Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM55146

Adaptive Environmental Monitoring and Alert Network (AEMAN)

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM55146

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM55146

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

DAN

Dr. Anitha N1

AP

Abhinav Patil2

RV

Rajkamal Vishwakarma3

SA

Shravana Amaragol4

YP

Yashaswini P5

Author Services & Downloads

Full Articles

Abstract

This paper presents the design and implementation of an intelligent, multi-functional safety system titled “Smart AQI and Gas Leakage Detection System with IoT-Based Alert and Monitoring Network.” The system utilizes an ESP32-S3 microcontroller to integrate real-time environmental monitoring, encompassing gas detection for harmful or combustible gases such as carbon monoxide, methane, ammonia, or liquefied petroleum gas (LPG), and precise Air Quality Index (AQI) calculation [1][2]. A key innovation is the adaptable, dual-mode operational framework (Home Mode and Industry Mode) that allows flexible application and specialized hazardous gas monitoring depending on environmental requirements [3]. For mission-critical response, the device employs Global System for Mobile communications (GSM) technology to deliver immediate phone calls and SMS alerts to three predefined contacts—the owner, the nearest fire station, and the local police station—ensuring rapid, non-internet dependent emergency notification [4]. Furthermore, the system incorporates a novel distributed AQI Network Mesh, utilizing peer-to-peer communication to facilitate large-scale, district- wise environmental mapping [5]. All collected data is managed and visualized via a centralized web portal, significantly enhancing domestic and industrial safety standards and providing a scalable solution for smart city environmental monitoring [6].

KEYWORDS

Internet of Things Air Quality Index Gas Leakage Detection Mesh Networking ESP32- S3 Safety Automation Environmental Monitoring Smart Cities.

Cite This Article

Dr. Anitha N1, Abhinav Patil2, Rajkamal Vishwakarma3, Shravana Amaragol4, Yashaswini P5, "Adaptive Environmental Monitoring and Alert Network (AEMAN)," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM55146

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

12/11/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

4

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...