Information theory and sensor networks
This work is mostly during 2002-2009 and forms part of my MS and PhD research at Boston University. It constitues application of information theory for communication systems (wireless networks, cognitive radios) and to compressed sensing theory. Some work also focuses on distributed estimation problems arising in sensor networks.
Aeron, Shuchin; Saligrama, Venkatesh; Wireless ad hoc networks: Strategies and scaling laws for the fixed SNR regime, IEEE Transactions on Information Theory, 53, 6, 2044-2059, 2007
Alanyali, M; Venkatesh, S; Savas, O; Aeron, S; Distributed Bayesian hypothesis testing in sensor networks, Proceedings of the 2004 American control conference, 6, 5369-5374, 2004
Aeron, Shuchin; Saligrama, Venkatesh; Zhao, Manqi; Information theoretic bounds for compressed sensing, IEEE Transactions on Information Theory, 56, 10, 5111-5130, 2010
Venkatesh, Saligrama; Alanyali, Murat; Savas, Onur; Aeron, Shuchin; Classification in sensor networks, International Symposium on Information Theory, 2004
Aeron, Shuchin; Zhao, Manqi; Saligrama, Venkatesh; Fundamental tradeoffs between sparsity, sensing diversity and sensing capacity, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers, 295-299, 2006
Atia, George; Aeron, Shuchin; Ermis, Erhan; Saligrama, Venkatesh; On throughput maximization and interference avoidance in cognitive radios, 2008 5th IEEE Consumer Communications and Networking Conference, 963-967, 2008
Aeron, Shuchin; Saligrama, Venkatesh; Castanon, David A; Efficient sensor management policies for distributed target tracking in multihop sensor networks, IEEE Transactions on Signal Processing, 56, 6, 2562-2574, 2008