Un mecanismo basado en CART para la detección de colisiones en IEEE 802.11 (A CART Based Mechanism for Collision Detection in IEEE 802.11)

Muhammad Aman (naveed.aman@nu.edu.pk), Biplab Sikdar (bsikdar@ecse.rpi.edu)

Rensselaer Polytechnic Institute
This paper appears in: Revista IEEE América Latina

Publication Date: May 2013
Volume: 11,   Issue: 3 
ISSN: 1548-0992

The ability to detect and distinguish packet errors due to collisions from those caused by channel errors can significantly impact the performance of medium access control (MAC) protocols such as IEEE 802.11. In particular, such mechanisms affect the backoff mechanism as well as rate adaptation algorithms. This paper presents a real-time algorithm based on classification and regression trees (CART) for distinguishing packet corruption and losses due to channel errors from those caused by collisions with other simultaneous transmissions. Using a set of four metrics, we propose a classifier tree that reduces the classification errors by considering the impact of channel variations and collisions on bit errors from multiple, disparate perspectives. Extensive simulation results are used to verify the superior performance of the proposed technique over existing mechanisms.

Index Terms:
Wireless Networks, Collision Detection, IEEE 802.11, Local Area Networks   

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