Enhancing Network Security in Wireless Sensor Networks through Rsa-Based Secure Memory Management and Optimized Resource Allocation: A Comprehensive Survey

To improve the safety of networks in Wireless Sensor Networks (WSNs), this study offers a thorough analysis and presents a unique architecture that combines the best utilization of resources with RSA-based secure control of memory. WSNs are essential for many tasks, including weapons systems and tracking the environment, but because of their centralized architecture and shortages of resources, they are very susceptible to breaches of security. This assessment provides a critical analysis of current security mechanisms, emphasizing resource distribution tactics, memory administration approaches, and methods of encryption particularly designed for wireless sensor networks. Building on these discoveries, the study suggests a novel paradigm for the secure utilization of memory in sensor networks that makes use of the RSA encryption method to protect information security and secrecy. While upholding stringent safety criteria, the structure uses effective utilization of resources approaches to increase WSNs' overall effectiveness and efficacy. The proposed method provides a strong solution that improves operational effectiveness and security while addressing the particular difficulties presented by WSNs.

Authors

Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2025-03-26
DOI
https://doi.org/10.52783/cana.v32.4555
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Network Security in Wireless Sensor Networks through Rsa-Based Secure Memory Management and Optimized Resource Allocation: A Comprehensive Survey

C. Visalatchi
Communications on Applied Nonlinear Analysis
Energy Efficient Wireless Sensor Networks
article

Enhancing Network Security in Wireless Sensor Networks through Rsa-Based Secure Memory Management and Optimized Resource Allocation: A Comprehensive Survey

C. Visalatchi
article en

Abstract

To improve the safety of networks in Wireless Sensor Networks (WSNs), this study offers a thorough analysis and presents a unique architecture that combines the best utilization of resources with RSA-based secure control of memory. WSNs are essential for many tasks, including weapons systems and tracking the environment, but because of their centralized architecture and shortages of resources, they are very susceptible to breaches of security. This assessment provides a critical analysis of current security mechanisms, emphasizing resource distribution tactics, memory administration approaches, and methods of encryption particularly designed for wireless sensor networks. Building on these discoveries, the study suggests a novel paradigm for the secure utilization of memory in sensor networks that makes use of the RSA encryption method to protect information security and secrecy. While upholding stringent safety criteria, the structure uses effective utilization of resources approaches to increase WSNs' overall effectiveness and efficacy. The proposed method provides a strong solution that improves operational effectiveness and security while addressing the particular difficulties presented by WSNs.

Communications on Applied Nonlinear AnalysisVol. 32(9s)
Openalex Percentile: Top 94%
Energy Efficient Wireless Sensor Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Enhancing Network Security in Wireless Sensor Networks through Rsa-Based Secure Memory Management and Optimized Resource Allocation: A Comprehensive Survey — C. Visalatchi · Communications on Applied Nonlinear Analysis (2025) | TGRS Research Map | TGRS