Fuzzy Logic based Channel Selection Algorithm for Wireless Mesh Networks

Abstract

IEEE 802.11 Wireless Mesh Networks are used widely in commercial and civilian applications. Most importantly, wireless mesh networks are used as last-mile broadband Internet access technology so that user can experience wireless broadband high-speed Internet connectivity. Usually, a router in wireless mesh network has at least two radio interfaces: access interface and routing interface. As the radio spectrum has limited number of orthogonal channels, the two radio interfaces must be assigned with channels having low interference and maximal non-overlapping frequency to improve the network performance. This paper proposes a new scheme of channel allocation based on fuzzy logic for wireless mesh networks. A mesh router uses four parameters: channel access delay, signal to interference ratio, link bandwidth and hop count from gateway node to rate the channels and the router selects a best channel in improving the user quality access. Through the simulation results, it is observed that the proposed scheme is scalable and has a significant performance.

A Fuzzy Rule-Based Approach for Automatic Irrigation System through Controlled Soil Moisture Measurement

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