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SUMMARY:(Research) A Limited-Data Model Of Building Energy Consumption / (
 Research) Relay Node Placement for Wireless Sensor Networks Deployed in Tu
 nnels - Simon Hay and Ruoshiu Liu
DTSTART:20101018T130000Z
DTEND:20101018T140000Z
UID:TALK25463@talks.cam.ac.uk
CONTACT:Andrew Rice
DESCRIPTION:A Limited-Data Model Of Building Energy Consumption: Simon Hay
 \n\nWe present a model targeted at practical\, wide-scale deployment which
  produces an ongoing breakdown of building energy consumption. We argue th
 at wide-scale deployment is practical due to its reliance only on commonly
  available sensor information and crowd-sourced inventory data. The result
 s for our own building over the previous 10 months show many of the trends
  seen in the building’s true\, metered energy consumption and we find ou
 r model predicts long term averages within 10% of the true value in some s
 cenarios. We further use our model to estimate the potential impact of som
 e energy saving scenarios.\n\nRelay Node Placement for Wireless Sensor Net
 works Deployed in Tunnels\, Ruoshiu Liu\n\nNode placement plays a signific
 ant role in the effective and successful deployment of Wireless Sensor Net
 works\n(WSNs)\, i.e.\, meeting design goals such as cost effectiveness\, c
 overage\, connectivity\, lifetime and data latency. In this talk\, we prop
 ose a new strategy to assist in the placement of Relay Nodes (RNs) for a W
 SN monitoring underground tunnel infrastructure. By applying for the first
  time an accurate empirical mean path loss propagation model along with a 
 well fitted fading distribution model specifically defined for the tunnel 
 environment\, we address the RN placement problem with guaranteed levels o
 f radio link performance. The implementation of the proposed scheme is eva
 luated by simulation\, and it lays the foundations for further work in WSN
  planning for underground tunnel applications.\n
LOCATION:SS03\, William Gates Building
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