DocumentCode :
2527872
Title :
Optimized Multipath Network Coding in Lossy Wireless Networks
Author :
Zhang, Xinyu ; Li, Baochun
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON
fYear :
2008
fDate :
17-20 June 2008
Firstpage :
243
Lastpage :
250
Abstract :
Network coding has been a prominent approach to a series of problems that used to be considered intractable with traditional transmission paradigms. Recent work on network coding includes a substantial number of optimization based protocols, but mostly for wireline multicast networks. In this paper, we consider maximizing the benefits of network coding for unicast sessions in lossy wireless environments. We propose Optimized Multipath Network Coding (OMNC), a rate control and routing protocol that dramatically improves the throughput of lossy wireless networks. OMNC employs multiple paths to push coded packets to the destination, and uses the broadcast MAC to deliver packets between neighboring nodes. The coding and broadcast rate is allocated to transmitters by a distributed optimization algorithm that maximizes the advantage of path diversity while avoiding congestion. With extensive experiments on an emulation testbed, we find that OMNC achieves significant throughput improvement over traditional best path routing protocols, and existing multipath routing protocols with network coding.
Keywords :
encoding; multicast communication; optimisation; radio networks; routing protocols; distributed optimization; lossy wireless networks; optimization based protocol; optimized multipath network coding; path diversity; rate control; routing protocol; unicast sessions; wireline multicast networks; Broadcasting; Emulation; Multicast protocols; Network coding; Routing protocols; Testing; Throughput; Transmitters; Unicast; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems, 2008. ICDCS '08. The 28th International Conference on
Conference_Location :
Beijing
ISSN :
1063-6927
Print_ISBN :
978-0-7695-3172-4
Electronic_ISBN :
1063-6927
Type :
conf
DOI :
10.1109/ICDCS.2008.45
Filename :
4595889
Link To Document :
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