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Optimizing wireless network protocols using real-time predictive propagation modeling

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4 Author(s)
Punnoose, R.J. ; Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA ; Nikitin, P.V. ; Broch, J. ; Stancil, D.D.

A common feature of all wireless mobile data networks is the dynamic nature of the propagation environment. Our work introduces a new level of intelligence into wireless networks by creating a real-time prediction model that runs independently on each mobile node. Such a prediction can assist the routing protocol in making hand-offs or in choosing the best route to a destination, taking into account future RF propagation conditions

Published in:
Radio and Wireless Conference, 1999. RAWCON 99. 1999 IEEE

Date of Conference: 1999

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