Minimizing Information Asymmetry Interference using Optimal Channel Assignment Strategy in Wireless Mesh Networks
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 1
Abstract
Multi-radio multi-channel wireless mesh networks (MRMC-WMNs) in recent years are considered as the prioritized choice for users due to its low cost and reliability. MRMC-WMNs is recently been deployed widely across the world but still these kinds of networks face interference problems among WMN links. One of the well-known interference issue is information asymmetry (IA). In case of information asymmetry interference the source mesh nodes of different mesh links cannot sense each other before transmitting data on the same frequency channel. This non-coordination leads to data collision and packet loss of data flow and hence degrades the network capacity. To maximize the MRMC-WMN capacity and minimize IA interference, various schemes for optimal channel assignment have been proposed already. In this research a novel and near-optimal channel assignment model called Information Asymmetry Minimization (IAM) model is proposed based on integer linear programming. The proposed IAM model optimally assigns orthogonal or non-overlapping channels from IEEE 802.11b technology to various MRMC-WMN links. Through extensive simulations we show that our proposed model gives 28.31% network aggregate network capacity improvement over the existing channel assignment model.
Authors and Affiliations
Gohar Rahman, Chuah Chai Wen, Sadiq Shah, Misbah Daud
Keywords
Related Articles
- EP ID EP448687
- DOI 10.14569/IJACSA.2019.0100112
- Views 123
- Downloads 0
A Genetic Programming based Algorithm for Predicting Exchanges in Electronic Trade using Social Networks’ Data
Purpose of this paper is to use Facebook dataset for predicting Exchanges in Electronic business. For this purpose, first a dataset is collected from Facebook users and this dataset is divided into two training and test...
Recognition of Facial Expression Using Eigenvector Based Distributed Features and Euclidean Distance Based Decision Making Technique
In this paper, an Eigenvector based system has been presented to recognize facial expressions from digital facial images. In the approach, firstly the images were acquired and cropping of five significant portions from t...
Robust Fuzzy-Second Order Sliding Mode based Direct Power Control for Voltage Source Converter
This paper focuses on a second order sliding mode based direct power controller (SOSM-DPC) of a three-phase grid-connected voltage source converter (VSC). The proposed control scheme combined with fuzzy logic aims at reg...
: An Approach to Improve the Representation of the User Model in the Web-Based
A major shortcoming of content-based approaches exists in the representation of the user model. Content-based approaches often employ term vectors to represent each user’s interest. In doing so, they ignore t...
Recognition and Classification of Power Quality Disturbances by DWT-MRA and SVM Classifier
Electrical power system is a large and complex network, where power quality disturbances (PQDs) must be monitored, analyzed and mitigated continuously in order to preserve and to re-establish the normal power supply with...