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Effective Provisioning in Multi-Interface Multi-Channel Wireless Mesh Networks

Title:

Effective Provisioning in Multi-Interface Multi-Channel Wireless Mesh Networks

Boroomand, Ghazaleh (2022) Effective Provisioning in Multi-Interface Multi-Channel Wireless Mesh Networks. Masters thesis, Concordia University.

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Abstract

Wireless Mesh Network (WMN) is a network communication technology that can provide high coverage and consistency using multihop communication features. Operating various applications in parallel on WMNs implies the need for improvement in the network’s performance, where capacity is one of the most significant factors. Multi-Interface
Multi-Channel (MIMC) networks, a type of WMN, can increase overall network capacity by using several interfaces and channels simultaneously. However, employing many channels at once poses the problem of selecting suitable channels and interfaces for links
while avoiding interference and efficiently utilizing the resources. The majority of MIMC WMN used the same type of wireless technology as their interfaces and a limited number of non-overlapping channels to reduce the likelihood of network interference. This thesis investigates the MIMC WMN provisioning problem by using three widely used wireless technologies: WiFi, Bluetooth, and Zigbee, with all their channels in the 2.4 GHz spectrum. To assess interference among links, we use a conflict graph for all channels of the three technologies. Furthermore, we formulate a joint interference-aware routing, Interface
Assignment (IA), and Channel Assignment (CA) scheme using Integer Linear Programming (ILP) for both static and dynamic traffic, aiming to maximize the overall throughput considering bandwidth and latency requirements of requests. We use the Gurobi solver to implement the models and conduct a series of experiments in both cases. The numerical studies demonstrate that using various wireless technologies and properly managing channels leads to improved performance in terms of throughput while preventing interference and transmitting heavy real-time data.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Masters)
Authors:Boroomand, Ghazaleh
Institution:Concordia University
Degree Name:M. Comp. Sc.
Program:Computer Science
Date:8 December 2022
Thesis Supervisor(s):Jaumard, Brigitte and Khoa Nguyen, Kim
ID Code:991462
Deposited By: Ghazaleh Boroomand
Deposited On:21 Jun 2023 14:42
Last Modified:21 Jun 2023 14:42
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