Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
Convex Optimization
Mobile Phone Programming: and its Application to Wireless Networking
Mobile Phone Programming: and its Application to Wireless Networking
Iterative power pricing for distributed spectrum coordination in DSL
IEEE Transactions on Communications
Wireless NUM: rate and reliability tradeoffs in random environments
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
The impact of channel variations on wireless distributed computing networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Designing and deploying a building-wide cognitive radio network testbed
IEEE Communications Magazine
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The allocation of communication power consumption and computing rate is inherently one of the cross-layer problems in wireless distributed computing networks (WDCNs). This paper exploits a subgradient approach to choose the optimal power-rate pair for maximizing the network computing capability and minimizing the power consumption. The impact of heterogeneous channel conditions for different nodes are modeled as a penalty term in the objective function to balance the performance and power consumption, and increase the amount of the power for the computing task. Simulation results show that both energy efficiency and the distributed computing power ratio (DCPR) can be increased by considering the wireless channel conditions. These results provide some guidelines for designing the protocol dedicated to WDCNs.