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

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VigilNet: An Adaptive Context-Based Lossless Data Compression Framework for IoT-Enabled Women’s Safety Systems

Authors
P. Divya1, *, M. Kumaresan2, P. Manikandan2
1Research Scholar, Jain University, Bangalore, 562 112, India
2Jain University, Bangalore, 562 112, India
*Corresponding author. Email: divyapoomalai@gmail.com
Corresponding Author
P. Divya
Available Online 29 December 2025.
DOI
10.2991/978-94-6463-976-6_17How to use a DOI?
Keywords
Women Safety; Edge Computing; Adaptive Compression; IoT; Data Management
Abstract

The rapid growth of Internet of Things (IoT) devices in women's safety applications has led to an unprecedented surge in data generation. Managing and processing this data efficiently while ensuring real-time response in emergencies remains a significant challenge. This paper introduces VigilNet, a multi-layered IoT-based safety framework integrating an Adaptive Context-Based Lossless Data Compression (ACLDC) module. VigilNet comprises an IoT Sensing Layer that collects real-time safety data using wearable sensors, GPS trackers, and biometric devices; an Edge Computing Layer for preliminary data processing; and an Adaptive Compression Module for optimizing data transmission based on priority levels. The compressed data is securely transmitted and stored in the cloud, enabling rapid emergency response and forensic analysis. Experimental results demonstrate that the ACLDC module significantly reduces data size without compromising critical information, ensuring efficient bandwidth utilization and real-time responsiveness. This research highlights the potential of adaptive compression in enhancing IoT-enabled safety solutions.

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_17How 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  - M. Kumaresan
AU  - P. Manikandan
PY  - 2025
DA  - 2025/12/29
TI  - VigilNet: An Adaptive Context-Based Lossless Data Compression Framework for IoT-Enabled Women’s Safety Systems
BT  - Proceedings of the International Conference on Intelligent Information Systems Design and Indian Knowledge System Applications (ICISDIKSA 2026)
PB  - Atlantis Press
SP  - 257
EP  - 266
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-976-6_17
DO  - 10.2991/978-94-6463-976-6_17
ID  - Divya2025
ER  -