Random walk and lighting control
Name
Paradiso_Random walk.pdf
Size
290.96 KB
Format
Adobe PDF
Checksum (MD5)
1c7dbdd0f1f9590afb60e53260b0b315
Author(s)
Aldrich, Matthew Henry
Badshah, Akash
Zhao, Nan
Paradiso, Joseph A.
Mayton, Brian Dean
Date Issued
November 2013
Journal
Proceedings of the 2013 IEEE SENSORS
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Aldrich, Matthew, Akash Badshah, Brian Mayton, Nan Zhao, and Joseph A. Paradiso. “Random Walk and Lighting Control.” 2013 IEEE SENSORS (November 2013).
Version
Author's final manuscript
Abstract
We pose the problem of turning off a single luminaire (or group) as an optimal stopping problem. We present the stationary and first-passage analysis of motion data obtained using custom wireless nodes in an open office floor plan. These calculations allow us to estimate the state of the network and calculate the probability and expected number of steps to visit a state from any arbitrary state. We also investigate if there is any evidence of clustering amongst the nodes by studying the covariance of the dataset. The data indicate the existence of clustering within the lattice. In other words, the analysis of random walk prevents luminaires from accidentally shutting off and dimensionality reduction determines the correct zoning of lighting via the occupants' movements.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Massachusetts Institute of Technology. Responsive Environments Group
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICSENS.2013.6688590
