Sparsity-promoting sensor selection for non-linear measurement models
The problem of choosing the best subset of sensors that guarantees a certain estimation
performance is referred to as sensor selection. In this paper, we focus on observations that …
performance is referred to as sensor selection. In this paper, we focus on observations that …
Analysis and design of optimum sparse array configurations for adaptive beamforming
In this paper, we analyze the effect of nonuniform array configurations on adaptive
beamforming for enhanced signal-to-interference-plus-noise ratio (SINR). The array is …
beamforming for enhanced signal-to-interference-plus-noise ratio (SINR). The array is …
Combined sensor selection and node location optimization for reducing the localization uncertainties in wireless sensor networks
Abstract Local Positioning Systems (LPS) address the limitations of Global Navigation
Satellite Systems in harsh environments. LPS must attain the optimal location of their …
Satellite Systems in harsh environments. LPS must attain the optimal location of their …
Sensor selection for optimal target localization with 3-D angle of arrival estimation in underwater wireless sensor networks
This paper investigates a sensor selection scheme for optimal target localization with three-
dimensional (3-D) Angle of Arrival (AOA) estimation in Underwater Wireless Sensor …
dimensional (3-D) Angle of Arrival (AOA) estimation in Underwater Wireless Sensor …
Attack localization task allocation in wireless sensor networks based on multi-objective binary particle swarm optimization
Z Sun, Y Liu, L Tao - Journal of Network and Computer Applications, 2018 - Elsevier
In order to prolong the lifetime of the wireless sensor network (WSN) during locating attacks'
position, an Attack Localization Task Allocation (ALTA) algorithm based on multi-objective …
position, an Attack Localization Task Allocation (ALTA) algorithm based on multi-objective …
Communication-efficient and privacy-aware distributed learning
Communication efficiency and privacy are two key concerns in modern distributed
computing systems. Towards this goal, this article proposes partial sharing private …
computing systems. Towards this goal, this article proposes partial sharing private …
Preprocessing design in pyroelectric infrared sensor-based human-tracking system: On sensor selection and calibration
This paper presents an information-gain-based sensor selection approach as well as a
sensor sensing probability model-based calibration process for multihuman tracking in …
sensor sensing probability model-based calibration process for multihuman tracking in …
Sparse sensing for distributed detection
An offline sampling design problem for distributed detection is considered in this paper. To
reduce the sensing, storage, transmission, and processing costs, the natural choice for the …
reduce the sensing, storage, transmission, and processing costs, the natural choice for the …
On ordered transmission based distributed Gaussian shift-in-mean detection under Byzantine attacks
The ordered transmission based (OT-based) schemes reduce the number of transmissions
needed in a distributed detection network without any loss in the probability of error …
needed in a distributed detection network without any loss in the probability of error …
Large deviations performance of consensus+ innovations distributed detection with non-Gaussian observations
We establish the large deviations asymptotic performance (error exponent) of consensus+
innovations distributed detection over random networks with generic (non-Gaussian) sensor …
innovations distributed detection over random networks with generic (non-Gaussian) sensor …