A multi-channel, agile, computationally enhanced camera based on the PANOPTES architecture is
presented. Details of camera operational concepts are outlined. Preliminary image acquisition results
and an example of super-resolution enhancement of captured data are given.
In this paper, we present schedulers that minimize the total transmit
power in a multihop wireless network. The focus is on guaranteeing an
end-to-end delay bound for a single variable bit rate flow on a
multihop fading channel. We first compute an analytical approximation
for the transmit power required to send a variable bit rate source
over a finite state fading channel. We then use this approximation to
derive schedulers that have low complexity and near optimal
performance over multihop networks where the fading processes on the
multiple hops are independent. Properties of the optimal delay
allocation are also studied; in the special case of a Gaussian
network, the optimal delay allocation strategy is completely
characterized.
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