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Message-passing algorithms for link monitoring

Authors: Giancarlo Pastor; Inmaculada Mora-Jiménez; Eduardo Morgado; Antonio J. Caamaño;

Message-passing algorithms for link monitoring

Abstract

Given the high uncertainty in the dynamics of Wireless Sensor Networks (WSN), it is essential to monitor the Quality-of-Service metrics in order to find the links with poor characteristics. This would allow to implement fault-tolerant protocols to reroute the control packets and avoid zones with untrusted links. However, network monitoring is not used as a permanent analysis tool. This is due both to the conventional use of highly-complex inference algorithms and active approaches such as injection of probing packets. In this paper, we introduce a tree-graph representation for WSN with a general topology, and also suitable for link parameters inference problems. Factor Graphs and the Sum-Product algorithm are considered to develop low complexity schemes for permanent and passive monitoring of multiple link parameters such as Link Loss Rate, Link Error Rate and Link Delay.

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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!
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