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Population expansion and broad deployment of wind and solar renewable power generation has highlighted concerns over the long-standing strategy for grid deployment, expansion and upgrade. Due to their stochastic and often volatile nature, these renewable sources are difficult to integrate into the grid in its current power-on-demand paradigm. In this work, we propose a novel stochastic framework,...
With the advent of audio-visual IP clients, video telephony becomes a realistic option in many application scenarios. In order to guarantee an adequate quality to its users, providers of audio-visual telephony services need to know the impact of the audio and video transmission channel characteristics on perceived Quality of Experience (QoE) in a realistic interactive setting. For this aim, a conversational...
From a theoretical standpoint, backpressure-based techniques present elegant cross-layer rate control solutions that use only local queue information. It is only recently that attempts are being made to design real world wireless protocols using these techniques. To aid this effort, we undertake a comprehensive experimental evaluation of backpressure mechanisms for multihop wireless networks, in particular,...
We take a top-down approach of formulating the rate control problem, over a collection tree, in a wireless sensor network as a generic convex optimization problem and propose a distributed back pressure algorithm using Lyapunov drift based optimization techniques. Primarily, we show that existing theoretical results in the field of stochastic network optimization can be directly applied to a CSMA...
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