Combinatorial optimization: algorithms and complexity
Combinatorial optimization: algorithms and complexity
Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Distributed optimization in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Entropy-based sensor selection heuristic for target localization
Proceedings of the 3rd international symposium on Information processing in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Robust distributed estimation in sensor networks using the embedded polygons algorithm
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
A scheme for robust distributed sensor fusion based on average consensus
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
The sensor selection problem for bounded uncertainty sensing models
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
A spatial sampling scheme based on innovations diffusion in sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Maximum mutual information principle for dynamic sensor query problems
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Incremental Adaptive Strategies Over Distributed Networks
IEEE Transactions on Signal Processing
Distributed Detection in Sensor Networks With Packet Losses and Finite Capacity Links
IEEE Transactions on Signal Processing
Power scheduling of universal decentralized estimation in sensor networks
IEEE Transactions on Signal Processing
Estimating inhomogeneous fields using wireless sensor networks
IEEE Journal on Selected Areas in Communications
Adaptive sensor activity control in many-to-one sensor networks
IEEE Journal on Selected Areas in Communications
Signal recovery with cost-constrained measurements
IEEE Transactions on Signal Processing
Hi-index | 35.69 |
We consider a wireless network with distributed processing capabilities for estimation or detection applications. Due to limited communication resources, the network selects only a subset of sensor measurements for estimation or detection as long as the resulting fidelity is tolerable. We present a distributed sampling scheme based on the concept of innovations diffusion to select the sensor nodes. In the proposed scheme, sensor selection is accomplished through local communication and signal processing. In order to conserve energy and prolong system lifetime, the proposed algorithm selects a nearly minimum number of active sensors to ensure a desired fidelity for each working period. Extensive simulations illustrate the effectiveness of the proposed sampling scheme.