IJSMT Journal

International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
webp (1)

Plagiarism Passed
Peer reviewed
Open Access

INTELLIGENT NETWORK SIGNAL STRENGTH OPTIMIZATION USING MACHINE LEARNING AND REAL-TIME ANALYTICS

AUTHORS:
P. Shree Ganesh
I. Raja Mohamed
V. Suriya
E. Eekash
Mentor
K. Dasarathi Shohi
Affiliation
Artificial Intelligence and Data Science, M.I.E.T. Engineering College Trichy, India
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

The growing reliance on wireless communication has made network signal strength essential for seamless connectivity. However, users often experience issues such as weak signals, interference, and network congestion, especially in indoor and dense environments. This paper proposes a Network Signal Strength Optimization App that uses Artificial Intelligence (AI) and Machine Learning (ML) to monitor and analyze key parameters like RSSI, SNR, and Latency in real time. The system provides personalized recommendation, predictive insights, and signal heat maps to improve connectivity. The proposed solution enhances user experience, ensure reliable network performance, and offers a scalable and efficient approach to modern wireless communication challenges.

Keywords
Article Metrics
Article Views
165
PDF Downloads
2
HOW TO CITE
APA

MLA

Chicago

Copy

Ganesh, P. S., Mohamed, I. R., Suriya, V. & Eekash, E. (2026). Intelligent Network Signal Strength Optimization using Machine Learning and Real-Time Analytics. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.381

Ganesh, P., et al.. "Intelligent Network Signal Strength Optimization using Machine Learning and Real-Time Analytics." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.381.

Ganesh, P.,I. Mohamed,V. Suriya, and E. Eekash. "Intelligent Network Signal Strength Optimization using Machine Learning and Real-Time Analytics." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.381.

References
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
Indexed In
Similar Articles
Evaluating Automation in AI Content Generation: Role of Human Creativity in the Workflow
string(11) "Rachit Jain" Jain, R.
(2026)
DOI: 10.55041/ijsmt.v2i5.103
Weather Prediction for Farmers
string(11) "N ELANGOVAN" ELANGOVAN, N.
(2026)
DOI: 10.55041/ijsmt.v2i3.197
Study on Digital Marketing at Ivent it Solutions Private Limited
string(19) "BHADRAPPA HARALAYYA" HARALAYYA, B.
(2026)
DOI: 10.55041/ijsmt.v2i4.526
Scroll to Top