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Ad hoc wireless network traffic-self-similarity and forecasting

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1 Author(s)
Qilian Liang ; Hughes Network Syst. Inc, San Diego, CA, USA

Lots of works have been carried out to discuss the self-similarity of Ethernet and World Wide Web traffic. In this letter, we study the ad hoc wireless network traffic collected in an ad hoc network (AHN) testbed and show that the ad hoc wireless network traffic is self-similar, which validates that AHN traffic is forecastable because self-similar time-series can be forecasted. We apply a fuzzy logic system to ad hoc wireless network traffic forecasting and simulation results show that it performs much better than does an LMS adaptive filter. All these studies are very important for evaluating network capacity and determining the battery power mode based on the forecasted traffic workload.

Published in:

IEEE Communications Letters  (Volume:6 ,  Issue: 7 )