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  1. Proceedings of the 7th ACM ACM SIGACT/SIGMOBILE International Workshop on Foundations of Mobile Computing (FOMC '11)
  2. Wireless network coding: invited talk
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Mining and modeling large scale cell phone data: invited talk
Wireless network coding: invited talk
Faster and better the promise of dynamic spectrum access: invited talk
Passively mobile communicating machines that use restricted space
Answer-pairs and processing of continuous nearest-neighbor queries
Undirected connectivity of sparse Yao graphs
Low complexity set reconciliation using Bloom filters
MAC design for analog network coding
Optimal regional consecutive leader election in mobile ad-hoc networks
Energy efficient data gathering in multi-hop hierarchical wireless ad hoc networks
Time-optimal information exchange on multiple channels

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Invited Talk Abstracts

Article

Wireless network coding: invited talk

Content Provider ACM Digital Library
Author Katti, Sachin
Abstract Wireless is becoming the preferred mode of network access. The performance of wireless networks in practice, however, is hampered due to the harsh characteristics of the wireless medium: its shared broadcast nature, interference, and high error rate. Traditionally, network designers have viewed these characteristics as problematic, and tried to work around them. In this talk, I will show how we can turn these challenges into opportunities that we exploit to significantly improve performance. To do so, we use a simple yet fundamental shift in network design. We allow routers to "mix" (i.e., code) packets' content before forwarding them. I will describe three algorithms and system designs, COPE, ANC and MIXIT, which exploit this network coding functionality via novel algorithms to provide large practical gains. In this talk, I will discuss COPE and ANC; COPE exploits wireless broadcast, while ANC exploits strategic interference to improve throughput.
Starting Page 4
Ending Page 4
Page Count 1
ISBN 9781450307796
DOI 10.1145/1998476.1998478
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2011-06-09
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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