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Distributed computing is reshaping the way people think about and do daily life activities. On-line ticket reservation, electronic commerce, and telebanking are examples of services that would be hardly imaginable without distributed computing. Nevertheles ...
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 ...
This thesis is concerned with problems in decentralized communication in large networks. Namely, we address the problems of joint rate allocation and transmission of data sources measured at nodes, and of controlling the multiple access of sources to a sha ...
4-Me3CC6H4CHO was prepd. by oxidn. of 4-Me3CC6H4Me by a Mn3+ salt, esp. Mn2(SO4)3, in turn prepd. by electrochem. oxidn. of a Mn2+ salt in a sep. reaction vessel. Data for 3 runs were given. [on SciFinder (R)] ...
Consider a set of correlated sources located at the nodes of a network, and a set of sinks that are the destinations for some of the sources. The minimization of cost functions which are the product of a function of the rate and a function of the path weig ...
We consider sensor networks that measure spatio-temporal correlated processes. An important task in such settings is the reconstruction at a certain node, called the sink, of the data at all points of the field. We consider scenarios where data is time cri ...
In this work, we consider the problem of designing adaptive distributed processing algorithms in large sensor networks that are efficient in terms of minimizing the total power spent for gathering the spatially correlated data from the sensor nodes to a si ...
We consider large sensor networks where the cost of collecting data from the network nodes to the data gathering sink is critical.~We propose several algorithms that use limited local communication and distributed signal processing to make communication mo ...
