Impact of interference on multi-hop wireless network performance
Proceedings of the 9th annual international conference on Mobile computing and networking
Z-MAC: a hybrid MAC for wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
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
RSVP and integrated services in the Internet: a tutorial
IEEE Communications Magazine
Transmission power control in wireless ad hoc networks: challenges, solutions and open issues
IEEE Network: The Magazine of Global Internetworking
Multiagent Q-learning for aloha-like spectrum access in cognitive radio systems
EURASIP Journal on Wireless Communications and Networking
Collision-free operation in wireless ad-hoc networks
MACOM'11 Proceedings of the 4th international conference on Multiple access communications
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Aggregate traffic loads and topology in multihop wireless networks may vary slowly, permitting MAC protocols to "learn" how to spatially coordinate and adapt contention patterns. Such an approach could reduce contention, leading to better throughput. To that end, we propose a family of MAC scheduling algorithms and demonstrate general conditions, which, if satisfied, ensure lattice rate optimality (i.e., achieving any rate-point on a uniform discrete lattice within the throughput region). This general framework enables the design of MAC protocols that meet various objectives and conditions. In this paper, as instances of such a lattice-rate-optimal family, we propose distributed, synchronous contention-based scheduling algorithms that: 1) are lattice-rate-optimal under both the signal-to-interference-plus-noise ratio (SINR)-based and graph-based interference models; 2) do not require node location information; and 3) only require three-stage RTS/CTS message exchanges for contention signaling. Thus, the protocols are amenable to simple implementation and may be robust to network dynamics such as topology and load changes. Finally, we propose a heuristic, which also belongs to the proposed lattice-rate-optimal family of protocols and achieves faster convergence, leading to a better transient throughput.