U.Sinthuja and R.Sridevi (2024) SELFISH CARRIER MONITORING IN WIFI USING DISTRIBUTED SNIFFERS. SELFISH CARRIER MONITORING IN WIFI USING DISTRIBUTED SNIFFERS. pp. 1-5. ISSN 2407.10997

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Abstract

This work proposes a tool to estimate the interference between nodes and links in a live wireless
network by passive monitoring of wireless traffic. This approach requires deploying multiple sniffers across the
network to capture wireless traffic traces. These traces are then analyzed using a machine learning approach to
infer the carrier-sense relationship between network nodes. It also demonstrates an important application of
this tool-detection of selfish carrier-sense behavior. This is based on identifying any asymmetry in carrier-sense
behavior between node pairs and finding multiple witnesses to raise confidence. Simulation results demonstrate
that the proposed approach of estimating interference relations is significantly more accurate than simpler
heuristics and quite competitive with active measurements. Minimizing router overhead taken as a main goal.

Item Type: Article
Uncontrolled Keywords: Interference, Distributed sniffers, Selfish node, Asymmetric Behavior, Router Overhead.
Divisions: PSG College of Arts and Science > Department of Computer Science
Depositing User: Mr Team Mosys
Date Deposited: 14 Aug 2024 08:02
Last Modified: 14 Aug 2024 08:02
URI: https://ir.psgcas.ac.in/id/eprint/2158

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