No abstract

Channel interference in wireless local area networks (LANs) has become an unavoidable problem in home networks (HNWs) with the widespread use of smartphones and tablets. In addition, streaming video over WiFi has become popular on HNWs. However, channel interference in streaming traffic continues longer than that in other data traffic and deteriorates the quality of communications of all other devices using the same channel. Therefore, this paper proposes a new WiFi concierge system that visualizes the conditions of WiFi channels by using new methods of estimating channel congestion and detecting streaming traffic to avoid channels where interference has occurred due to streaming traffic. Furthermore, monitoring experiments were conducted in several apartments to test and investigate the validity of the proposed system. As a result, we concluded that the proposed system could recommend better channels to its users.