Proceedings of the International Conference on Intelligent Information Systems Design and Indian Knowledge System Applications (ICISDIKSA 2026)

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Optimizing IoT Sensor Data Management for Women's Safety: A VigilNet-Based Dynamic Data Stream Simplification Approach

Authors
P. Divya1, *, P. LakshmiPriya1, G. S. Keerthi1
1ACS College of Engineering, Bengaluru, 560 074, India
*Corresponding author. Email: divyapoomalai@gmail.com
Corresponding Author
P. Divya
Available Online 29 December 2025.
DOI
10.2991/978-94-6463-976-6_20How to use a DOI?
Keywords
IoT; Edge Computing; Dynamic Data Stream Simplification (DDSS); Real-Time Threat Detection; Women's Safety Applications
Abstract

The growing data volume from Internet of Things (IoT) devices in women's safety applications requires advanced data management strategies for efficient processing and real-time responsiveness. This research introduces Dynamic Data Stream Simplification (DDSS) within the VigilNet system, a method designed to optimize sensor data handling. DDSS employs edge computing to filter and preprocess data at the source, transmitting only essential information for further analysis. This reduces bandwidth usage, storage needs, and latency, while improving system responsiveness for real-time threat detection. Experimental results demonstrate that DDSS achieves 95.4% Critical Data Retention Efficiency (CDRE) and 97.2% Data Reconstruction Integrity (DRI), ensuring high data accuracy while optimizing resource utilization. The approach enhances scalability and reliability, reducing network congestion and improving computational efficiency. By prioritizing critical data, DDSS strengthens threat detection accuracy and system performance, making it an effective solution for real-time women’s safety monitoring applications.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Intelligent Information Systems Design and Indian Knowledge System Applications (ICISDIKSA 2026)
Series
Advances in Intelligent Systems Research
Publication Date
29 December 2025
ISBN
978-94-6463-976-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-976-6_20How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - P. Divya
AU  - P. LakshmiPriya
AU  - G. S. Keerthi
PY  - 2025
DA  - 2025/12/29
TI  - Optimizing IoT Sensor Data Management for Women's Safety: A VigilNet-Based Dynamic Data Stream Simplification Approach
BT  - Proceedings of the International Conference on Intelligent Information Systems Design and Indian Knowledge System Applications (ICISDIKSA 2026)
PB  - Atlantis Press
SP  - 296
EP  - 306
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-976-6_20
DO  - 10.2991/978-94-6463-976-6_20
ID  - Divya2025
ER  -