The Computer Journal
A note on the efficiency of an interval routing algorithm
The Computer Journal - Special issue on data structures
Fast distributed construction of small k-dominating sets and applications
Journal of Algorithms
On the Space Requirement of Interval Routing
IEEE Transactions on Computers
The complexity of shortest path and dilation bounded interval routing
Theoretical Computer Science
Theoretical Computer Science
Small k-Dominating Sets in Planar Graphs with Applications
WG '01 Proceedings of the 27th International Workshop on Graph-Theoretic Concepts in Computer Science
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Interval routing (IR) is a space-efficient routing method for computer networks. For longest routing path analysis, researchers have focused on lower bounds for many years. For any n-node graph G of diameter D, there exists an upper bound of 2D for IR using one or more labels, and an upper bound of ⌈3/2D⌉ for IR using O(√nlogn) or more labels. We present two upper bounds in the first part of the paper. We show that for every integer i 0, every n-node graph of diameter D has a k-dominating set of size O(i+1√n) for k ≤ (1 - 1/3i)D. This result implies a new upper bound of ⌈(2 - 1/3i)D⌉ for IR using O(i+1√n) or more labels, where i is any positive integer constant. We apply the result by Kutten and Peleg [7] to achieve an upper bound of (1 + α)D for IR using O(n/D) or more labels, where α is any constant in (0, 1). The second part of the paper offers some lower bounds for planar graphs. For any M-label interval routing scheme (M-IRS), where M = O(3√n), we derive a lower bound of [(2M + 1)/(2M)]D - 1 on the longest path for M = O(√n), and a lower bound of [(2(1 + δ)M + 1)/(2(1 + δ)M)]D, where δ ∈ (0, 1], for M = O(√n). The latter result implies a lower bound of Ω(√n) on the number of labels needed to achieve optimality.