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Viewing report
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Deliver more for less Energy. Edition No. 1
VDM Publishing House, April 2008, Pages: 128
Most existing MANET Proactive routing protocols rely heavily on hop
count evaluation. Although this is simple and efficient, it sacrifices
the potential performance gains obtainable by considering dynamic
network conditions such as congestion levels and link stability.
Remedies of this issue have been presented by considering various
predictive dynamic routing metrics mostly related to bandwidth and
energy consumption. However, those predictions do not fully appreciate
the nonstationary nature of the dynamic routing metrics and possible
heterogeneous power consumption of the nodes. With these added
concerns, in this work, in-depth investigation is conducted on
prediction and evaluation of dynamic routing metrics including queuing
delay, energy cost, and link stability. Artificial neural network models
and advanced statistical methods are used for prediction of these
metrics. Queuing delay and energy cost are investigated individually
and then evaluated compositively togeth
er with predicted link stability. Their effects on multiple routing
objectives are extensively simulated and analyzed.
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