Fuzzy packet size optimization for delay sensitive traffic in ad hoc networks

Frantti, Tapio

doi:10.1109/pimrc.2009.5449722

Cited by 4 publications

(1 citation statement)

References 15 publications

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“…The authors in [19] used fuzzy set theory to model and calculate an adaptive scheme for discovering the suitable gateway. Tapio Frantti et al developed a fuzzy model [7] which optimizes packet size of delay sensitive traffic for prevailing network conditions. The work in [5] presents a fuzzy energy based method which is extended from on-demand distance vector routing protocol in MANETs.…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Adaptive Traffic Control Strategy in Wireless Mesh Networks

Lin

Dow

Huang

et al. 2011

2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN)

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Wireless Mesh Networks (WMNs) has been attracted significant attention due to achieve a wide-area wireless environment with flexible-configuration and low-cost properties. When WMNs is used as an infrastructure for Internet access, all network traffic from mesh routers will be forwarded to the gateways that are directly connected to the wired network. Communication in large-scale wireless networks may suffer capacity bottlenecks in the gateway and local congestions among the mesh routers. Therefore, in this paper, we proposed a hybrid strategy which combines the gateway-based and path-based traffic control schemes. In order to obtain simple and efficient results, the klevel congestion awareness scheme is proposed which uses the fuzzy logic technique to estimate the gateway loading. The border nodes (BNs) will redirect partial traffic to adjacent regions that belong to neighbor gateways if congestion occurs. Therefore, the proposed scheme can adjust the network traffic automatically according to traffic condition that can smoothly and immediately share traffic load to neighbor gateways. The validity of the model has been demonstrated through simulation experiments. Our simulation results have also indicated that our scheme is a good choice for WMNs to support efficient congestion control, especially in bursty traffic environments.

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Section: Related Workmentioning

confidence: 99%