The Computer Journal
A note on the efficiency of an interval routing algorithm
The Computer Journal - Special issue on data structures
Worst case bounds for shortest path interval routing
Journal of Algorithms
On the Dilation of Interval Routing
MFCS '97 Proceedings of the 22nd International Symposium on Mathematical Foundations of Computer Science
Lower Bounds for Compact Routing (Extended Abstract)
STACS '96 Proceedings of the 13th Annual Symposium on Theoretical Aspects of Computer Science
The Complexity of Shortest Path and Dilation Bounded Interval Routing
Euro-Par '97 Proceedings of the Third International Euro-Par Conference on Parallel Processing
On Interval Routing Schemes and Treewidth
WG '95 Proceedings of the 21st International Workshop on Graph-Theoretic Concepts in Computer Science
New bounds for multi-label interval routing
Theoretical Computer Science
Interval routing in reliability networks
Theoretical Computer Science - Foundations of software science and computation structures
Hi-index | 14.98 |
Interval routing is a space-efficient method for point-to-point networks. It is based on labeling the edges of a network with intervals of vertex numbers (called interval labels). An $M$-label scheme allows up to $M$ labels to be attached on an edge. For arbitrary graphs of size $n$, $n$ the number of vertices, the problem is to determine the minimum $M$ necessary for achieving optimality in the length of the longest routing path. The longest routing path resulted from a labeling is an important indicator of the performance of any algorithm that runs on the network. We prove that there exists a graph with $D=\Omega(n^{\frac{1}{3}})$ such that if $M\leq {\frac{n}{18D}}-O(\sqrt{\frac{n}{D}})$, the longest path is no shorter than $D+\Theta({\frac{D}{\sqrt{M}}})$. As a result, for any $M$-label IRS, if the longest path is to be shorter than $D+\Theta({\frac{D}{\sqrt{M}}})$, at least $M=\Omega({\frac{n}{D}})$ labels per edge would be necessary.