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Improving the reliability of wireless body area networks

Authors: Gabriel E. Arrobo; Richard D. Gitlin;

Improving the reliability of wireless body area networks

Abstract

In this paper we propose a highly reliable wireless body area network (WBAN) that provides increased throughput and avoids single points of failure. Such networks improve upon current WBANs by taking advantage of a new technology, Cooperative Network Coding (CNC). Using CNC in wireless body area network to support real-time applications is an attractive solution to combat packet loss, reduce latency due to retransmissions, avoid single points of failure, and improve the probability of successful recovery of the information at the destination. In this paper, we have extended Cooperative Network Coding, from its original configuration (one-to-one) to many-to-many as in multiple-input-multiple-output (MIMO) systems. Cooperative Network Coding results in increased throughput and network reliability because of the cooperation of the nodes in transmitting coded combination packets across spatially distinct paths to the information sinks.

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Keywords

Equipment Failure Analysis, Computer Communication Networks, Computer Systems, Information Storage and Retrieval, Monitoring, Ambulatory, Reproducibility of Results, Telemetry, Signal Processing, Computer-Assisted, Equipment Design, Sensitivity and Specificity

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
42
Top 10%
Top 10%
Top 10%
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