Title :
Solve tree setup-break problem and minimize control overhead in delay-bounded distributed wireless multicast QoS routing
Author :
Liang, Ying-Hsin ; Chang, Ben-Jye ; Lin, Yan-Min
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nan Kai Univ. of Technol., Nantou, Taiwan
Abstract :
In wireless networks, the multicast QoS routing is a key technique to increase bandwidth utilization, but the multicast routing is typically complicated and difficult because it belongs to the NP-complete problem. The main goal of a delay-bounded wireless multicast algorithm is to determine the optimal multicast tree that has the least cost while satisfying the delay-bounded requirement. However, previous studies suffer from the Tree setup-break and dangling node problems, and yield a large number of control messages. This paper thus proposes the adaptive distributed multicast routing (ADMR) algorithm to guarantee cycle-free, and to overcome these two problems while yielding the least-cost delay-bounded multicast tree for high-density member multicast networks. Numerical results indicate that ADMR significantly outperforms the Jia-based algorithms in number of control messages and setup convergent time.
Keywords :
multicast communication; quality of service; radio networks; telecommunication network routing; trees (mathematics); ADMR algorithm; NP-complete problem; adaptive distributed multicast routing; bandwidth utilization; dangling node problem; delay-bounded distributed QoS routing; optimal multicast tree; tree setup-break problem; wireless multicast QoS routing; wireless network; Delay; Distributed algorithms; Multimedia communication; Quality of service; Receivers; Routing; Steiner trees; Dangling nodes; delay-bounded multicast routing; distributed multicast; minimum Steiner tree; the tree setup-break problem;
Conference_Titel :
Quality of Service (IWQoS), 2011 IEEE 19th International Workshop on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4577-0104-7
Electronic_ISBN :
1548-615X
DOI :
10.1109/IWQOS.2011.5931318