An energy-efficient and congestion control data-driven approach for cluster-based sensor network
Abstract In Wireless Sensor Networks (WSNs), a dense deployment of sensor nodes
produce data that contain intra-temporal and inter-spatial correlation. To reduce the intensity …
produce data that contain intra-temporal and inter-spatial correlation. To reduce the intensity …
[PDF][PDF] An Energy-Efficient Data Acquisition Technique for Hierarchical Cluster-Based Wireless Sensor Networks.
The minimization of energy consumption related to data acquisition is of prime importance in
energy constrained Wireless Sensor Networks (WSNs). The application of Compressive …
energy constrained Wireless Sensor Networks (WSNs). The application of Compressive …
A collaborative data collection scheme based on optimal clustering for wireless sensor networks
In recent years, energy-efficient data collection has evolved into the core problem in the
resource-constrained Wireless Sensor Networks (WSNs). Different from existing data …
resource-constrained Wireless Sensor Networks (WSNs). Different from existing data …
A survey of applications of artificial neural networks in wireless sensor networks
Wireless Sensor Network (WSN) is the network nodes with limited resources such as
energy, memory and processing power used in sensing an environment. WSNs are known …
energy, memory and processing power used in sensing an environment. WSNs are known …
A sparse system identification algorithm based on fractional order LMS
Y Tan, J Qin, X Xiang, W Ma - International Journal of …, 2020 - inderscienceonline.com
In this paper, a zero-attracting fractional order least mean squares (ZA-FLMS) algorithm is
proposed for adaptive sparse system identification. l 1-norm of the filter coefficients is …
proposed for adaptive sparse system identification. l 1-norm of the filter coefficients is …