Work

Source Code for Adaptive Intelligent Resource Optimization in Wireless Sensor Networks Using Reinforcement Learning and Compressive Sensing

Year: 2026

Type: software

Abstract: This repository contains the source code and computational implementation associated with the manuscript “Adaptive Intelligent Resource Optimization in Wireless Sensor Networks Using Reinforcement Learning and Compressive Sensing” submitted to Scientific Reports. The repository includes the proposed algorithm, preprocessing routines, model implementation, evaluation procedures, and scripts required to reproduce the principal computational results reported in the manuscript.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22721571

Authors: S, Balamurali, Palanisamy, SatheeshKumar, N, Sathishkumar, KM, Baalamurugan, Venkatesan, Vivek

Institutions: KPR Institute of Engineering and Technology, Alliance University, Manipal Academy of Higher Education, Dubai, Vanguard (United States)

Language: English

Topic: Energy Efficient Wireless Sensor Networks

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7212376054

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