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To Optimize the Interference for Uncoordinated WLANs Using Distributed Client Assisted Channel Assignment

K. Karthika, T. Mohanraj


IEEE 802.11 WLANs are becoming more and more popular in homes and urban areas. The centralized decision making system can provide channel selection and Ap(Access Point) allocation with the help of the network administrator,which can result in unnecessary interference and low system throughput.In this paper, we assign the channel in distributed manner, where the Aps are self-configure to minimize the interference with adjacent Aps.The CACAO algorithm to collect feedback traffic information from the client and transfer into their Aps. First formulate the interference level of each AP and then calculate the weight between the two Aps for avoiding the hidden interference problem and traffic distribution problem. The IEEE 802.11k standard provides simple and efficient mechanism for gathering the feedback. Our results reduce the co-channel interference and produce high throughput.


Dynamic Channel Selection, Self-Managing Networks, Traffic Aware, 802.11 Networks.

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