Discrete Mathematics - Topics on domination
Locality in distributed graph algorithms
SIAM Journal on Computing
On calculating connected dominating set for efficient routing in ad hoc wireless networks
DIALM '99 Proceedings of the 3rd international workshop on Discrete algorithms and methods for mobile computing and communications
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
An efficient distributed algorithm for constructing small dominating sets
Distributed Computing - Special issue: Selected papers from PODC '01
Ad-hoc networks beyond unit disk graphs
DIALM-POMC '03 Proceedings of the 2003 joint workshop on Foundations of mobile computing
An Extended Localized Algorithm for Connected Dominating Set Formation in Ad Hoc Wireless Networks
IEEE Transactions on Parallel and Distributed Systems
Constant-time distributed dominating set approximation
Distributed Computing
Ad-Hoc, Mobile, and Wireless Networks: Third International Conference, ADHOC-NOW 2004, Vancouver, Canada, July 22-24, 2004, Proceedings (Lecture Notes in Computer Science)
LATIN'08 Proceedings of the 8th Latin American conference on Theoretical informatics
Hi-index | 0.00 |
A quasi-unit disk graph has been used as a realistic model of an ad-hoc or a sensor wireless network. A wireless ad-hoc network is location aware if each node knows its geographic coordinates. Some network backbones proposed for data gathering in a wireless network are based on dominating sets of the network graph. The location awareness of ad-hoc networks corresponding to unit disk graph was used in [6] to obtain a local algorithm for a dominating set of a unit disk graph. In this paper we generalize this algorithm to location aware ad-hoc networks corresponding to quasi-unit graphs. The competitive ratio of the algorithm is determined for several ranges of the parameter r of an r--quasi-unit disk graph. For each range of r the competitive ratio is shown to be a constant value. An experimental evaluation of the algorithm is also carried out, which confirms very good performance of our algorithm.