Vector quantization and signal compression
Vector quantization and signal compression
Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Wireless integrated network sensors
Communications of the ACM
Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise
Information-Theoretic Bounds on Target Recognition Performance Based on Degraded Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Preprocessing in a tiered sensor network for habitat monitoring
EURASIP Journal on Applied Signal Processing
Universal delay estimation for discrete channels
IEEE Transactions on Information Theory - Part 2
Statistical inference under multiterminal data compression
IEEE Transactions on Information Theory
Multihypothesis sequential probability ratio tests .I. Asymptotic optimality
IEEE Transactions on Information Theory
Blind beamforming on a randomly distributed sensor array system
IEEE Journal on Selected Areas in Communications
Quantizer design and distributed encoding algorithm for source localization in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Contour maps: monitoring and diagnosis in sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Behavioral reconfigurable compression in body sensor networks
Proceedings of the Fifth International Conference on Body Area Networks
Behavioural reconfigurable and adaptive data reduction in body sensor networks
International Journal of Autonomous and Adaptive Communications Systems
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Sensor networks have emerged as a fundamentally new tool for monitoring inaccessible environments. They are distinguished from traditional sensors by strict limitations on system bandwidth and sensor energy resources. These constraints motivate the use of data compression at each sensor. Location finding is an important application of sensor networks, and estimation of the time delay between data from different sensors is a key step in localization. In this work, new quantizer designs specific to the time-delay estimation problem in sensor networks are presented. The goal for these new application-specific encoders is to achieve the best time delay estimate at a given bandwidth budget or latency bound, or minimize the rate required to reach an estimate with desired accuracy.