Elements of information theory
Elements of information theory
The CEO problem [multiterminal source coding]
IEEE Transactions on Information Theory
The quadratic Gaussian CEO problem
IEEE Transactions on Information Theory
The rate-distortion function for the quadratic Gaussian CEO problem
IEEE Transactions on Information Theory
To code, or not to code: lossy source-channel communication revisited
IEEE Transactions on Information Theory
On the capacity of large Gaussian relay networks
IEEE Transactions on Information Theory
Power-bandwidth-distortion scaling laws for sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Spatio-temporal correlation: theory and applications for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: In memroy of Olga Casals
Proceedings of the 5th international conference 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
Matched source-channel communication for field estimation in wireless sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Spatial correlation-based collaborative medium access control in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Kalman filtering with faded measurements
Automatica (Journal of IFAC)
On the optimal power-distortion tradeoff in asymmetric Gaussian sensor network
IEEE Transactions on Communications
Distributed field estimation with randomly deployed, noisy, binary sensors
IEEE Transactions on Signal Processing
Outage scaling laws and diversity for distributed estimation over parallel fading channels
IEEE Transactions on Signal Processing
Power constrained distributed estimation with cluster-based sensor collaboration
IEEE Transactions on Wireless Communications
Amplify and forward for correlated data gathering over hierarchical sensor networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Field estimation from randomly located binary noisy sensors
IEEE Transactions on Information Theory
Nonlinear coding and estimation for correlated data in wireless sensor networks
IEEE Transactions on Communications
Distributed detection in UWB wireless sensor networks
IEEE Transactions on Signal Processing
Opportunistic power allocation and sensor selection schemes for wireless sensor networks
IEEE Transactions on Wireless Communications
Rechargeable sensor activation under temporally correlated events
Wireless Networks
On event signal reconstruction in wireless sensor networks
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
A decision theoretic approach to Gaussian sensor networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
To sort or not to sort: optimal sensor scheduling for successive compress-and-estimate encoding
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Estimation over fading channels with limited feedback using distributed sensing
IEEE Transactions on Signal Processing
Distributed estimation over fading MACs with multiple antennas at the fusion center
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Stochastic consensus over noisy networks with Markovian and arbitrary switches
Automatica (Journal of IFAC)
Universal distributed estimation over multiple access channels with constant modulus signaling
IEEE Transactions on Signal Processing
Maximum lifetime routing and data aggregation for wireless sensor networks
NETWORKING'06 Proceedings of the 5th international IFIP-TC6 conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems
Energy-efficient transmission and bit allocation schemes in wireless sensor networks
International Journal of Sensor Networks
Collaborating with correlation for energy efficient WSN
Proceedings of the first ACM international workshop on Mission-oriented wireless sensor networking
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Sensors acquire data, and communicate this to an interested party. The arising coding problem is often split into two parts: First, the sensors compress their respective acquired signals, potentially applying the concepts of distributed source coding. Then, they communicate the compressed version to the interested party, the goal being not to make any errors. This coding paradigm is inspired by Shannon's separation theorem for point-to-point communication, but it leads to suboptimal performance in general network topologies. The optimal performance for the general case is not known. In this paper, we propose an alternative coding paradigm based on joint source-channel coding. This coding paradigm permits to determine the optimal performance for a class of sensor networks, and shows how to achieve it. For sensor networks outside this class, we argue that the goal of the coding system could be to approach our condition for optimal performance as closely as possible. This is supported by examples for which our coding paradigm significantly outperforms the traditional separation-based coding paradigm. In particular, for a Gaussian example considered in this paper, the distortion of the best coding scheme according to the separation paradigm decreases like 1/logM, while for our coding paradigm, it decreases like 1/M, where M is the total number of sensors.