Redefining IoT networks for improving energy and memory efficiency through compressive sensing paradigm
Abstract Wireless Sensor Networks (WSNs) have a wide range of applications across multiple platforms within the Internet of Things (IoT), yet face serious challenges like constrained resources, energy, and memory limitations. Current techniques often struggle to efficiently manage energy consumption...
Saved in:
| Main Authors: | S. Balamurali, M. Kathirvelu, SatheeshKumar Palanisamy, Ines Hilali Jaghdam |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-12278-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A novel Hadamard matrix based hybrid compressive sensing technique for enhancing energy efficiency and network longevity
by: Balamurali S, et al.
Published: (2025-02-01) -
Optimizing Medical IoT Disaster Management with Data Compression
by: Nunudzai Mrewa, et al.
Published: (2024-02-01) -
Radio Spectrum Sensing Framework for Large-Scale, High-Density IoT Sensor Networks
by: Partemie-Marian Mutescu, et al.
Published: (2025-01-01) -
Research and application of micropower safety monitoring IoT system for mine
by: Da ZHANG, et al.
Published: (2020-02-01) -
An overview of smart agriculture using internet of things (IoT) and web services
by: Vijaya Choudhary, et al.
Published: (2025-06-01)