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Minimum-Energy Multicast Using Random Linear Network Coding

Authors: Ying Cai; Lina Zhang;

Minimum-Energy Multicast Using Random Linear Network Coding

Abstract

Conventional routing ways of wireless multicast advantage application in reduce energy consumption is generally used to establish a "minimum-energy multicast tree" to achieve the minimum energy multicast. However, the problem of constructing a minimum-energy multicast tree in a wireless ad hoc network is NP-hard. By using network coding, this problem is transformed into linear or convex programming problem. In this paper, we adopt the description of minimum-energy multicast proposed by Wu, and transform the methods proposed by Shuling Che, at last, get a random linear network coding model based on wireless multicast advantage to achieve the minimum-energy multicast. Thus, it can get a better information flow distribution, and the energy consumption of each bit under the layered model is minimized.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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