1 overview of applications in mics karl aberer, epfl

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1 Overview of Applications in MICS Karl Aberer, EPFL

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Page 1: 1 Overview of Applications in MICS Karl Aberer, EPFL

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Overview of Applications in MICS

Karl Aberer, EPFL

Page 2: 1 Overview of Applications in MICS Karl Aberer, EPFL

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Applications

Environmental monitoring in Alpine environments

Monitoring and control in Smart Buildings

Vehicular applications Information sharing and retrieval

SNF mission: knowledge and technology transfer

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• Goal: use of wireless sensor networks for environmental monitoring applications in the alpine environment

– “SensorScope” as the currently most advanced project– Builds on phase 1 testbed in BC building

• Step 2: deployment in an outdoor environment on EPFL campus (summer 06)– Urban meteorology– Data of scientific interest, density

(110 weather stations), long term reliability– Simulation of flow over the campus using

temperature measurements of buildings– Inexpensive, autonomous (solar powered)

• Step 3: alpine watersheds(start winter 2006)

– Alpine hydrology– Large scale sensor network (1000+)

SensorScope

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Distributed Odor Localization

• Goal: distributed localization of a source of odor using a group of small scale robots

• Achievements at the end of the first year– Main hardware tool developments: robotic platforms

(with industrial partner), olfactory and anemometric modules, inter-robot local positioning system

– Main software tool developments: extension of Farrell’s simulator, customization of OpenFoam simulator in combination with Matlab

• Reinforcement of the environmental monitoring domain

– Wind-tunnel facilities at EPFL: planned upgrading of current wind tunnel and installation of new wind tunnel

– coordination with further initiatives (SensorScope, CCES)

– Preliminary discussions with Swiss industrial partners active in artificial olfaction

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Real time avalanche and landslide analysis• Sensor node imbedded in snow to

detect speed and position– Communication: UWB– Local positioning system (LPS) based

on differential ToA on a UWB com link+ Integrated inertial system

• Transmitting node– Pseudorandom binary sequence

generator – CDMA channels (10dBm RF output)– Internal XTAL (PN not critical)– Carbonide shell (critical)

• Receiving node– Impact ionization LNA

with gating – 210ps ToA resolution – Time-to-digital conversion

23 stageLFSR

CDMA segmentation

10GHz

0.35m CMOS

25m

Digital OUT

GATE

Injectionpoint

IN

Optical Gyro

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PermaSense• Partners:

CS Dept UniBas, Geo Dept UniZH, PERMOS (Permafrost Coord CH), BAFU (Bundesamt für Umwelt), ALPUG, ShockFish

• Monitoring permafrost lithosphere in CH- and F-Alps– sensor rods fitting into rock holes

• 1m long & 14mm dia fiberglass, 20 channels (temp and conductivity sensors)

• internal signal routing/demux, id chip on each rod, detached from node

– field of 10 wireless sensor nodes for 1 year unmanned operations

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Swiss Experiment

CCES – ETH Centre for environmental sustainability– project aiming at a “cyberinfrastructure” for

environmental scientists – Wireless sensing and backend information management– Two initial test sites: central Valais and Davos

MICS contribution– Environmental monitoring– Active control of sensor networks– Management of experiment results

in shared infrastructure– Data sharing and analysis

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WaterSense

• Wireless Sensor Networks for Water Management– Partnership with Indian Institute of Science (Bangalore) and

with the Hydrology Lab. Of EPFL (Hydram, Prof. Mermoud)– Partial funding from Swiss Development and Cooperation

agency

Goal: Help defining and implement farming strategies for poor farmers in a situation of water scarcity

Desired Outcome: farming decision support system based on wireless sensors’ data

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Monitoring and control in Smart Buildings

• Goal: Energy Savings• Issues

– Sensor infrastructure: avoid cabling– User interfaces: feeback and simplicity!

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Sensor Network Platform Kit

Jan Beutel, ETH ZürichKarl Aberer, EPFL

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• Lego Mindstorms for WSN Research– Want a “production ready” not an “experimental” kit– Fast learning curve– Standard, known-to-work demo app from sensor to web

interface

• Low-power wireless sensor node hardware (MSP430 based)• TinyOS based software and tools• Simple data gathering demo applications

• Testbed and deployment support based on BTnode DSN• Central data repository and management tools based on GSN

• Tutorial, documentation, installer CDROM • Staffed support for MICS members

Sensor Network Platform Kit

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Sensor Network Platform Kit – Activities

• SNPK Incentive for researchers (MICS and related)– Faster Jumpstart– Faster Design Cycle– Less Bugs– Pooling of Know-how and Experience– Less Parallelism in Development Projects– Increased Visibility– Educational Support

• SNPK Future Activities – Timeline– 10/2006 Release: SNPK rev1 (TinyNode, TOS-1, GSN, BTnode DSN)– 11/2006 TinyOS Workshop– 12/2006 Hiring of support staff completed– 06/2007 Release: SNPK rev2 (Application support, testbed, TOS-

2?)

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Sensor Network Platform Kit

• Potential for SensorPlanet– Fast startup cycle for new applications based on sensor

networks based on TinyOs based motes– Easier integration of application groups– Distribution could be provided by MICS– Most important resource: support engineers!