By Topic

The cluster density of a distributed clustering algorithm in ad hoc networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Bettstetter, C. ; Inst. of Commun. Networks, Technische Univ. Munchen, Munich, Germany

Given is a wireless multihop network whose nodes are randomly distributed according to a homogeneous Poisson point process of density ρ (in nodes per unit area). The network employs Basagni's distributed mobility-adaptive clustering (DMAC) algorithm to achieve a self-organizing network structure. We show that the cluster density, i.e., the expected number of cluster- heads per unit area, is ρc= ρ÷(1+μ÷2), where μ denotes the expected number of neighbors of a node. Consequently, a clusterhead is expected to incorporate half of its neighboring nodes into its cluster. This result also holds in a scenario with mobile nodes and serves as a bound for inhomogeneous spatial node distributions.

Published in:

Communications, 2004 IEEE International Conference on  (Volume:7 )

Date of Conference:

20-24 June 2004