DocumentCode
1083293
Title
An extended localized algorithm for connected dominating set formation in ad hoc wireless networks
Author
Dai, Fei ; Wu, Jie
Author_Institution
Dept. of Comput. Sci. & Eng., Florida Atlantic Univ., Boca Raton, FL, USA
Volume
15
Issue
10
fYear
2004
Firstpage
908
Lastpage
920
Abstract
Efficient routing among a set of mobile hosts is one of the most important functions in ad hoc wireless networks. Routing based on a connected dominating set is a promising approach, where the search space for a route is reduced to the hosts in the set. A set is dominating if all the hosts in the system are either in the set or neighbors of hosts in the set. The efficiency of dominating-set-based routing mainly depends on the overhead introduced in the formation of the dominating set and the size of the dominating set. In this paper, we first review a localized formation of a connected dominating set called marking process and dominating-set-based routing. Then, we propose a dominant pruning rule to reduce the size of the dominating set. This dominant pruning rule (called Rule k) is a generalization of two existing rules (called Rule 1 and Rule 2, respectively). We prove that the vertex set derived by applying Rule k is still a connected dominating set. Rule k is more effective in reducing the dominating set derived from the marking process than the combination of Rules 1 and 2 and, surprisingly, in a restricted implementation with local neighborhood information, Rule k has the same communication complexity and less computation complexity. Simulation results confirm that Rule k outperforms Rules 1 and 2, especially in networks with relatively high vertex degree and high percentage of unidirectional links. We also prove that an upper bound exists on the average size of the dominating set derived from Rule k in its restricted implementation.
Keywords
ad hoc networks; communication complexity; graph theory; probability; search problems; set theory; telecommunication network routing; wireless LAN; ad hoc wireless networks; communication complexity; dominant pruning rule; dominating sets; localized formation; network routing; probabilistic analysis; search space; simulation; Ad hoc networks; Analytical models; Complexity theory; Computational modeling; Energy states; Intelligent networks; Maintenance; Routing protocols; Upper bound; Wireless networks; 65; Ad hoc wireless networks; dominant pruning; dominating sets; probabilistic analysis; routing; simulation.;
fLanguage
English
Journal_Title
Parallel and Distributed Systems, IEEE Transactions on
Publisher
ieee
ISSN
1045-9219
Type
jour
DOI
10.1109/TPDS.2004.48
Filename
1327595
Link To Document