000033798 001__ 33798
000033798 005__ 20180317094827.0
000033798 02470 $$2ISI$$a000229404203209
000033798 037__ $$aCONF
000033798 245__ $$aEfficient Distributed Multiresolution Processing for Data Gathering in Sensor Networks
000033798 269__ $$a2005
000033798 260__ $$c2005
000033798 336__ $$aConference Papers
000033798 520__ $$aWe 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 more efficient in terms of transmission cost.~We consider a model that uses distributed wavelets-based signal processing.~We first propose an algorithm that performs processing at nodes as data is forwarded to the sink.~Then, we analyze algorithms that perform network division into groups of adaptive size and for which signal processing is applied separately to each group.~We show by numerical simulations that such multiresolution approaches result in significant improvements  for data gathering in terms of total communication costs.
000033798 6531_ $$asensor networks
000033798 6531_ $$adistributed signal processing
000033798 6531_ $$aHaar transform
000033798 6531_ $$apiecewise defined signals
000033798 6531_ $$aNCCR-MICS
000033798 6531_ $$aNCCR-MICS/CL1
000033798 700__ $$aAcimovic, Jugoslava
000033798 700__ $$aCristescu, Razvan
000033798 700__ $$aBeferull-Lozano, Baltasar
000033798 7112_ $$aInternational Conference on Acoustics, Speech, and Signal Processing (ICASSP 2005)$$cPhiladelphia, PA, USA$$dMarch 18.23, 2005
000033798 773__ $$j4$$q837-840$$tProceedings of the 30th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2005)
000033798 8564_ $$uhttp://www.icassp2005.com$$zURL
000033798 8564_ $$s293163$$uhttps://infoscience.epfl.ch/record/33798/files/ICASSP2005_ACB.pdf$$zn/a
000033798 909CO $$ooai:infoscience.tind.io:33798$$pIC$$pconf
000033798 909C0 $$0252097$$pLANOS$$xU10425
000033798 937__ $$aLANOS-CONF-2005-001
000033798 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000033798 980__ $$aCONF