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Coverage Control for Mobile Sensing Networks: Variations on a Theme
Overview This paper presents control and coordination algorithms for networks of autonomous vehicles. This paper focuses on groups of vehicles performing distributed sensing tasks where each vehicle plays the role of a mobile tunable sensor. The paper designs distributed gradient descent algorithms for a class of utility functions which encodes optimal coverage and sensing policies. These utility functions are studied in geographical optimization, vector quantization, and sensor allocation contexts. The algorithms exploit the computational geometry of spatial structures such as Voronoi diagrams.
| Publisher | University of Illinois | File Format | |
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| Date Published | March 2006 | ||
| Format | White Papers | ||
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