

21 Indoor Localization by camera WSNs WSN allows to perform distributed camera calibration, positioning and tracking Application: massive graphic effects in film production

22 EIT Car2X Vehicles ITS-G5 comm. Positioning Vehicle data access Vehicle Applications UMTS connectivity Infrastructure ITS-G5 comm. C2I applications The nodes generate, store and exchange information about safety critical events Ethernet connectivity Roadside sensors

23 EIT Smart Energy Systems Micro-grid Smart House EC Distributed Generation (VPP) Distribution Center Micro-grid Communication Network Building EMS Building Communication Network Smart Devices

24 Smart buildings WSNs for controlling temperature, light, air and humidity, doors, alarms

25 Smart Cities, the Royal Seaport By 2020, one of the most technological urban districts in the world Thousands of Smart Buildings will be built

26 Outline EES-ACCESS Research vision Research projects Education External Collaborations

27 Education The EE School offers many courses at the master level and PhD level of interest for Embedded Systems Let us see two representative courses both at the Master and PhD level - EL2450 Hybrid and Embedded Control Systems - EL2745 Principles of Wireless Sensor Networks

28 Master Program in Systems Control and Robotics The KTH master program on SCR, Networked Control Track is of strong relevance for Embedded Systems

29 EL2750 Hybrid and Embedded Control Systems Participants should gain insight into computer implementation of control algorithms, and realize the need to integrate control and computer engineering in the design of networked embedded control systems

30 EL2745 Principles of WSNs Application Presentation Session Transport Routing MAC Phy Process Controller After finishing the course, the participants will know the essential control, networking, programming, and signal processing tools to cope with Wireless Sensor Networks (WSNs) The participants will understand the design issues of WSNs and will be able to develop WSNs applications

31 Outline EES-ACCESS Research Vision Research Projects Education External Collaborations

32 Collaborations 32

33 Impact Through Industrial Collaborations All faculty in EES maintain industrial collaborations ABB Ericsson Scania FOI EADS Thales Interfleet TNO Boeing Cisco IBM Telenor Spotify Oracle Handelsbanken 2Secure Nokia Siemens Networks Alcatel-Lucent Telecom DOCOMO Qualcomm 33 Microsoft Research France Telecom ICCS ITEAM Honeywell T-Mobile Huawei Mitsubishi Electric Cohda Wireless UTRC

34 ES research at the Electrical Engineering School Carlo Fischione Associate Professor of Sensor Networks

35 History of Wireless Sensor Networks DARPA DSN node, 1960 Mica2 mote, 2002 Tmote-sky, 2003 Smart Dust, 201X

36 Other research projects Environmental monitoring Industrial control Health care Transportation