Outline

2. Outline • ChannelModel Measurements • Change Requests • Design and Implementation Status • Project Management Methodologies • Testing Process and Test Cases • Publications • Next Phase plan • Demo • Introduction & Business Overview • Web of Objects (WoO) • ITEA2 Web of Objects • Smartec Formal role • Wireless Sensor Networks • Sensors Platforms and our Hardware Choice Process • Product overview • Mote Deployment in WSN • Deployment Algorithms 2

3. Introduction & Business Overview

4. Web of Objects (WoO) 4 • What is ITEA2 Web of Objects • The International Project Consortium • The Egyptian Project Consortium • The Egyptian Consortium Collective Contribution • Why Efficient Climate Control • Advantages of the current approach • Web of Objects Technology • Partners Roles • Conclusion

5. ITEA2 Web of Objects (1) 5 • Converting all Things (Objects) in Buildings into SMART Objects that are identifiable, addressable, internet enabled, self-organizing and self-configurable. • The WoO project’s goal is to turn up the Internet of Things promises into reality by simplifying objects and application deployment, commissioning, maintenance, operation and service composition inside building infrastructures. • To reach this goal, the following technologies are used: • Wireless Sensor Networks • IPv6 with 128-bit address • 6LowPAN (low power Area Networks) (IEEE802.15.4) • SOA (Service Oriented Architecture)

6. ITEA2 Web of Objects (2) 6 • Expected impacts of the project include: • Optimize Sensors deployment. • Simplify building systems commissioning and maintenance by enabling seamless integration from low cost sensors to high end systems into a service oriented architecture. • Simplify building management through simple application design and deployment (service composition). • Reduce building systems maintenance cost by leveraging system autonomic behavior (self-x). • Enable reduction of building energy consumption thanks to a true distributed information sharing architecture. • Enable new cross-domain applications by sharing services/functionalities.

7. The International Project Consortium 7 • 28 Organizations (INDs, SMEs, Universities, Research). • 5 Countries (France, Germany, Egypt, Spain, Netherlands). • Major Industrial Organizations: Schneider Electric, Thales group (Leader), Alcatel-Lucent, Siemens, Bosch, Philips … etc • Major Universities: Université Paris Est, University of Rostock, Cairo University, Universitat Politècnica de Catalunya, Universidad Politécnica de Madrid … etc • Major Research centers: Ifak, Institut Telecom, Telecom SudParis … etc

8. The Egyptian Consortium 8 • Cairo University (Academic): self-organized wireless sensor networks: auto-config. and fault identification. • NMA Technologies (SME): HVAC energy optimization and in-Building climate control algorithms. • Smartec (SME): Wireless Sensor Networks channel modelling, mote placement optimization, power management, and deployment.

9. The Egyptian Consortium Collective Contribution 9 • All the partners in the Egyptian Consortium have coordinated their efforts to share one strong use case that will take the form of a pilot project titled “Autonomous Energy Efficient Climate Control Solution.” • The idea is to offer a solution that provides climate control with optimized energy usage based on smart sensing, autonomous actuation and localized decision making, with the ability to monitor the climate of buildings using a web portal.

10. The Egyptian Use Case 10 • Supports the signed Memorandum between the MCIT and the Ministry of State of Environmental Affairs • Follows the 3rd Program: ICT solutions: A more sustainable future • Can be part of the study that will be conducted to assess how the Smart Village complies to the criteria and specifications of environment friendly architecture

11. Why Efficient Climate Control 11 • The buildings use up to 40% of the total country energy production and the systems for Heating, Ventilation and Air Conditioning (HVAC) account for 40% of this energy. • According to certain assessments energy efficiency in HVAC system could be improved within 20-40% • Satisfying the requirements of thermal comfort of habitants based on multi-component index assessment • Optimization of energy efficiency in buildings means for us: • Only use energy when it is really required • Only use the amount of energy actually required • Apply the energy that is used with the highest possible efficiency

12. Advantages of the current approach 12 • Uses various networked sensors (temperature, occupancy, humidity … etc) that talks to each other and coordinates together to ensure quality of service. • Enables localized decision making and faster control actions to facilitates the delicate balance of thermal comfort and energy usage. • The incorporation of Service Oriented Architecture as design principles will ensure extendibility, flexibility, inerrability, maintainability … etc • This approach will simplify deployment, commissioning, maintenance, operation and service composition inside building infrastructures.

