Abstract
Mobile cloud is changing the way to enroll teaching activities in a university campus. Lectures and lab sessions can be carried out directly from tablets in a classroom by accessing a server in the cloud. In this paper, we address the problem of high-density cloud access with wireless devices in campus networks. We propose to use Wi-Fi direct clustering to solve the problem of quality of service (QoS) degradation when a high number of wireless devices want to access a content in the cloud at the same time. A centralized software-defined network controller is used in our proposed architecture to capture the network state and organize the Wi-Fi Direct groups. The optimized number of clusters can be calculated in function of the number of devices in the room. By simulations, we show that we can provide a better QoS in terms of download time and application’s throughput by reducing the interference in this dense wireless network environment.
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Notes
IEEE 802.11 has 11 frequency bands in the USA and 13 in the UE; however, the number of orthogonal channels is about three in both cases.
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Nguyen, T.M.T., Hamidouche, L., Mathieu, F. et al. SDN-based Wi-Fi Direct clustering for cloud access in campus networks. Ann. Telecommun. 73, 239–249 (2018). https://doi.org/10.1007/s12243-017-0598-z
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DOI: https://doi.org/10.1007/s12243-017-0598-z