This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and inter-signal correlati...
Stephen R. Schnelle, Jason N. Laska, Chinmay Hegde...
This paper deals with clustering of spatially distributed data using wireless sensor networks. A distributed low-complexity clustering algorithm is developed that requires one-hop...
Pedro A. Forero, Alfonso Cano, Georgios B. Giannak...
Flooding is a growing problem, which affects more than 10% of the UK population. The cost of damage caused by flooding correlates closely with the warning time given before a floo...
Danny Hughes, Phil Greenwood, Gordon S. Blair, Geo...
We explore the problem of rate and power allocation for a sensor network where pairwise distributed source coding is employed (introduced by Roumy and Gesbert `07). For noiseless n...
This paper describes the semantics of a timed, resource-constrained extension of the Creol modeling language. Creol is an object-oriented modeling language with a design that is s...
Rudolf Schlatte, Bernhard K. Aichernig, Andreas Gr...