We are brainstorming on monitoring of an autonomous army of future nanotechnology
robots. First, we look at traditional statistical methods that have been
used successfully in similar settings, but different scales and dimensions
By offering randomized algorithms based on modern computer intensive
methods such as bootstrap, we can simulate unknown identities like the
network topology and determine bounds on various trade-offs in estimating
the achievements of nanobots (nanorobots)
Due to missing real-life data and open biological questions we investigate on general grounds using models of biology-related cell structures and fractals to test the feasibility of our solution. We offer a ready-to-use algorithm and the ideas of how to minimize the complexity of the robots.