Benchmarking latency effects on mobility tracking in WSN

The number of active nodes in a WSN deployment
governs both the longevity of the network and the accuracy
of applications using the network’s data. As node
hibernation techniques become more sophistocated, it
is important that an accurate evaluation methodology
is employed to ensure fair comparisons across different
techniques. Examining both energy and accuracy
ensures a claim of increased longevity for a particular
technique can be contrasted against its associated
drop, if any, in application accuracy. This change can
also be as a result of increased latency and the accuracy
encapsulates many aspects of WSN performance
in one metric. In this work, we detail the first in a series
of experiments designed to demonstrate the tradeoffs
for a WSN and we employ mobility tracking as
the application to benchmark accuracy. Additionally,
we demonstrate experimental evidence for a potential
adaptive mobility tracking protocol.