End-to-end performance and fairness in multihop wireless backhaul networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Network adiabatic theorem: an efficient randomized protocol for contention resolution
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
Wireless mesh networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Elucidating the instability of random access wireless Mesh networks
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Spatial fairness in wireless multi-access networks
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Back-of-the-Envelope Computation of Throughput Distributions in CSMA Wireless Networks
IEEE Transactions on Mobile Computing
Insensitivity and stability of random-access networks
Performance Evaluation
A distributed CSMA algorithm for throughput and utility maximization in wireless networks
IEEE/ACM Transactions on Networking (TON)
Wireless Mesh Networks: Current Challenges and Future Directions of Web-In-The-Sky
IEEE Wireless Communications
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CSMA is the predominant distributed access protocol for wireless mesh networks. Originally designed for single-hop settings, CSMA can exhibit severe performance problems in multi-hop networks in terms of stability and end-to-end throughput. To ensure a smoother flow of packets, we examine an enhancement referred to as Extra Back-off (EB) flow control. In this enhanced scheme a node remains silent for a certain extra back-off time (imposed on top of the usual back-off time that is part of CSMA) after it has transmitted a packet, to give both the downstream and upstream neighbors the opportunity to transmit. EB flow control entails only a small modification to CSMA, preserving its distributed character. In order to examine the performance of EB flow control, we analyze a novel class of Markov models at the interface between classical tandem queues and interacting particle systems. The results demonstrate that EB flow control provides an effective mechanism for improving the end-to-end throughput performance.