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Basar, Tamer Srikant, R. Kashyap, Akshay 2015-09-25T20:09:20Z 2015-09-25T20:09:20Z 10000-01-01 2007 2007 For distributed averaging, we design distributed algorithms that allow each node to compute the average of all numeric values (which could, for example, be measurements) initially recorded in the network when both communication and storage at sensors are constrained. These algorithms also have applications to load balancing in processor networks. Made available in DSpace on 2015-09-25T20:09:20Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3290270.pdf: 2822844 bytes, checksum: 99c3735887066224081f526d60d3396c (MD5) Previous issue date: 2007 Embargo set by: Seth Robbins for item 82314 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 119 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2007. http://hdl.handle.net/2142/81032 (MiAaPQ)AAI3290270 eng Engineering, Electronics and Electrical Sensing With Communication Constraints text Electrical and Computer Engineering Electrical and Computer Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.