Department:Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science
Publisher:Springer Berlin / Heidelberg
Date Issued:2011-08
Abstract:
We develop constant-factor approximation algorithms for minimizing the maximum movement made by pebbles on a graph to reach a configuration in which the pebbles form a connected subgraph (connectivity), or interconnect a constant number of stationary nodes (Steiner tree). These problems model the minimization of the total time required to reconfigure a robot swarm to achieve a proximity (e.g., radio) network with these connectivity properties. Our approximation factors are tight up to constant factors, as none of these problems admit a (2 − ε)-approximation assuming P ≠ NP.
Description:
14th International Workshop, APPROX 2011, and 15th International Workshop, RANDOM 2011, Princeton, NJ, USA, August 17-19, 2011. Proceedings
Citation:Berman, Piotr, Erik D. Demaine, and Morteza Zadimoghaddam. “O(1)-Approximations for Maximum Movement Problems.” Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques. Ed. Leslie Ann Goldberg et al. LNCS Vol. 6845. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. 62–74.
Version:Author's final manuscript
Terms of Use:Creative Commons Attribution-Noncommercial-Share Alike 3.0