13. Web of Objects Technology 13 • Adapting heterogeneous Wireless Sensor Networks (WSNs) and working on connecting different types of them for enabling common communication language between the different sensors and actors and trying to adopt the IP paradigm (IPv6) as a standard protocol. • Lowest power consumption by the proposed WSN is a main objective through the 6LoWPAN. • Commercial building automation is the target market with high emphasis on power efficiency and energy optimization.

14. Web of Objects Technology (2)

15. Web of Objects Technology (2) 15 WP2: State of the art State of the art, use cases, business models WP3: Architecture Requirements, specification, reference architecture WP4: Core technology IPv6, wireless sensor networks, semantic WP1: Coordination Planning, monitoring, reporting WP8: Dissemination Dissemination, Exploitation, Standardization WP5: Tools Development, deployment, composition, management WP6: Migration/Convergence Migration from legacy, convergence with existing standards WP7: Demonstrators 1+ demonstrator per country, 1 cross-country demonstrator

16. Smartec Formal role 16 • Will start the activities by studying the different aspects related to deploying large scale WSNs. In a wireless sensor network, a sensor measures environmental data. It also relays data for other sensors. While sensing workload is the same among sensors, relaying workload differs. Sensors closer to the data sink carry more data traffic. This becomes more prominent as the network scales up. The drawback of this is that nodes in the network degrade unevenly and the network ages in a non-uniform way. We will study simple methods to overcome the problems associated with increasing the network size. This activity will be coordinated with the research team at Cairo university. • As we are targeting actual implementation of WSN in the smart village buildings, which are characterized by a unique structure, measurement campaigns are performed and channel models are developed. The measurements will be fitted into the known channel models or new models will be developed. These models will be used to simulate the network before actual deployment.

17. Smartec Formal role (2) 17 • The WSN nodes (motes) are battery operated for rapid redeployment and ease of expansion. Consequently, power management is a key ingredient in the design of WSNs. The power consumption is mainly distributed between the radio, processing, and sensing blocks. Radios benefit less from technology improvements than processors and the relative impact of the communication subsystem on the system energy consumption will grow. Communication is the most dominant factor, while processing and sensing energy are usually less important. Using low-power components and trading-off unnecessary performance for power savings can have orders of magnitude impact on the system performance. • Based on all of the above Smartec will develop algorithms for mote placement. Optimizing the mote positions given the channel models and the large system considerations for optimized network performance and minimum power consumption are the targets of the activity.

18. Final Outcome 18 A software tool that takes the map of the deployment area, the obstacles, and the channel model, and according to certain deployment criteria, proposes a deployment scenario satisfying a predefined criteria.

19. Business and Scientific Market • 2D and 3D simulator could be beneficial to: • Academic Research • Real Deployment • Home automation Control • Energy Saving in factories • Pipe Monitoring • …….. • New Mote with : off-the-shelf Devices

20. Where our project fits ? • Our Project in the core of all teams. • All teams can use our simulator to design efficient network before deployment .

21. Wireless Sensor Networks

22. Pressure Humidity Light Identity Motion Acceleration Radiation Temperature Pictures Vibration Video Magnetism Velocity Weight Vital signs ….…… Introduction • Sensors WeC Dot Rene Mica Pluto Mobile Sensor Spec Mica2 Telos 22

23. What is a sensor Network? Monitored field Internet Sink Node

24. 9/25/2012 What is a sensor Network? • Deployment process is the first step in forming wireless sensor networks. • Considering deployment parameters and/or Objectives will improve performance of deployment process . Monitored field

25. Sensor Networks Applications • Applications Habitat Monitoring Infrastructure Monitoring Health Care Transportation Rescue Operations Smart Environment 25

26. Intelligent Building Deployment Examples Sensors controlling appliances and electrical devices in the house. Better lighting and heating in office buildings. The Pentagon building has used sensors extensively.

27. The Problem • Finding an optimal deployment for 3D WSNs such that • Achieving full coverage of the target monitoring. • Network connectivity. • Maintaining a low deployment cost and taking into account obstacles. • Maximize the network Lifetime .

28. What is a Sensor Node? Sensing Unit Processing Unit Sensors Processor ADC Storage Power Unit Communication Unit MobilitySupportUnit Location Finding Unit

29. Enabling Technologies Embed numerous distributed devices to monitor and interact with physical world Network devices to coordinate and perform higher-level tasks Embedded Networked Control system w/ Small form factor Untethered nodes Exploitcollaborative Sensing, action Sensing Tightly coupled to physical world Exploit spatially and temporally dense, in situ, sensing and actuation

30. What are motes? Motes mainly consist of three parts:- • Mote basically consists of a low cost and power computer. • The computer monitors one or more sensors. Sensors may be for temperature, light, sound, position, acceleration, vibration, stress, weight, pressure, humidity, etc. • The computer connects to the outside world with a radio link.

