Cognitive neurodynamic approaches to adaptive signal processing in wireless sensor networks

In recent years, Wireless Sensor Networks (WSN) have become vital because of their versatility in numerous applications. Nevertheless, the attain problems like inherent noise, and limited node computation capabilities, result in reduced sensor node lifespan as well as enhanced power consumption. To...

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Veröffentlicht in:	Cognitive neurodynamics Jg. 19; H. 1; S. 11
Hauptverfasser:	Shanthi, K. G., Kinol, A. Mary Joy, Devi, S. Rukmani, Kannan, K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.12.2025 Springer Nature B.V
Schlagworte:	Algorithms Architecture Arithmetic Arithmetic coding Artificial Intelligence Binary codes Biochemistry Biomedical and Life Sciences Biomedicine Cognitive Psychology Comparative analysis Computer Science Data processing Data transmission Decision trees Deep learning Energy consumption Energy efficiency Impulse response Information processing Innovations Life span Lookup tables Neurosciences Noise reduction Optimization techniques Partial differential equations Power consumption Research Article Sensors Signal processing Wireless sensor networks Offset binary coding Look-up tables Modified distributed arithmetic Adaptive finite impulse response Least mean squares Multiply and accumulate
ISSN:	1871-4080, 1871-4099
Online-Zugang:	Volltext
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