Maximizing throughput in wireless networks via gossiping
SIGMETRICS '06/Performance '06 Proceedings of the joint international conference on Measurement and modeling of computer systems
On the complexity of scheduling in wireless networks
Proceedings of the 12th annual international conference on Mobile computing and networking
Resource allocation and cross-layer control in wireless networks
Foundations and Trends® in 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
Distributed random access algorithm: scheduling and congestion control
IEEE Transactions on Information Theory
Dynamic server allocation to parallel queues with randomly varying connectivity
IEEE Transactions on Information Theory
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Recent advances have resulted in queue-based algorithms for medium access control which operate in a distributed fashion, and yet achieve the optimal throughput performance of centralized scheduling algorithms. However, fundamental performance bounds reveal that the "cautious" activation rules involved in establishing throughput optimality tend to produce extremely large delays, typically growing exponentially in 1/(1-r), with r the load of the system, in contrast to the usual linear growth. Motivated by that issue, we explore to what extent more "aggressive" schemes can improve the delay performance. Our main finding is that aggressive activation rules induce a lingering effect, where individual nodes retain possession of a shared resource for excessive lengths of time even while a majority of other nodes idle. Using central limit theorem type arguments, we prove that the idleness induced by the lingering effect may cause the delays to grow with 1/(1-r) at a quadratic rate. To the best of our knowledge, these are the first mathematical results illuminating the lingering effect and quantifying the performance impact. In addition extensive simulation experiments are conducted to illustrate and validate the various analytical results.