A Distributed Clustering Algorithm DCA and a Distributed Mobility-Adaptive Clustering DMAC algorithm are presented that partition the nodes of a fully mobile network ad hoc networ...
Abstract. We consider three paradigms of computation where the bene ts of a parallel solution are greater than usual. Paradigm 1 works on a time-varying input data set, whose size ...
Distributed Constraint Optimization (DCOP) provides a rich framework for modeling multi-agent coordination problems. Existing problem domains for DCOP focus on small (<100 vari...
In designing learning algorithms it seems quite reasonable to construct them in such a way that all data the algorithm already has obtained are correctly and completely reflected...
We focus on data gathering problems in energy constrained networked sensor systems. The system operates in rounds where a subset of the sensors generate a certain number of data p...