DocumentCode
3560782
Title
Cluster-Based Back-Pressure Routing Algorithm
Author
Ying, Lei ; Srikant, R. ; Towsley, Don ; Liu, Shihuan
Author_Institution
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
Volume
19
Issue
6
fYear
2011
Firstpage
1773
Lastpage
1786
Abstract
The back-pressure algorithm introduced in 1992 by Tassiulas and Ephremides is a well-known distributed and adaptive routing/scheduling algorithm where nodes only need the queue-length information of neighboring nodes to make routing decisions. Packets are adaptively routed in the network according to congestion information, which makes the algorithm resilient to traffic and topology changes. However, the back-pressure algorithm requires routers to maintain a separate queue for each destination, which precludes its implementation in large-scale networks. In this paper, we propose a distributed cluster-based back-pressure routing algorithm that retains the adaptability of back-pressure routing while significantly reducing the number of queues that have to be maintained at each node.
Keywords
distributed algorithms; pattern clustering; queueing theory; telecommunication congestion control; telecommunication network routing; telecommunication network topology; telecommunication traffic; adaptive packet routing; adaptive routing-scheduling algorithm; back-pressure routing adaptability; distributed cluster-based back-pressure routing algorithm; distributed routing-scheduling algorithm; large-scale networks; neighboring node queue-length information; network congestion information; network topology; routing decision making; telecommunication traffic; Clustering algorithms; Internet; Logic gates; Regulators; Routing; Routing protocols; Wireless networks; Back-pressure algorithm; clustering; distributed and adaptive routing; throughput-optimal;
fLanguage
English
Journal_Title
Networking, IEEE/ACM Transactions on
Publisher
ieee
Conference_Location
4/29/2011 12:00:00 AM
ISSN
1063-6692
Type
jour
DOI
10.1109/TNET.2011.2141682
Filename
5759110
Link To Document