Using directional antennas for medium access control in ad hoc networks
Proceedings of the 8th annual international conference on Mobile computing and networking
ISPAN '00 Proceedings of the 2000 International Symposium on Parallel Architectures, Algorithms and Networks
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Comparison of multi-channel MAC protocols
MSWiM '05 Proceedings of the 8th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
A power control MAC protocol for ad hoc networks
Wireless Networks
CDR-MAC: A Protocol for Full Exploitation of Directional Antennas in Ad Hoc Wireless Networks
IEEE Transactions on Mobile Computing
Wireless Communications & Mobile Computing
Journal of Parallel and Distributed Computing
AQMP : an adaptive QoS MAC protocol based on IEEE802.11 in ad hoc networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Does the IEEE 802.11 MAC protocol work well in multihop wireless ad hoc networks?
IEEE Communications Magazine
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The nodes in Ad Hoc networks compete for channels when communicating, with the features of no center and self-organization. In traditional channel assignment strategy of MAC layer, nodes do not consider the demands to channel resources of other nodes, which hinders improving the network performance. Practically, in the network based on competitive MAC protocol, each node tries to maximize its payoff, while this interferes with the behavior of other nodes at the same time. Game theory is an effective tool to solve problems of distributed resources, which can be used effectively in channel assignment. In this paper, we propose a new protocol, namely, DGPCI-DCA (Dynamic Game with Perfect and Complete Information based Dynamic Channel Assignment). When all the nodes are rational and greedy, each node selects channels dynamically by backward induction according to strategies of other nodes, thus Nash equilibrium can finally be achieved. Experiments show that the network performance is effectively improved, i.e., the throughput and saturation throughput can be increased, and the packet loss rate and network delay can be reduced.