Abstract Proceedings of ICIRESM – 2020
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ON QUALITY OF MONITORING FOR MULTI-CHANNEL WIRELESS INFRASTRUCTURE NETWORKS
Passive monitoring is an effective technique to monitor activities in wireless infrastructure networks for fault diagnosis, resource management, and critical path analysis. This paper proposes a quality of monitoring (QOM) metric defined by the expected number of active users monitored. The problem of maximizing QOM by judiciously assigning sniffers to channels based on the knowledge of user activities in a multi-channel wireless network is investigated. Two types of capture models are considered: The user-centric model assumes frame-level capturing capability of sniffers such that the activities of different users can be distinguished. The niffer-centric model only utilizes the binary channel information (active or not) at a sniffer. For the user-centric model, the implied optimization problem is NP-hard but a constant approximation ratio can be attained via polynomial complexity algorithms. For the sniffer-centric model, stochastic inference schemes are devised to transform the problem into the user-centric domain, where the polynomial approximation algorithms can be applied. The effectiveness of the proposed schemes and algorithms is further evaluated with the help of IP trace back algorithm. Privacy can be achieved with the help of dissemination message.
passive monitoring, quality of monitoring, multi-channel wireless networks, sniffers, user-centric model, sniffer-centric model, approximation algorithms, IP trace back algorithm, privacy
13/11/2020
176
20176
IMPORTANT DAYS
Paper Submission Last Date
October 20th, 2024
Notification of Acceptance
November 7th, 2024
Camera Ready Paper Submission & Author's Registration
November 1st, 2024
Date of Conference
November 15th, 2024
Publication
January 30th, 2025