In IEEE 802.11 wireless local area network (WLAN) environments, handovers occur when a mobile node (client) moves from the coverage area of one access point (AP) to that of another AP. In particular, a handover in multimedia streaming settings requires a series of tasks to be executed -recognising the disconnection to the currently associated AP, searching for other APs in client visibility and so on. The time taken to perform these tasks gives rise to an interruption of service for about 6 s, which greatly decreases users' quality of experience (QoE). To reduce service disruptions caused by handovers in IEEE 802.11 networks, a soft proactive handover scheme that exploits the received signal strength indicator (RSSI) and scalable video coding (SVC) is proposed. The proposed scheme predicts the time that a handover process is going to start using the RSSI values and receives the lightweight base layer code of the SVC-encoded video during a certain interval before the predicted handover starts. Experimental results show that the proposed scheme can minimise service interruption times during the 802.11 handover operations, thereby increasing QoE.Introduction: The handover as defined in IEEE 802.11 wireless local area network (WLAN) [1] is a time-consuming process. During the handover delay, no user traffic can be exchanged between the access point (AP) and the terminal. Therefore, the whole handover process needs to be completed as fast as possible in order to avoid any interruption of the data traffic [2]. Especially, multimedia streaming applications generally consume a significant amount of network resources so the temporary disconnections or delays that mobile clients experience during handovers can severely degrade the perceptible video quality.To address the handover latency and resulting service disruptions, this Letter proposes a soft proactive (SP)-handover scheme that can be applicable at the application level. In 802.11 WLAN environments, service disruptions usually occur in the network boundaries where the received signal quality is low because of discovering optimal AP [3], and thus the available bandwidth for streaming multimedia content is limited. The scheme first predicts the time that a handover is going to start (handover prediction) based on received signal strength indicator (RSSI) thresholds and pre-fetches the quality-reduced, but lightweight, streaming data during a certain period before the predicted handover start time. The data reserved via such pre-fetches are used to provide continuous services during the handover process. Moreover, the scheme uses scalable video coding (SVC) to lower the quality of streaming content. SVC allows the video signal to be encoded into multiple streams in temporal, spatial and quality dimensions [4]. When the RSSI has frequent fluctuations, unnecessary handover predictions grow, which decreases the efficiency of the proposed scheme. To prevent this, the proposed scheme includes RSSI filtering that mitigates signal fluctuations.