Scheduling algorithms for multihop radio networks
IEEE/ACM Transactions on Networking (TON)
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
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ACM SIGMOBILE Mobile Computing and Communications Review
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Proceedings of the 11th annual international conference on Mobile computing and networking
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Proceedings of the Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks
Time-efficient distributed layer-2 auto-configuration for cognitive radio networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A survey on MAC protocols in OSA networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
On neighbor discovery in cognitive radio networks
Journal of Parallel and Distributed Computing
Efficient spectrum sharing and power control in cognitive radio networks
First International Workshop on Cognitive Wireless Networks
MAC-layer scheduling based on service coefficients in heterogeneous wireless networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Allocation of opportunistic spectrum in cognitive radio ad hoc networks
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
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Cognitive radios CR have the ability to dynamically adapt to local spectrum availability. In a multi-hop wireless network comprised of CR-enabled devices, Medium Access Control (MAC) layer scheduling for data communication involves assignment of timeslots and channels to either links or nodes in the network. The number of channels available and the channel identities vary from one node to another within the CR network. This is in contrast to the existing use of multiple channels where all the nodes have the same set of channels available (for example in IEEE 802.11 networks). In this paper, we present an Integer Linear Programming (ILP) formulation for the MAC-layer scheduling problem and find an optimal schedule. We also propose a simple and efficient distributed heuristic for MAC-layer scheduling. Simulation results indicate that the proposed distributed heuristic provides near optimal schedule.