This paper presents a predictive and adaptive scheme to support timed-QoS guarantees, in a pic0 and microcellular environments. The proposed scheme integrates the mobility model into the service model to achieve efficient network resource utilization and avoid severe network congestion. The mobility model uses a probabilistic approach to determine the Most Likely Cluster (MLC) to be visited by the mobile unit. The admission control is invoked when a new call arrives or an existing call performs a hand-off to verify the feasibility of supporting the call. The performance of the proposed schemes is compared to the shadow cluster scheme [6]. 0-7803-5284-X/99/$10.00 0 1999 IEEE.
This paper presents an adaptive QoS management scheme to accommodate dynamic variations in network resources, due to the mobility of the users and location-dependent errors. The scheme ensures that satisfactory level of QoS guarantees are met regardless of the user mobility. QoS adaptation is achieved based on the use of application specific quality satisfaction curves, while enforcing a fair allocation of bandwidth among the competing flows. The performance of the proposed scheme is evaluated and results indicate that the scheme yields fair adaptation under heavy loads.
Abstmct-A routing algorithm is proposed to support multicast routing infrastructure for heterogeneous wireless/wired networks. The algorithm has two goals: (a) reduce the overall cost of the multicast tree, (b) reduce the latency for join and leave operations when mobile units hand-off from one cell to another. The algorithm LMM (Low-cost Mobile Multicast) reduces the delay during the hand-off process by precomputing the least-cost path to all neighboring cells. LMM is able to effectively support both static and mobile hosts.
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