A spatial sampling scheme based on innovations diffusion in sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Energy-efficient power/rate control and scheduling in hybrid TDMA/CDMA wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Kalman filtering with faded measurements
Automatica (Journal of IFAC)
Detection outage and detection diversity in a homogeneous distributed sensor network
IEEE Transactions on Signal Processing
PAC vs. MAC for decentralized detection using noncoherent modulation
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
Energy planning for progressive estimation in multihop sensor networks
IEEE Transactions on Signal Processing
Power constrained distributed estimation with cluster-based sensor collaboration
IEEE Transactions on Wireless Communications
Cooperative diversity of spectrum sensing in cognitive radio networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Nonlinear coding and estimation for correlated data in wireless sensor networks
IEEE Transactions on Communications
Opportunistic power allocation and sensor selection schemes for wireless sensor networks
IEEE Transactions on Wireless Communications
ACM Transactions on Sensor Networks (TOSN)
Distortion outage minimization in rayleigh fading using limited feedback
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Lifetime maximization in wireless sensor networks with an estimation mission
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Estimation over fading channels with limited feedback using distributed sensing
IEEE Transactions on Signal Processing
Cooperative diversity of spectrum sensing for cognitive radio systems
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
Power control strategy for distributed multiple-hypothesis detection
IEEE Transactions on Signal Processing
Enhancing the performance of medical implant communication systems through cooperative diversity
International Journal of Telemedicine and Applications
Universal distributed estimation over multiple access channels with constant modulus signaling
IEEE Transactions on Signal Processing
Linear coherent distributed estimation over unknown channels
Signal Processing
EURASIP Journal on Wireless Communications and Networking - Special issue on signal processing-assisted protocols and algorithms for cooperating objects and wireless sensor networks
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Distributed estimation based on measurements from multiple wireless sensors is investigated. It is assumed that a group of sensors observe the same quantity in independent additive observation noises with possibly different variances. The observations are transmitted using amplify-and-forward (analog) transmissions over nonideal fading wireless channels from the sensors to a fusion center, where they are combined to generate an estimate of the observed quantity. Assuming that the best linear unbiased estimator (BLUE) is used by the fusion center, the equal-power transmission strategy is first discussed, where the system performance is analyzed by introducing the concept of estimation outage and estimation diversity, and it is shown that there is an achievable diversity gain on the order of the number of sensors. The optimal power allocation strategies are then considered for two cases: minimum distortion under power constraints; and minimum power under distortion constraints. In the first case, it is shown that by turning off bad sensors, i.e., sensors with bad channels and bad observation quality, adaptive power gain can be achieved without sacrificing diversity gain. Here, the adaptive power gain is similar to the array gain achieved in multiple-input single-output (MISO) multiantenna systems when channel conditions are known to the transmitter. In the second case, the sum power is minimized under zero-outage estimation distortion constraint, and some related energy efficiency issues in sensor networks are discussed.