Greedy routing in small-world networks with power-law degrees - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue Distributed Computing Année : 2014

Greedy routing in small-world networks with power-law degrees

Résumé

In this paper we study decentralized routing in small-world networks that combine a wide variation in node degrees with a notion of spatial embedding. Specifically, we consider a variant of J. Kleinberg's grid-based small-world model in which (1) the number of long-range edges of each node is not fixed, but is drawn from a power-law probability distribution with exponent parameter α ≥ 0 and constant mean, and (2) the long-range edges are considered to be bidirectional for the purposes of routing. This model is motivated by empirical observations indicating that several real networks have degrees that follow a power-law distribution. The measured power-law exponent α for these networks is often in the range between 2 and 3. For the small-world model we consider, we show that when 2 < α < 3 the standard greedy routing algorithm, in which a node forwards the message to its neighbor that is closest to the target in the grid, finishes in an expected number of O(log^(α−1) n · log log n) steps, for any source–target pair. This is asymptotically smaller than the O(log^2 n) steps needed in Kleinberg's original model with the same average degree, and approaches O(log n) as α approaches 2. Further, we show that when 0 ≤ α < 2 or α ≥ 3 the expected number of steps is O(log^2 n), while for α = 2 it is O(log^(4/3) n). We complement these results with lower bounds that match the upper bounds within at most a log log n factor.
Fichier principal
Vignette du fichier
DIST14_sw.pdf (356.91 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01097141 , version 1 (19-12-2014)

Identifiants

Citer

Pierre Fraigniaud, George Giakkoupis. Greedy routing in small-world networks with power-law degrees. Distributed Computing, 2014, 27 (4), pp.231 - 253. ⟨10.1007/s00446-014-0210-y⟩. ⟨hal-01097141⟩
249 Consultations
241 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More