Distance Labeling Schemes for Trees

نویسندگان

  • Stephen Alstrup
  • Inge Li Gørtz
  • Esben Bistrup Halvorsen
  • Ely Porat
چکیده

We consider distance labeling schemes for trees: given a tree with n nodes, label the nodes with binary strings such that, given the labels of any two nodes, one can determine, by looking only at the labels, the distance in the tree between the two nodes. A lower bound by Gavoille et al. [Gavoille et al., J. Alg., 2004] and an upper bound by Peleg [Peleg, J. Graph Theory, 2000] establish that labels must use Θ(log2 n) bits1. Gavoille et al. [Gavoille et al., ESA, 2001] show that for very small approximate stretch, labels use Θ(logn log logn) bits. Several other papers investigate various variants such as, for example, small distances in trees [Alstrup et al., SODA, 2003]. We improve the known upper and lower bounds of exact distance labeling by showing that 1 4 log 2 n bits are needed and that 2 log 2 n bits are sufficient. We also give (1 + ε)-stretch labeling schemes using Θ(logn) bits for constant ε > 0. (1 + ε)-stretch labeling schemes with polylogarithmic label size have previously been established for doubling dimension graphs by Talwar [Talwar, STOC, 2004]. In addition, we present matching upper and lower bounds for distance labeling for caterpillars, showing that labels must have size 2 logn−Θ(log logn). For simple paths with k nodes and edge weights in [1, n], we show that labels must have size (k − 1)/k logn+ Θ(log k). 1998 ACM Subject Classification E.1 Distributed data structures, E.1 Graphs and networks, G.2.2 Graph Theory

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimal Distance Labeling Schemes for Trees

Labeling schemes seek to assign a short label to each node in a network, so that a function on two nodes (such as distance or adjacency) can be computed by examining their labels alone. For the particular case of trees, following a long line of research, optimal bounds (up to low order terms) were recently obtained for adjacency labeling [FOCS ’15], nearest common ancestor labeling [SODA ’14], ...

متن کامل

Labeling Schemes for Weighted Dynamic Trees

A Distance labeling scheme is a type of localized network representation in which short labels are assigned to the vertices, allowing one to infer the distance between any two vertices directly from their labels, without using any additional information sources. As most applications for network representations in general, and distance labeling schemes in particular, concern large and dynamicall...

متن کامل

Approximate Distance Labeling Schemes

We consider the problem of labeling the nodes of an n-node graph G with short labels in such a way that the distance between any two nodes u, v of G can be approximated efficiently (in constant time) by merely inspecting the labels of u and v, without using any other information. We develop such constant approximate distance labeling schemes for the classes of trees, bounded treewidth graphs, p...

متن کامل

Informative Labeling Schemes for the Least Common Ancestor Problem

We address the problem of labeling the nodes of a tree such that one can determine the identifier of the least common ancestor of any two nodes by looking only at their labels. This problem has application in routing and in distributed computing in peer-to-peer networks. A labeling scheme using Θ(log n)-bit labels has been presented by Peleg. By engineering this scheme and a new one due to the ...

متن کامل

Labeling Schemes for Bounded Degree Graphs

We investigate adjacency labeling schemes for graphs of bounded degree ∆ = O(1). In particular, we present an optimal (up to an additive constant) log n+ O(1) adjacency labeling scheme for bounded degree trees. The latter scheme is derived from a labeling scheme for bounded degree outerplanar graphs. Our results complement a similar bound recently obtained for bounded depth trees [Fraigniaud an...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016