Data structures and network algorithms
Data structures and network algorithms
Multicluster, mobile, multimedia radio network
Wireless Networks
Error Control Coding, Second Edition
Error Control Coding, Second Edition
A bit-map-assisted energy-efficient MAC scheme for wireless sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
Link scheduling in wireless sensor networks: Distributed edge-coloring revisited
Journal of Parallel and Distributed Computing
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Opportunistic power scheduling for dynamic multi-server wireless systems
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
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We consider clustered wireless networks, where transceivers in a cluster use a time-slotted mechanism (TDMA) to access a wireless channel that is shared among several clusters. An approximate expression for the packet-loss probability is derived for networks with one or more mutually interfering clusters in Rayleigh fading environments, and the approximation is shown to be good for relevant scenarios. We then present a scheduling algorithm, based on Lagrangian duality, that exploits the derived packet-loss model in an attempt to minimize the average packet-loss probability in the network. Computer simulations of the proposed scheduling algorithm show that a significant increase in network throughput can be achieved compared to uncoordinated scheduling. Empirical trials also indicate that the proposed optimization algorithm almost always converges to an optimal schedule with a reasonable number of iterations. Thus, the proposed algorithm can also be used for bench-marking suboptimal scheduling algorithms.