MACAW: a media access protocol for wireless LAN's
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
A new model for packet scheduling in multihop wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Achieving MAC layer fairness in wireless packet networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
MobiHoc '01 Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
Fair medium access in 802.11 based wireless ad-hoc networks
MobiHoc '00 Proceedings of the 1st ACM international symposium on Mobile ad hoc networking & computing
Idle sense: an optimal access method for high throughput and fairness in rate diverse wireless LANs
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Performance issues with IEEE 802.11 in ad hoc networking
IEEE Communications Magazine
Analysis of the impact of hello protocol parameters over a wireless network self-organization
Proceedings of the 4th ACM workshop on Performance evaluation of wireless ad hoc, sensor,and ubiquitous networks
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The IEEE 802.11 MAC layer is known for its unfairness behavior in ad hoc networks. Introducing fairness in the 802.11 MAC protocol may lead to a global throughput decrease. It is still a real challenge to design a fair MAC protocol for ad hoc networks that is distributed, topology independent, that relies on no explicit information exchanges and that is efficient, i.e. that achieves a good aggregate throughput. The MadMac protocol deals with fairness and throughput by maximizing aggregate throughput when unfairness is solved. Fairness provided by MadMac is only based on information provided by the 802.11 MAC layer and adds a non-probabilistic modification in 802.11. MadMac has been tested in many configurations that are known to be unfair. In these configurations, MadMac provides a good aggregate throughput while solving the fairness issues.