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Advisor(s)
Abstract(s)
Reliability of communications is key to expand application domains
for sensor networks. SinceWireless Sensor Networks (WSN)
operate in the license-free Industrial Scientific and Medical (ISM)
bands and hence share the spectrum with other wireless technologies,
addressing interference is an important challenge. In order to
minimize its effect, nodes can dynamically adapt radio resources
provided information about current spectrum usage is available.
We present a new channel quality metric, based on availability
of the channel over time, which meaningfully quantifies spectrum
usage. We discuss the optimum scanning time for capturing the
channel condition while maintaining energy-efficiency. Using data
collected from a number of Wi-Fi networks operating in a library
building, we show that our metric has strong correlation with the
Packet Reception Rate (PRR). This suggests that quantifying interference
in the channel can help in adapting resources for better
reliability. We present a discussion of the usage of our metric for
various resource allocation and adaptation strategies.
Description
Keywords
Channel quality Interference ISMBands Dynamic Resource Adaptation Wireless sensor networks