An Adaptive Received Signal Strength Prediction Model for a Layer 2 Trigger Generator in a WLAN System


The KIPS Transactions:PartC, Vol. 14, No. 3, pp. 305-312, Jun. 2007
10.3745/KIPSTC.2007.14.3.305,   PDF Download:

Abstract

In this paper, we present a received signal strength (RSS) prediction model to timely initiate link layer triggers for fast handoff in a wireless LAN system. Noting that the distance between a mobile terminal and an access point is not changed abruptly in a short time interval, an adaptive RSS predictor based on a stationary time series model is proposed. RSS data obtained from ns-2 simulations are used to identity the time series model and verify the predictability of the RSS data. The results suggest that an autoregressive process of order 1 (AR(1)) can be used to represent the measured RSSs in a short time interval and predict at least 1-step ahead RSS with a high confidence level.


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Cite this article
[IEEE Style]
J. S. Park, Y. J. Lim, B. J. Kim, "An Adaptive Received Signal Strength Prediction Model for a Layer 2 Trigger Generator in a WLAN System," The KIPS Transactions:PartC, vol. 14, no. 3, pp. 305-312, 2007. DOI: 10.3745/KIPSTC.2007.14.3.305.

[ACM Style]
Jae Sung Park, Yu Jin Lim, and Beom Joon Kim. 2007. An Adaptive Received Signal Strength Prediction Model for a Layer 2 Trigger Generator in a WLAN System. The KIPS Transactions:PartC, 14, 3, (2007), 305-312. DOI: 10.3745/KIPSTC.2007.14.3.305.