Publication Type
Conference Proceeding Article
Version
submittedVersion
Publication Date
6-2008
Abstract
This paper studies probabilistically reliable multicast in wireless mesh networks (WMNs), utilizing MAC layer re-transmission and wireless broadcast advantage to improve both the multicast throughput and the delivery rate. We first present a new multicast routing metric which we call the expected multicast transmissions (EMT). EMT captures the effect of link packet delivery ratio, MAC layer retransmission and wireless broadcast advantage at the same time. The EMT of a MAC layer multicast transmission is the expected number of data transmissions (including retransmissions) required for a packet to reach all the recipients. The EMT of a multicast tree is the sum over the EMT of each forwarding node. Then, we propose a probabilistically reliable on-demand (PROD) multicast protocol with the objective of minimizing the EMT of the multicast tree. Simulation results show that, in comparison with existing approaches, PROD reduces the end-to-end packet loss ratio by up to 30% and improves the multicast throughput by up to 25%. In addition, it reduces the number of transmissions per packet by up to 40% and thus significantly reduces the network overhead of the multicast session.
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
International Symposium on a World of Wireless, Mobile and Multimedia Networks: WoWMoM 2008, Newport Beach, CA, 23-26 June
First Page
1
Last Page
9
ISBN
9781424421008
Identifier
10.1109/WOWMOM.2008.4594844
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
ZHAO, Xin; CHOU, Chun Tung; GUO, Jun; JHA, Sanjay; and MISRA, Archan.
Probabilistically Reliable On-Demand Multicast in Wireless Mesh Networks. (2008). International Symposium on a World of Wireless, Mobile and Multimedia Networks: WoWMoM 2008, Newport Beach, CA, 23-26 June. 1-9.
Available at: https://ink.library.smu.edu.sg/sis_research/677
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/WOWMOM.2008.4594844