1 Environment and Sensor Networks US – France Workshop Guillaume Chelius ARES Project, INRIA October, 22 - 24, 2007.

Slides:

Advertisements

Similar presentations

KANSEI TESTBED OHIO STATE UNIVERSITY. HETEREGENOUS TESTBED Multiple communication networks, computation platforms, multi-modal sensors/actuators, and.

Advertisements

Wireless Sensor Networks Studies and experiences at ISMB Torino, Italy Edoardo Calia Human Factors and the Digital Home Workshop ETSI, Sophia.

St. Louis Public Schools Accountability Plan October 20, Kelvin R. Adams, Ph.D. Superintendent of Schools.

1 Denial of Service in Sensor Networks Authors: Anthony D. Wood, John A. Stankovic Presented by: Aiyaz Amin Paniwala.

Transmission Power Control in Wireless Sensor Networks CS577 Project by Andrew Keating 1.

1 Modeling antibiotic resistance in populations: from deterministic to stochastic to agent-based models. Laura TEMIME G Thomas, PY Boëlle, D Guillemot.

Life and Health Sciences Summary Report. “Bench to Bedside” coverage Participants with very broad spectrum of expertise bridging all scales –From molecule.

“Software Platform Development for Continuous Monitoring Sensor Networks” Sebastià Galmés and Ramon Puigjaner Dept. of Mathematics and Computer Science.

TOSSIM A simulator for TinyOS Presented at SenSys 2003 Presented by : Bhavana Presented by : Bhavana 16 th March, 2005.

Scaling Up and Spreading Change Jane Taylor, Ed.D. Improvement Advisor to SCCM.

Accurate Emulation of Wireless Sensor Networks Hejun Wu Joint work with Qiong Luo, Pei Zheng*, Bingsheng He, and Lionel M. Ni Department of Computer Science.

A Platform for WEbS (wireless embedded sensor/actuator) systems David Culler Eric Brewer Dave Wagner.

Adaptive Security for Wireless Sensor Networks Master Thesis – June 2006.

An Energy Consumption Framework for Distributed Java-Based Systems Chiyoung Seo Software Architecture Research Group University of Southern California.

1 Link Characteristics in Sensor Networks. 2 Why Such a Study? (in)validate whether the basic model used in design is accurate or not  Remember you have.

CS526 Wireless Sensor Networks Instructor: KD Kang.

1 An Energy Efficiency Evaluation for Sensor Nodes with Multiple Processors, Radios and Sensors Deokwoo Jung Embedded Networks and.

Distributed data fusion in peer-to-peer environment Sergiy Nazarko, InBCT 3.2, Agora center, University of Jyväskylä.

CS 441: Charles Durran Kelly.  What are Wireless Sensor Networks?  WSN Challenges  What is a Smartphone Sensor Network?  Why use such a network? 

Instrumentation and Profiling David Kaeli Department of Electrical and Computer Engineering Northeastern University Boston, MA

Department of Computer Science University of Massachusetts, Amherst PRESTO: Feedback-driven Data Management in Sensor Network Ming Li, Deepak Ganesan,

Team Members Jordan Bennett Kyle Schultz Min Jae Lee Kevin Yeh.

Sensor Network Simulation Simulators and Testbeds Jaehoon Kim Jeeyoung Kim Sungwook Moon.

RaPTEX: Rapid Prototyping of Embedded Communication Systems Dr. Alex Dean & Dr. Mihai Sichitiu (ECE) Dr. Tom Wolcott (MEAS) Motivation  Existing work.

Sensor Coordination using Role- based Programming Steven Cheung NSF NeTS NOSS Informational Meeting October 18, 2005.

Avrora Scalable Sensor Simulation with Precise Timing Ben L. Titzer UCLA CENS Seminar, February 18, 2005 IPSN 2005.

Spring 2000, 4/27/00 Power evaluation of SmartDust remote sensors CS 252 Project Presentation Robert Szewczyk Andras Ferencz.

ENERGY EFFICIENT INDOOR LOCALIZATION IN WIRELESS SENSOR NETWORKS

RADIO + MCU + FLASH + USB Low-Power RF System-on-Chip

Wireless Sensor Networking for “Hot” Applications: Effects of Temperature on Signal Strength, Data Collection and Localization.

Mihai GALOS - ICECS Dynamic reconfiguration in Wireless Sensor Networks Mihai GALOS, Fabien Mieyeville, David Navarro Lyon Institute of Nanotechnology.

Shahin Farshchi, Member, IEEE, Aleksey Pesterev, Paul Nuyujukian, Eric Guenterberg, Istvan Mody, and Jack W. Judy, Senior Member, IEEE, ” Structure of.

OFC 200 Microsoft Solution Accelerator for Intranets Scott Fynn Microsoft Consulting Services National Practices.

SSIART – Smart Sensor Inter-Agency Reference Test bench Activity Presentation October 2010 Jean-François Dufour ESA/ESTEC/TEC-EDD.

University of Virginia Wireless Sensor Networks August, 2006 University of Virginia Jack Stankovic.

ULTRAWIDEBAND TECHNOLOGY FOR CREATING A WIRELESS WORLD.

Presentation of results Challenges How can we use new media or social network in the field of adult education in the context of lifelong learning? What.

