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Design of an adaptive framework with compressive sensing for spatial data in wireless sensor networks
Wireless Sensor Networks (WSNs) gather active sensor data within a specified period to the sink node. The data transmission in restricted resource...
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A Wake-up Radio-Based Energy-Efficient Multi-Hop Clustering Protocol for WSNs
Wireless sensor networks (WSNs) are considered to be one of the main technologies that are heavily resource-constrained, in constant demand for...
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An Adaptive Fuzzy C Means with Seagull Optimization Algorithm for Analysis of WSNs in Agricultural Field with IoT
In recent years, the environmental monitoring in agriculture field is an essential required application. To achieve the environmental monitoring of...
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Data aggregation algorithm based on clustering for wireless sensor networks
In wireless sensor networks, due to uneven load distribution of sensor nodes and high energy consumption, cluster heads die prematurely and the...
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A gradient-enhanced partition-of-unity surrogate model and adaptive sampling strategy for non-analytic functions
We present a gradient-enhanced, partition-of-unity surrogate model and an associated adaptive sampling procedure that performs well for functions...
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Adaptive Toolpath Planning for Hybrid Manufacturing Based on Raw 3D Scanning Data
The wide industrial adoption of metal Additive Manufacturing (AM) technologies has shown that AM can rarely thrive on its own but should be...
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Research on parallel distributed clustering algorithm applied to cutting parameter optimization
In the big data era, traditional data mining technology cannot meet the requirements of massive data processing with the background of intelligent...
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An adaptive message return strategy for same direction multilane in vehicular networks
Due to the roadside unit can not fully achieve seamless coverage and the dynamic change of network topology in vehicular networks, problems such as...
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Dynamically Adaptive Cell Clustering in 5G Networks
5G networks are viewed as a key technology to provide seamless connectivity throughout the heterogeneous devices used in today’s world. But seamless...
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Energy efficient clustering with compressive sensing for underwater wireless sensor networks
Due to the challenges of the Internet of Things (IoT) enabled underwater communications, Underwater Wireless Sensor Networks (UWSNs) have been graced...
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Adaptive Clustering and Scheduling for Dynamic Region-based Resource Allocation in V2V Communications
In this paper, we propose a scheme named “Adaptive Clustering and Scheduling for Dynamic Region-based Resource Allocation” (ACSR) to solve the...
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Adaptive weight butterfly optimization algorithm (AWBOA) based cluster head selection (CHS) and optimized energy efficient cluster based scheduling (OEECS) approach in wireless sensor networks (WSNS)
This research offers an Energy Efficient Cluster-based Scheduling Scheme to address excessive network energy consumptions and data latencies caused...
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Graph Spatial-Spectral Deep Subspace Clustering for Hyperspectral Image Classification
Deep subspace clustering (DSC) has become a research hotspot and achieved considerable success in unsupervised hyperspectral image (HSI)...
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Clustering Base Energy Efficient Mechanism for an Underwater Wireless Sensor Network
Underwater sensor networks are significantly different from terrestrial networks due to certain characteristics of low bandwidth, high proliferation...
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A Survey: Recent Advances in Hierarchical Clustering Routing Protocols
Wireless sensor networks have been an area of interest for researchers. It has exceptional adaptive capacity and provides a wide range of...
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The niching-based adaptive space reconstruction method for airfoil aerodynamic/stealth design
The airfoils for flying wing aircraft need good aerodynamic, trim and stealth performance, and these unconventional requirements would lead to...
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Swarm Intelligence-Based Clustering and Routing Using AISFOA-NGWO for WSN
In recent years, energy conservation is an ambitious challenge, because IoT connects a limited number of resource devices. Clustering plays vital...
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Modified remora optimization based matching pursuit with density peak clustering for localization of epileptic seizure onset zones
Epilepsy is a common neurological disorder in which the activity of brain becomes abnormal, causing sensation, loss of awareness, and periods of...
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A multi-objective parameter optimization and decision-making method for multi-pass end milling with firefly algorithm and Markov clustering
Machining parameter optimization holds profound significance within the domain of milling operations, as the selection of these parameters can exert...
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The Comparative Performance Analysis of Clustering Algorithms
Clustering is a standard paradigm for associating some similar objects to a cluster while associating others to their respective clusters in an...