Waiting Time Distributions for Processor-Sharing Systems
Journal of the ACM (JACM)
A performance study on service integration in IEEE 802.11E wireless LANs
Computer Communications
Fairness of medium access control protocols for multi-hop ad hoc wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Performance modeling of a bottleneck node in an IEEE 802.11 ad-hoc network
ADHOC-NOW'06 Proceedings of the 5th international conference on Ad-Hoc, Mobile, and Wireless Networks
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Performance analysis of differentiated resource-sharing in a wireless ad-hoc network
Performance Evaluation
Simulating CSMA/CA behavior for performance evaluation of multi-hop wireless networks
Proceedings of the 2012 IEEE 20th International Workshop on Quality of Service
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Wireless ad-hoc networks are based on shared medium technology where the nodes arrange access to the medium in a distributed way independent of their current traffic demand. This has the inherent drawback that a node that serves as a relay node for transmissions of multiple neighboring nodes is prone to become a performance "bottleneck". In the present paper such a bottleneck node is modeled via an idealized fluid-flow queueing model in which the complex packet-level behavior (MAC) is represented by a small set of parameters. We extensively validate the model by ad-hoc network simulations that include all the details of the widely used IEEE 802.11 MAC-protocol. Further we show that the overall flow transfer time of a multi-hop flow, which consists of the sum of the delays at the individual nodes, improves by granting a larger share of the medium capacity to the bottleneck node. Such alternative resource sharing strategies can be enforced in real systems by deploying the recently standardized IEEE 802.11E MAC-protocol. We propose a mapping between the parameter settings of IEEE 802.11E and the fluid-flow model, and validate the fluid-flow model and the parameter mapping with detailed system simulations.