Kunz: Accurately Predicting Residual Energy Levels in MANETs
Increasing Accuracy: Predict
,Basic
idea: adjust reported values by a consumption rate to predict current residual energy level (rather
than using potentially
“old” information) when making routing
decisions
,How to
derive “consumption rate”?
–Basic
prediction: assume A learns that
,At time
4, B’s residual energy was 17
,At time
6, B’s residual energy was 13
A calculates B’s consumption rate as 2/unit time, so at
time 7, A will predict
that B’s residual energy level is 11. Requires at least 2 successive reports
–Advanced
prediction: enhanced basic prediction – in
the absence of a second report,
use average of all known consumption rates for adjustment
