Two talks on August 31: Mohammadreza Mahmudimanesh and Philipp M. Scholl

Dear GKmM members,

I am glad to announce two talks for our next GK meeting: (1) One talk from Reza reporting about his research as a DEEDS GK student, and (2) one talk from Philipp as an interview talk for a potential GK position with Kristof van Laerhoven. Below you find the abstracts of both talks.

**** The meeting will be on Wedn. August 31, 2011, 15:00-16:30, in room A102

Best,
Majid

 

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Research Report Talk: 15:00-15:30
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Title: Compressed Sensing in Wireless Sensor Networks

Speaker: Mohammadreza Mahmudimanesh

Abstract:

Compressed Sensing (CS) is a novel sampling theory that allows to accurately recover a compressible signal from few random linear measurements. CS has applications in virtually all sensory systems where acquiring individual samples is expensive or infeasible. A Wireless Sensor Network (WSN) is a sensory system comprised of resource-limited sensor nodes. Transferring every single sample in WSN usually causes a data traffic that exceeds the network capacity and renders the WSN lifetime unacceptable.

This talk will review the fundamental theory of CS and its applications in WSN. Then, we present our Spatiotemporal CS model for WSN. According to the CS theory, sampling rate grows logarithmically with the size of the discrete compressible signal. Therefore, extending the dimension of the CWS signal to the temporal domain leads to a more efficient data acquisition technique. In particular, when the data collection can tolerate higher latencies, we can acquire compressive measurements over longer periods. The higher the level of delay-tolerance, the more significant is the reduction of sensor data traffic. Accordingly, our model allows a tunable sampling period in order to maximize the benefit from temporal correlations. We also shortly introduce our new work, integrating CS into Collection Tree Protocol.

 

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Interview Talk: 15:30-16:00
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Title: Shape Tracking of Ropes with Embedded Sensors,

Presenter: Philipp M. Scholl (Karlsruhe Institute of Technology)

Abstract:

Seamlessly integrating high-tech localization support into the current techniques of firefighting mission is still an open research question.
Working in a burning, smoke-filled and unknown building poses special requirements and challenges to the navigation support system and the firefighters. Becoming disoriented in such an environment means a life-threatening risk for the firefighters, not only because of their limited air supply. The current technique employed by firefighters to handle such risks is by using a "life-line", a specialized rope or a fire-hose attached to the entry point of the building.
Based on current navigational techniques, this talk will specify research in a sensor-system, embedded in a deformable linear rope-like object to sense its geometrical shape by measuring its mechanical deformation. Measuring the bending and curvature of such a deformable linear object should allow to reconstruct its posture (and therefore its position) in 3-dimensional space.
This reconstructed posture can then be used to localize firefighting teams currently carrying such an instrumented "life-line", to detect critical situations like rope entanglement, to give additional information to mission control about the positions of deployed teams, and to support their navigation.