Due to the battery resource constraints, saving energy is a critical issue in wireless sensor networks, particularly in large sensor networks. One possible solution is to deploy multiple sink nodes simultaneously. Another possible solution is to employ an adaptive clustering hierarchy routing scheme. In this paper, we propose a multiple sink cluster wireless sensor networks scheme which combines the two solutions, and propose an efficient transmission power control scheme for a sink-centric cluster routing protocol in multiple sink wireless sensor networks, denoted as MSCWSNs-PC. It is a distributed, scalable, self-organizing, adaptive system, and the sensor nodes do not require knowledge of the global network and their location. All sinks effectively work out a representative view of a monitored region, after which power control is employed to optimize network topology. The simulations demonstrate the advantages of our new protocol.
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http://dx.doi.org/10.3390/s100302003 | DOI Listing |
Heliyon
January 2025
Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, 46022, València, Spain.
Resting state electroencephalography (EEG) has proved useful in studying electrophysiological changes in neurodegenerative diseases. In many neuropathologies, microstate analysis of the eyes-closed (EC) scalp EEG is a robust and highly reproducible technique for assessing topological changes with high temporal resolution. However, scalp EEG microstate maps tend to underestimate the non-occipital or non-alpha-band networks, which can also be used to detect neuropathological changes.
View Article and Find Full Text PDFFood Res Int
February 2025
Hubei Key Laboratory of Industry Microbiology, National "111" Center for Cellular Regulation and Molecular Pharmaceutics, Hubei University of Technology, Wuhan 430068, China; Cooperative Innovation Center of Industrial Fermentation (Ministry of Education & Hubei Province), School of Life and Health Sciences, Hubei University of Technology, Wuhan 430068, China; Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, United Kingdom. Electronic address:
The colorimetric sensor for volatile amines (VA) detection can realize non-destructive monitoring of shrimp quality. However, its sensing performance still needs to be improved. In this study, we proposed an aerogel-type colorimetric sensor to improve VA sensing performance and realize early detection of shrimp spoilage.
View Article and Find Full Text PDFISA Trans
January 2025
Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. Electronic address:
Microgrids play an important role in stabilizing the electrical grid and they are the best route to develop green and sustainable energy. Since microgrids are expanding rapidly, it is necessary to consider the related control issues including power quality, bidirectional power flow, voltage and frequency control, and stability analysis. One of the main measurement challenges is the communication delay.
View Article and Find Full Text PDFFood Chem
January 2025
Materials Research Institute and Department of Ecosystem Science and Management, 204 Energy and the Environment Laboratory, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address:
This work presents a convenient and easy-to-operate method for synthesizing the functionally integrated nanocomposite of nitrogen-doped multi walled carbon nanotube networks (N-CNTs) and cobalt 2-methylimidazole (ZIF-67) nanoparticles. The N-CNTs@ZIF-67 nanocomposite was utilized to design a novel electrochemical sensing platform for detecting gallic acid (GA). The N-CNTs@ZIF-67 modified glass carbon electrode (GCE) demonstrated high sensitivity for GA electrochemical detection (LOD: 10.
View Article and Find Full Text PDFBiosens Bioelectron
January 2025
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States; The Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, United States; Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA, United States. Electronic address:
Since physiological and pathological events change the mechanical properties of cells, tools that rapidly quantify such changes at the single-cell level can advance the utility of cell mechanics as a label-free biomarker. We demonstrate the capability to probe the population-level elastic modulus and fluidity of MDA-MB-231 cells at a throughput of up to 50 cell/second within a portable microchip. Our sensing scheme adapts a code multiplexing scheme to implement a distributed network of sensors throughout the microchip, thereby compressing all sensing events into a single electrical output.
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