Deployment, Test and Validation of Sensor Networks
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1 Deployment, Test and Validation of Sensor Networks Jan Beutel Computer Engineering and Networks Lab, ETH Zurich 04-Dec-06
2 Wireless Sensor Networks Visions Ubiquitous Vision Smart Dust Directed Diffusion COTS Dust Scale Free Networks Wireless Overlay PicoRadio Paintable Computing Terminodes Applications Argo Military Surveillance James Reserve Shooter Localization Sensor Webs Duck Island ZebraNet 2
3 Wireless Sensor Networks Visions Ubiquitous Vision Smart Dust Directed Diffusion COTS Dust Scale Free Networks Wireless Overlay PicoRadio Paintable Computing WSN Community Terminodes Applications Argo Sensor Webs Military Surveillance Duck Island James Reserve Prototypes, Experiments and Research Demos ZebraNet Shooter Localization 3
4 Wireless Sensor Networks Visions Ubiquitous Vision Smart Dust Directed Diffusion COTS Dust Scale Free Networks Wireless PicoRadio Paintable Terminodes Other Overlay Computing WSN Community People Applications Argo Production Applications Sensor Webs Military Surveillance Duck Island James Reserve Prototypes, Experiments and Research Demos ZebraNet Shooter Localization 4
5 Argo Global Ocean Observation Strategy Global array of temperature/salinity profiling floats Satellite data relay to data centers on shore Operational since 2000 Developed and maintained mainly by oceanographers 5
6 Anti-Submarine Surveillance Distributed acoustic monitoring and surveillance Advanced signal processing Mostly wireline and analog Fixed installations and mobile units Military development since the cold war 6
7 Globally Networked Weather Stations 7
8 Wireless Sensor Network Systems Today 8
9 Proof-of-Concept Deployment Experience 9 [Gilmann Tolle, UC Berkeley] [Koen Langendoen, TU Delft] [Prabal Dutta, UC Berkeley] [Prabal Dutta, UC Berkeley]
10 More Wireless Sensor Network Systems 10
11 WSN Development Reality It is hard to deploy anywhere beyond nodes today. Coordinated methods and tools are missing today. 11
12 Today's WSN Design and Development Simulation TOSSIM [Levis2003] PowerTOSSIM [Shnayder2004] Avrora [Titzer2005] Specialized simulation tools for WSN applications Scale Virtualization and Emulation EmStar [Ganesan2004] BEE [Chang2003,Kuusilinna2003] Maté, MELETE, JVMs [Levis2002,Yu2006] Test Grids motelab [Werner-Allen2005] Emstar arrays [Cerpa03/04] Kansei [Dutta2005] Reality Fast-prototyping in a controlled environment Closing in on the real experience Figure abridged from D. Estrin/J. Elson 12
13 Today's WSN Design and Development Simulation Scale TOSSIM [Levis2003] PowerTOSSIM [Shnayder2004] Avrora [Titzer2005] Virtualization and Emulation EmStar [Ganesan2004] BEE [Chang2003,Kuusilinna2003] Maté, MELETE, JVMs [Levis2002,Yu2006] Test Grids motelab [Werner-Allen2005] Emstar arrays [Cerpa03/04] Kansei [Dutta2005] Reality Deployment Trial-and-error [Mainwaring2004, Hemingway2004,Cerpa2001] Dependence on infrastructure [Szewczyk2004] In-network reprogramming [Levis2004,Hui2004] Calibration and Verification [Szewczyk2004] Figure abridged from D. Estrin/J. Elson 13
14 From Proof-of-concept to Real-world WSNs Traditional test grid Wired Immobile Not scalable In-network tools Limiting, unreliable Self-organizing backbone network with deployment-support services Deployment-Support Network 14
15 Next-Generation Deployment-Support Developer Workstation Deployment-Support Network Temporary, minimal invasive Virtual connections to nodes Reliable, wireless, scalable Target Sensor Network 15
16 JAWS Application Partitioning JAWS Application Topology Control Connection Management Data Transport Caching Node Management Codesize 100 kb Target Adapter Target Control Programming Logging 4 kb WSN Target Application Monitor Threads/IRQs High level context 2 kb 16
17 JAWS DSN Architecture Details 17
18 JAWS Sensor Network Monitoring Toolkit A suite of services based on the JAWS deployment-support network Remote logging and event detection BTnut OS tracing facility Long-term logging and analysis Remote programming Generic DSN access Power and status monitoring Coordinated fault injection Target Sensor Network 18
19 JAWS Application Fire Sensor Networks KTI Cooperation: CSEM Siemens TIK Test Setup Development & Analysis Field Testing ma Slave sniff Master sniff Slave active Master active Standby samples
20 Deployment-Support Closing the Loop Full life-cycle support for Sensor Networks Target Sensor Network 20
21 Acknowledgements BTnode Core Team Oliver Kasten, Marc Langheinrich, Matthias Ringwald, Kay Römer, Friedemann Mattern Philipp Blum, Matthias Dyer, Martin Hinz, Kevin Martin, Lennart Meier, Luca Negri, Mustafa Yuecel, Lothar Thiele Material used on this presentation is courtesy of Koen Langendoen (TU Delft), Prabal Dutta (UC Berkeley), Gilmann Tolle (UC Berkeley) Related publications M. Dyer, J. Beutel, L. Thiele: S-XTC: A Signal-Strength Based Topology Control Algorithm for Sensor Networks. AHSP M. Dyer, J. Beutel, L. Thiele, T. Kalt, P. Oehen, K. Martin, P. Blum: Deployment Support Network - A Toolkit for the Development of WSNs. EWSN 2007 J. Beutel: Fast-prototyping Using the BTnode Platform. DATE 2006 J. Beutel, M. Dyer and K. Martin: Sensor Network Maintenance Toolkit. EWSN J. Beutel, M. Dyer, L. Meier, and L. Thiele. Scalable topology control for deployment-sensor networks. IPSN J. Beutel. Robust Topology Formation using BTnodes. Computer Communications J. Beutel, M. Dyer, M. Hinz, L. Meier, M. Ringwald. Next-Generation Prototyping of Sensor Networks. SenSys J. Beutel, O. Kasten, F. Mattern, K. Römer, F. Siegemund, and L. Thiele. Prototyping wireless sensor network applications with BTnodes. EWSN
22 To probe further 22
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