Power-bandwidth-distortion scaling laws for sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Robustness vs. efficiency in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Fading observation alignment via feedback
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Distortion-rate bounds for distributed estimation using wireless sensor networks
EURASIP Journal on Advances in Signal Processing
Successively Structured Gaussian Two-terminal Source Coding
Wireless Personal Communications: An International Journal
Low-complexity coding and source-optimized clustering for large-scale sensor networks
ACM Transactions on Sensor Networks (TOSN)
Distributed field estimation with randomly deployed, noisy, binary sensors
IEEE Transactions on Signal Processing
Optimal rate allocation in successively structured Gaussian CEO problem
IEEE Transactions on Wireless Communications
IEEE Transactions on Image Processing
On the minimum sum rate of Gaussian multiterminal source coding: new proofs
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
The quadratic Gaussian CEO problem with Byzantine agents
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Field estimation from randomly located binary noisy sensors
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Source-channel communication in sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
The sum-rate bound for a new class of quadratic Gaussian multiterminal source coding problems
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Sending a bivariate Gaussian over a Gaussian MAC
IEEE Transactions on Information Theory
Brief paper: Min-max optimal data encoding and fusion in sensor networks
Automatica (Journal of IFAC)
A little feedback can simplify sensor network cooperation
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
On the sum rate of Gaussian multiterminal source coding: new proofs and results
IEEE Transactions on Information Theory
EURASIP Journal on Wireless Communications and Networking - Special issue on signal processing-assisted protocols and algorithms for cooperating objects and wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Hi-index | 755.08 |
A firm's CEO employs a team of L agents who observe independently corrupted versions of a data sequence {X(t)}t=1∞ . Let R be the total data rate at which the agents may communicate information about their observations to the CEO. The agents are not allowed to convene. Berger, Zhang and Viswanathan (see ibid., vol.42, no.5, p.887-902, 1996) determined the asymptotic behavior of the minimal error frequency in the limit as L and R tend to infinity for the case in which the source and observations are discrete and memoryless. We consider the same multiterminal source coding problem when {X(t)}t=1∞ is independent and identically distributed (i.i.d.) Gaussian random variable corrupted by independent Gaussian noise. We study, under quadratic distortion, the rate-distortion tradeoff in the limit as L and R tend to infinity. As in the discrete case, there is a significant loss between the cases when the agents are allowed to convene and when they are not. As L→∞, if the agents may pool their data before communicating with the CEO, the distortion decays exponentially with the total rate R; this corresponds to the distortion-rate function for an i.i.d. Gaussian source. However, for the case in which they are not permitted to convene, we establish that the distortion decays asymptotically only as R-l