Elements of information theory
Elements of information theory
Source Coding Theory
Progressive meshes transmission over a wired-to-wireless network
Wireless Networks
A Learning-Theory Approach to Sensor Networks
IEEE Pervasive Computing
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
Distributed source coding using syndromes (DISCUS): design and construction
IEEE Transactions on Information Theory
Decentralized estimation in an inhomogeneous sensing environment
IEEE Transactions on Information Theory
Consistency in models for distributed learning under communication constraints
IEEE Transactions on Information Theory
Lattice Quantization With Side Information: Codes, Asymptotics, and Applications in Sensor Networks
IEEE Transactions on Information Theory
Side information aware coding strategies for sensor networks
IEEE Journal on Selected Areas in Communications
Quantized incremental algorithms for distributed optimization
IEEE Journal on Selected Areas in Communications
Positioning in ad hoc sensor networks
IEEE Network: The Magazine of Global Internetworking
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We propose a scheme for rate-constrained distributed nonparametric regression using a wireless sensor network. The scheme is universal across a wide range of sensor noise models, including unbounded and nonadditive noise; it has low complexity, requiring simple operations such as uniform scalar quantization with dither and message passing between neighboring nodes in the network, and attains minimax optimality for regression functions in common smoothness classes. We present theoretical results on the tradeoff between the compression rate, communication complexity of encoding, and the MSE and demonstrate empirical performance of the scheme using simulations.