Minimum energy decentralized estimation in a wireless sensor network with correlated sensor noises
EURASIP Journal on Wireless Communications and Networking
A spatial sampling scheme based on innovations diffusion in sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Power scheduling for wireless sensor and actuator networks
Proceedings of the 6th international conference on Information processing in sensor networks
Network lifetime maximization for estimation in multihop wireless sensor networks
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 correlated sensor data
IEEE Transactions on Signal Processing
Distributed estimation in energy-constrained wireless sensor networks
IEEE Transactions on Signal Processing
Energy planning for progressive estimation in multihop sensor networks
IEEE Transactions on Signal Processing
Innovations diffusion: a spatial sampling scheme for distributed estimation and detection
IEEE Transactions on Signal Processing
Cross-layer multirate interaction with distributed source coding in wireless sensor networks
IEEE Transactions on Wireless Communications
Power constrained distributed estimation with cluster-based sensor collaboration
IEEE Transactions on Wireless Communications
Sensor networks protocol design using random Markov field theory
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Optimal rate allocation for multi-sensor distributed estimation
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Quantization, channel compensation, and energy allocation for estimation in wireless sensor networks
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Weighted average approach to quantized measurement fusion in wireless sensor network
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Adaptive fast consensus algorithm for distributed sensor fusion
Signal Processing
State estimation with quantized measurements in wireless sensor networks
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
State estimation with quantized measurements in wireless sensor networks
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Stochastic consensus over noisy networks with Markovian and arbitrary switches
Automatica (Journal of IFAC)
Energy-efficient cluster-based distributed estimation in wireless sensor networks
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Linear coherent distributed estimation over unknown channels
Signal Processing
Automatica (Journal of IFAC)
Practical data compression in wireless sensor networks: A survey
Journal of Network and Computer Applications
Quantization, channel compensation, and optimal energy allocation for estimation in sensor networks
ACM Transactions on Sensor Networks (TOSN)
On Kalman filtering over fading wireless channels with controlled transmission powers
Automatica (Journal of IFAC)
Multi-rate distributed fusion estimation for sensor networks with packet losses
Automatica (Journal of IFAC)
Decentralized estimation over noisy channels in cluster-based wireless sensor networks
International Journal of Communication Systems
Hi-index | 35.71 |
We consider the optimal power scheduling problem for the decentralized estimation of a noise-corrupted deterministic signal in an inhomogeneous sensor network. Sensor observations are first quantized into discrete messages, then transmitted to a fusion center where a final estimate is generated. Supposing that the sensors use a universal decentralized quantization/estimation scheme and an uncoded quadrature amplitude modulated (QAM) transmission strategy, we determine the optimal quantization and transmit power levels at local sensors so as to minimize the total transmit power, while ensuring a given mean squared error (mse) performance. The proposed power scheduling scheme suggests that the sensors with bad channels or poor observation qualities should decrease their quantization resolutions or simply become inactive in order to save power. For the remaining active sensors, their optimal quantization and transmit power levels are determined jointly by individual channel path losses, local observation noise variance, and the targeted mse performance. Numerical examples show that in inhomogeneous sensing environment, significant energy savings is possible when compared to the uniform quantization strategy.