31. Mica 2 Motes • These motes sold by Crossbow were originally developed at the University of California Berkeley. • The MICA2 motes are based on the ATmega128L AVR microprocessor. The motes run using TinyOS as the operating system. • Mica2 mote is one of the most popular and commercially available sensors which are marketed by CrossBow technologies. MICA 2 MOTE Ref:http://www.xbow.com/Products/Product_pdf_files/Wireless_pdf/MICA2_Datasheet.pdf

32. Telosb Motes • Telosb motes have USB programming capability • An IEEE 802.15.4 compliant, high data rate radio with integrated antenna, a low-power MCU • There are also equipped with extended memory and an optional sensor suite

33. NXP Board • 40-pin DIP, 0.1" pitch • Programmed via USB • 60MHz ARM, 32KB RAM, 512KB flash • Ethernet, USB slave • 2xSPI, 2xI2C, 3xUART, 1xCAN

34. Sensors Platforms and our Hardware Choice

35. Sensor Networks Simulators and Channel Modeling

36. Product overview

37. Product Requirements and Specifications • Optimize the mote placement based on the channel models. • Develop a tool optimized for the project needs. • The software tool should be capable of incorporating the channel models and mote properties to be able to optimally place the motes. • The tool will take the design of the building, the furniture distribution through the building and the motes properties as an input by easy / friendly way and then propose the optimal way for mote placement.

38. MPOT Unique Features • Full 3D environment description • Full 3D radio modeling • Compatible with hardware selected by partners • 6LoWPAN and IEEE 802.15.4 support • Extendable to support more Channel Models and other platform specifications.

39. GUI Data Repository MPOT Architecture Encryption/ Decryption Simulation Manager Simulator

40. User Layer User Interaction Layer Work Area Action Manipulation User Management Layer Authentication App Configuration User Handler Layer Result Handler Environment Object Analyzer Validator

41. Simulator Layer Simulation Manager Libraries Manager Deployment Optimizer Configuration Builder Result Handler WSN Simulation Engine

44. Used Technology • C++ for programming • Qt Library for GUI • Linux Operating System • NXB Hardware • Castalia Simulator based on OMNET++

45. 2D and 3D GUI Problems • Castalia simulator has no GUI Interface • Our project needs handling to objects such as furniture • No support for the concept of Motes • No support to the concept of walls as well as rooms • There is no library satisfies all what we need. • 3D representation and visualizing to the previous items are very difficult and time consuming as well as based on mathematical models. • The rendering is another problem specially if we need to have the user informed each iteration • Keeping track every user action and validating his/here actions is a painful task and memory consuming.

46. GUI Libraries • Ubireal Features • designing virtual smartspace by GUI; • simulating communication between virtual devices (network simulator); • emulating temporal transition of physical quantities (physical quantity simulator); • visualizing state changes of devices by 3D animations (visualizer).

47. Ubireal Features • Disadvantages • There were some problem installing it in Linux • Too slow to run in Windows • To execute UbiREAL we must run sequence of bat files • Must change the setting of the project to define the place of the native library. After all , it crashes when we do so.

48. GUI Libraries (fady) • FreeCAD Library Features • A full parametric model. All FreeCAD objects are natively parametric, which means their shape can be based on properties or even depend on other objects, all changes being recalculated on demand, • Import/export to standard formats such as TEP, IGES, OBJ, STL, DXF, SVG, STL, DAE, IFC or OFF, NASTRAN, VRML • ASketcher with constraint-solver, allowing to sketch geometry-constrained 2D shapes.

49. FreeCAD Library • Disadvantages • Navigation in freeCAD is difficult rotating and moving any object is not an easy task. • FreeCAD supports only limited number of objects – no support for furniture . • There is no enough documentation in the architecture part. • The motes object does not exist it will be build from scratch in FreeCAD. • It will be much better to create new GUI from scratch rather than change freeCAD or eliminate some features in it.

50. GUI Libraries • Qt Library Features and Constraints • Qt is considered the core of FreeCad ; it does not have all what we need. • Have an integrated 2D framework. The framework provides all the vector graphics functionality needed by the application. • Taking complete control over our needs. • Qt is cross platform which makes porting the application to another environment is nothing but a matter of recompiling on that other platform. • 3D support options are widely open either by using opengl directly or using Qt3D module or even by using a 3d graphics engine like irrlicht or ogre3d.