Capita Selecta Distributed Systems Danny Hughes, Wouter Joosen, Sam Michiels, Eddy Truyen IBBT-DistriNet, KULeuven September

Distributed Intelligent Sensing and Control (DISC) for Automotive Factory Automation. Dr. Robert Brennan Dr. Ningxu Cai Mohammad Gholami.

1 Webinar: Challenges in Clinical Training Ben Wallace, Executive Director, Clinical Training Reform Health Workforce Australia.

PRESTO: Improvements of Industrial Real-Time Embedded Systems Development Process

UNIVERSITY COLLEGE DUBLIN Adaptive Radio Modes in Sensor Networks: How Deep to Sleep? SECON 2008 San Francisco, CA June 17, 2008 Raja Jurdak Antonio Ruzzelli.

Issues Autonomic operation (fault tolerance) Minimize interference to applications Hardware support for new operating systems Resource management (global.

Advanced Controls and Sensors David G. Hansen. Advanced Controls and Sensors Planning Process.

Milestones, Feedback, Action Items Power Aware Distributed Systems Kickoff August 23, 2000.

Wireless Sensor Network (WSN). WSN - Basic Concept WSN is a wireless network consisting of spatially distributed autonomous devices using sensors to cooperatively.

An Integrated Design Environment to Evaluate Power/Performance Tradeoffs for Sensor Network Applications Amol Bakshi, Jingzhao Ou, and Viktor K. Prasanna.

Smart Sensor Node Impact  GPS leveraged for geo-referenced identity, and low power communications synchronization. Up to 100x communications power reduction.

Evaluating Wireless Network Performance David P. Daugherty ITEC 650 Radford University March 23, 2006.

Technical Workshop 5-6 November 2015 Alberto Di Meglio CERN openlab Head.

Accurate Prediction of Power Consumption in Sensor Networks University of Tubingen, Germany In EmNetS 2005 Presented by Han.

18/01/16 ComNets, RWTH Aachen University, Faculty 6 openWNS Open Source Wireless Network Simulator A Simulation Platform for Wireless Systems Chair of.

Instructional Design Course Production of Online Courses.

Link Layer Support for Unified Radio Power Management in Wireless Sensor Networks IPSN 2007 Kevin Klues, Guoliang Xing and Chenyang Lu Database Lab.

Goals The DNP3 protocol is widely used in electrical power systems as a means of communicating observed sensor state information back to a control center.

Project: IEEE P Working Group for Wireless Personal Area Networks (WPANS) Submission Title: [UWB System Design for Low Power, Precision Location.

Freemote: A Wireless Sensor Networks Emulation System Raphael Kummer Timothée Maret Peter Kropf

EmStar: A Software Environment for Developing and Deploying Wireless Sensor Networks CENS Research Review October 28, 2005 UCLA CENS EmStar Team.

CCSDS SOIS WWG – Spring 2011 – Berlin Presentation of the Agency’s activities on wireless technologies Jean-Francois Dufour

MIT Lincoln Laboratory Dynamic Declarative Networking Exploiting Declarative Knowledge To Enable Energy Efficient Collaborative Sensing Daniel J. Van Hook.

Department of Electrical Engineering, National Taiwan University of Science and Technology EURASIP Journal on Wireless Communications and Networking.

Authors: Christos Stergiou Andreas P. Plageras Kostas E. Psannis

EUDAT: collaborative pan-European infrastructure providing research data services, training and consultancy This work is licensed.

A G3-PLC Network Simulator with Enhanced Link Level Modeling

Effective radiation pattern

Chair of Communication Networks

Measuring Mobile Broadband Networks in Europe

Measuring contact patterns with wearable sensors: methods, data characteristics and applications to data-driven simulations of infectious diseases A.

Task Manager & Profile Interface

Presentation transcript:

1 Environment and Sensor Networks US – France Workshop Guillaume Chelius ARES Project, INRIA October, , 2007

2 Summary Complete hardware architecture Focus on antenna design Precise low-level simulation and estimation tools for high-level feedback Performance analysis Energy consumption Debug and functional validation Communication protocols design and evaluation Realistic radio link models Protocol dimensioning Application and experimentation driven researches

3 Hardware architecture WSN430 TI MSP430 + Chipcon CC1100 Specific on-board antenna design

4 Accurate Software/System Profiling tools Complete Sensor Network simulation (WSim): Complete hardware platform emulation (MCU, R/F, external periph., etc.)‏ Target binary code Instruction and radio byte precision –Digital Frequency Scaling (DFS)‏ Source code annotation/feedback/profiling

5 Accurate Protocols Profiling tools High-level event-driven simulation Simulator benchmarking Models of simulation cost Protocol dimensioning Analytical evaluation of protocols Protocol simulation Protocol implementation evaluation

6 Mastering hOSpital Antimicrobial Resistance Better understand the dynamic of AMRB transmission the real-time analysis of the relative contribution of exposure to antibiotics; the intrinsic characteristics of epidemic clones that contribute to inter-individual transmission; the identification of factors contributing to the transmission of strains between individuals in the hospital population and community; Document interactions between medical and nursing staff patients to patients patient to medical staff Document contact frequencies monitor the dynamic (inter & intra contact)‏ characterize the interaction network

7 MOSAR’s experiment Experiment : 400 sensor nodes 6 months duration Hospital context In France, UK, Spain

8 Collaboration perspectives Simulation aspects Application & OS development New experimentations & applications