Natural growth codes: Partial recovery under random network coding
Karande, S.
Misra, K.
Radha, H.
Michigan State Univ., East Lansing, MI;
This paper appears in: Information Sciences and Systems, 2008. CISS 2008. 42nd Annual Conference on
Publication Date: 19-21 March 2008
On page(s): 540-544
Location: Princeton, NJ,
ISBN: 978-1-4244-2246-3
INSPEC Accession Number: 10073675
Digital Object Identifier: 10.1109/CISS.2008.4558584
Current Version Published: 2008-07-09
Abstract
Growth codes (GC) improve the disruption tolerance of zero-configuration sensor networks by providing graceful data recovery. Here, we highlight the existence of periphery monitoring topologies which are conducive for graceful recovery. In such networks, the performance of random network coding (RNC) is observed to be superior to that of GCs. RNC increases the data persistence, while maintaining a lower delay.
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