Issue No. 08 - August (2009 vol. 42)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2009.265
Andreas Krause , California Institute of Technology
Carlos Guestrin , Carnegie Mellon University
Where should we place sensors to quickly detect contamination in drinking water distribution networks? Which blogs should we read to learn about the biggest stories on the Web? Such problems are typically NP-hard in theory and extremely challenging in practice. The authors present algorithms that exploit submodularity to efficiently find provably near-optimal solutions to large, complex real-world sensing problems.
Information gathering, Observation selection, Submodular functions, Environmental monitoring, Information overload, Blogs, Active learning
Andreas Krause, Carlos Guestrin, "Optimizing Sensing: From Water to the Web", Computer, vol. 42, no. , pp. 38-45, August 2009, doi:10.1109/MC.2009.265