Heuristic Based Planning Approach For Improving Wireless Network Coverage Of Multi-Storey Building

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Date
2011-08
Authors
Yeong, Shoa Yei
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Publisher
Universiti Sains Malaysia
Abstract
This thesis evaluates Wireless Local Area Network (WLAN), in terms of coverage, data rate, and overlapping co-channel interference. The aim of this research is to improve the WLAN coverage by implementing a wireless network planning simulation in multi-storey building. The work presented in this thesis was conducted on both on-site measurement and simulation. A modified theoretical path loss model was presented to estimate the path loss between the transmitter and receiver in the simulation. The results of empirical model were compared with the results of theoretical model and display them in the form of contour visualization. This design is limited to WLAN Access Points (APs) that operate at 2.4 and 5 Gigahertz (GHz) frequencies, supporting 802.11n standard. This research proposed a new approach to combine Artificial Intelligence (AI) using Adaptive Resonance Theory 1 (ART1) and Multi-Objective Genetic Algorithm (MOGA) for more effective channel assignments and better equipment placements of simulated APs. By means of this proposed approach, better solution for WLAN deployment can be achieved. From the simulation results, better coverage was achieved by deploying at least three APs, and the coverage value was increased from -85 Decibel Referenced to milliwatts (dBm) to -70 dBm and above for the test location (NAv6 laboratory), as compared to the original AP placement locations.
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Keywords
Improving wireless network coverage , multi-storey building
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