Shortest paths in sensor snow

We propose to deploy and exploit a large number of non-mobile inexpensive distributed sensor and communication devices (called Smart Sensor Snow) to obtain information and guide mobile robots over a wide geographic area. Sensors may be of diverse physical natures: acoustic, IR, seismic, chemical, magnetic, thermal, etc. We have previously described solutions for three major issues: (1) sensor distribution patterns, (2) local sensor frames, and (3) autonomous robot sensor snow exploitation techniques. In this paper, we propose the use of level set theory to solve shortest path problems in smart sensor snow.