Open Problems in Communication and Computation pp 123-124 | Cite as

# Distributed Shortest Path Algorithms

Chapter

## Abstract

Consider a graph *G*(*V*,*E*) with a distinguished node called the root and with some positive weight associated with each direction on each edge. The length of a path in the graph is the sum of the weights in the direction of the path over the edges of the path. The shortest path problem is to find a minimum weight path from each node to the root. In the special case where each edge has unit weight, we call the shortest path problem the minimum hop problem.

## Keywords

Short Path Time Complexity Communication Complexity Positive Weight Short Path Problem
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

## References

- [1]G. Frederickson, “A Single Source Shortest Path Algorithm for a Planar Distributed Network,” in Proceedings of the 2nd Symposium on Theoretical Aspects of Computer Science, Jan. 1985.Google Scholar
- [2]B. Awerbuch and R.G. Gallager, “Communication Complexity of Distributed Shortest Path Algorithms,” MIT Technical Report LIDS- P-1473, June 1985.Google Scholar
- [3]B. Awerbuch and R.G. Gallager, “Distributed BFS Algorithms,” in IEEE Symposium on the Foundations of Computer Science, Oct. 1985.Google Scholar

## Copyright information

© Springer-Verlag New York Inc. 1987