The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Improved Child Safety Using Edge-Fog-Cloud Enabled Smart IoT Wearable Device: An Architecture
Abstract
Child safety is of paramount importance as it directly impacts the development, well-being, and future of the children. Ensuring their safety is a collective responsibility shared by parents, caregivers, communities, and society as a whole. Smart wearable devices for child safety can play a significant role in enhancing the security and well-being of children. In market, several child tracking and monitoring devices are available but have some limitations such as unreliable communication, low accuracy, unavailability of real-time data processing and analysis, etc. To address these limitations, an Edge-Fog-Cloud enabled smart IoT wearable device for improved child safety is proposed in this paper. The architecture of the proposed system is composed of two modules, namely child module and parent module. The child module consists of four submodules for GPS, hearbeat, voice and image sensing. The parent module has a smart-phone application submodule. Further, the methodology and process workflow of the proposed architecture are explained in this paper. The authors are working on the implementation of the proposed architecture and it is the future work of this paper.
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“Cloud-integrated dashboards have also been designed to visualize per-child location logs and reduce the cognitive burden on parents by presenting concise summaries rather than raw event streams [15].”
From Child Playground Entry/Exit Tracking and Log Visualization System Using BLE Beacons and Smart Devices (2026) · cites this paper as [15]
Citations
Cites
Kids’ Tracker: An Android Application for Tracking Children
Sweidan, S. Z., Saifan, R., Darabkh, K. A., Abu-Kaff, S., & Al-Ali, S. (2017) · Journal of Software Engineering and Applications · doi:10.4236/jsea.2017.1013052 · Cited by 21
Real-Time Campus University Bus Tracking Mobile Application
Sharif, S. A., Suhaimi, M. S., Jamal, N. N., Riadz, I. K., Amran, I. F., & Jawawi, D. N. A. (2018) · ICT International Student Project Conference (ICT-ISPC) · doi:10.1109/ict-ispc.2018.8523915 · Cited by 18
Wearable Smart Gadget for Child Monitoring based on the Internet of Things
Shameema Latheef, R., & Sumimol, L. (2023) · International Conference on Advanced Computing and Communication Systems (ICACCS) · doi:10.1109/icaccs57279.2023.10113009 · Cited by 8
McCrone, A. (2012) · The Journal of the Acoustical Society of America · doi:10.1121/1.4757844 · Cited by 5
IoT Smart Tracking Device for Missing Person Finder (Women/Child) using ESP32 AI camera and GPS
Brinda, R., Bhavani, M., & Ramalingam, S. (2022) · International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) · doi:10.1109/icaiss55157.2022.10011079 · Cited by 5
Wearable device for child safety using SMS based communication technique in IoT
Sundari, S. S., KejaPriya, R., Priya, E. K., Meena, S. G., Priya, M., & Therese, B. J. (2023) · AIP conference proceedings · doi:10.1063/5.0141995 · Cited by 3
Research works printed but not linked: 7
- Vaz, 2017, Parents perception on child safety wearable device—a survey in South Bangalore, Int. J. Manage. Soc. Sci. Res. (IJMSSR), 6, 7
- 32 per cent of students bullied at school worldwide: UNESCO, India Today
- At 1.5L cases, 16.2% rise in crimes against kids: report, Times of India
- Crimes against children rise by 20 per cent: CRY report, The Hindu Business Line
- Wu, 2017, School child tracking system
- Bartlett, 2017, Child tracking device
- Srinivas Rao, 2023, Automatic Prediction and Identification of Smart Women Safety Wearable Device Using Dc-RFO-IoT, Journal of Information Technology Management, 15, 34
Cited by
Sorted by citations
IoT-Enabled GPS Tracking System for Monitoring the Safety Concerns of School Students
Hanafi, H. F., Adnan, M. H. M., Huda, M., Mustafa, W. A., Ghani, M. M., Hashim, M. E. A., & Alkhayyat, A. H. (2024) · Journal of Advanced Research in Computing and Applications. · doi:10.37934/arca.35.1.19 · Cited by 9
Tracking and monitoring the safety of the child in the stroller
Pandiaraja, P., Kanna, P. R., Sumathi, K., Karthik, K., Muthumanickam, K., & Radha, S. (2024) · International Conference on Power, Energy, Control and Transmission Systems (ICPECTS) · doi:10.1109/icpects62210.2024.10780119 · Cited by 3
Chung, M. (2026) · Signals · doi:10.3390/signals7040067
“Cloud-integrated dashboards have also been designed to visualize per-child location logs and reduce the cognitive burden on parents by presenting concise summaries rather than raw event streams [15].”
A Unified Smart Solution for Child Security and Parental Insights
Gunakimath, P. V., Harshitha, U., Sanjitha, C., Sanjana Shetty, N., & Sharath Gowda, A. (2025) · International Journal of Advanced Research in Science Communication and Technology · doi:10.48175/ijarsct-30144
Torchguard: An IoT-Based Smart Torch for Personal Safety and Emergency Alerting
Sarkar, A., Mishra, B., Mondal, P., Pradhan, S., Chakraborty, D., & Saha, M. L. (2025) · International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON) · doi:10.1109/iemecon69302.2025.11365639
FedVAD: A Privacy-Preserving Federated Voice Anomaly Detection Framework for Child Safety
Gupta, Y., Navinkumar, M. S., & Agrawal, N. (2026) · International Conference on Communication Systems & Networks (COMSNETS) · doi:10.1109/comsnets67989.2026.11418141
Self-citationA Unified Smart Solution for Child Security and Parental Insights
Harshitha U, S. C., & N, P. V. G. S. S. (2026) · International Journal of Advanced Research in Science Communication and Technology · doi:10.48175/ijarsct-32128
Mehdi, S., Kouah, S., & Saighi, A. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-32045-2_8
Metadata
- Authors
- Agrawal, N., Kumar, R., & Tapaswi, S.
- Affiliations
- Indian Institute of Information Technology Sri City (IN)
- Shiv Nadar University (IN)
- Atal Bihari Vajpayee Indian Institute of Information Technology and Management (IN)
- Venue
- 2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)
- Publisher
- IEEE
- Published
- 2024-01-03
- Pages
- 61-66
- OpenAlex
- W4391889505
- Cited by
- 7
- References
- 6
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 1
- FWCI
- 3.04
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Communication Systems & Networks (COMSNETS) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Arduino and IoT Applications
- Physical Sciences › Engineering › Automotive Engineering › IoT and GPS-based Vehicle Safety Systems
- Keywords
- child safety, child tracking, wearable devices, Internet of Things, edge-fog-cloud architecture, GPS tracking, heart rate monitoring, image sensing, real-time data processing
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