A wireless network consists of a set of wireless nodes forming the network. The bandwidth allocationscheme used in wireless networks should automatically adapt to the network’s environments, where issuessuch as mobility are highly variable. This paper proposes a method to distribute the bandwidth for wirelessnetwork nodes depending on dynamic methodology;this methodology uses intelligent clustering techniquesthat depend on the student’s distribution at the university campus, rather than the classical allocationmethods. We propose a clustering-based approach to solve the dynamic bandwidth allocation problem inwireless networks, enabling wireless nodes to adapt their bandwidth allocation according to the changingnumber of expected users over time. The proposed solution allows the optimal online bandwidth allocationbased on the data extracted from the lectures timetable, and fed to the wireless network control nodes,allowing them to adapt to their environment. The environment data is processed and clustered using the KMeansclustering algorithm to identify potential peak times for every wireless node. The proposed solutionfeasibility is tested by applying the approach to a case study, at the Arab American University campuswireless network.
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