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In this paper we apply a generalized approach for practical Network Coding (NC) called Multi-Generation Mixing (MGM) in networks communicating scalable video contents. NC has been a viable approach of communication in packet loss networks. On the other hand NC losses are expensive. NC losses reduce the ability of receiver to decode packets, and hence may severely degrade the quality of recovered video...
Improvements in emerging practical network coding methods, such as multi-generation Mixing (MGM), can be attributed to two arguably independent factors: (1) An intrinsic factor that is due to the cooperation among intermediate (propagating) nodes in mixing traffic received through multiple routing paths. (2) An extrinsic factor that is due to the level of reliability provided by network coding from...
In this paper, we evaluate the priority transmission characteristic of network coding (NC) with multi-generation mixing (MGM). MGM supports priority transmission by providing enhanced reliability for delivering different groups of sender packets. MGM is a generalized approach for practical network coding that enhances its performance. With MGM, sender packets are grouped in generations that constitute...
Network Coding (NC) is an emerging networking approach that improves overall throughput over packet networks. Meanwhile, traditional NC approaches have limited advantages under certain network conditions, such as sparse connectivity and high losses; this is especially true for real-time applications. In this paper, we propose and analyze a generalized approach of network coding, which is based on...
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...
Connectivity, losses, and buffering are factors that directly affect the performance of network coding. These factors affect the ability of intermediate nodes to generate useful encodings; these are encodings that contribute in propagating and recovering data at receiver node(s). It has been shown that in particular scenarios network coding performance can be improved by simply increasing the generation...
In this paper, we develop a joint network coding (NC)-channel coding error-resilient sensor-network approach that performs in-network processing based on channel code design (INPoD). INPoD represents a major development of an underlying framework for designing code-on-network-graph (CNG). CNG (and hence INPoD) maps variable nodes of low density parity check (LDPC) codes onto sensor nodes, and consequently...
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