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We consider the joint optimization of sensor placement and transmission structure for data gathering, where a given number of nodes need to be placed in a field such that the sensed data can be recon structed at a sink within specified distortion bounds wh ...
Consider a set of correlated sources located at the nodes of a network, and a sink to which the data from all the sources has to arrive. We address the minimization of a separable joint communication cost function given by the product [rate] × [edge ...
We consider a queuing problem in which both the service rate of a finite-buffer queue and its rate of arrivals are functions of the same partially observed Markov chain. Basic performance indices of this device, such as long term throughput and loss rates, ...
We study the problem of finding a characterization for the channel that results when a queue is operated under multiple access conditions. In such systems, the mechanism by which different sources gain access to the channel plays a fundamental role in defi ...
In this paper, we consider the minimization of a relevant energy consumption related cost function in the context of sensor networks where correlated sources are generated at various sets of source nodes and have to be transmitted to some set of sink nodes ...
In this paper, we consider the minimization of a relevant energy consumption related cost function in the context of sensor networks where correlated sources are generated at various sets of source nodes and have to be transmitted to some set of sink nodes ...
We consider the problem of correlated data gathering by a network with a sink node and a tree communication structure, where the goal is to minimize the total transmission cost of transporting the information collected by the nodes, to the sink node. Two c ...
This paper studies the interaction between the communication costs in a sensor network and the structure of the data that it measures. We formulate an optimization problem definition for power efficient data gathering and assess its computational difficult ...