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Quality of Service (QoS) support has been well studied as a hotspot in mobile ad hoc network. However, since interference range is much larger than transmission range, estimating available bandwidth at each node remains a challenge. To address this problem, a novel Event-driven Bandwidth Estimation Method (EBEM) is proposed in this paper. By incorporating a comprehensive intra-flow interference predicting...
Maintaining scheduling parameters only in each packet's header make it difficult for core-stateless networks to provide deterministic (zero loss) fair bandwidth allocation to each flow. Based on VCSGR, this paper presents a new algorithm, called FVCSGR (fair-VCSGR). In a network of FVCSGR, the arriving traffic of each flow is divided at the ingress node into a set of layers according to its reserved...
The core-stateless packet scheduling scheme has both scalability and the ability of fine granularity QoS guarantees. However, maintaining scheduling parameters only in the packet header make it difficult for core-stateless networks to provide deterministic (zero loss) fair bandwidth allocation to each flow. To address this problem, we conceptually separate bandwidth allocation into two steps: the...
The core-stateless packet scheduling scheme has both scalability and the ability of fine granularity QoS guarantees. However, maintaining scheduling parameters only in the packet header make it difficult for core-stateless networks to provide deterministic (zero loss) fair bandwidth allocation to each flow. To address this problem, we conceptually separate bandwidth allocation into two steps: the...
Maintaining scheduling parameters only in each packet's header make it difficult for core-stateless networks to provide deterministic (zero loss) fair bandwidth allocation to each flow. Based on VCSGR, this paper presents a new algorithm, called FVCSGR (fair-VCSGR). In a network of FVCSGR, the arriving traffic of each flow is divided at the ingress node into a set of layers according to its reserved...
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