Cited by 8IoT and Edge/Fog ComputingArduino and IoT ApplicationsIoT and GPS-based Vehicle Safety Systems

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

Agrawal, Neha, Kumar, Rohit, Tapaswi, Shashikala·2024·2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)

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.

Overview

Integrity signals

Registry

Crossref · 10.1109/comsnets59351.2024.10427466

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 6 references

Research works printed but not linked: 7

  1. Vaz, 2017, Parents perception on child safety wearable device—a survey in South Bangalore, Int. J. Manage. Soc. Sci. Res. (IJMSSR), 6, 7
  2. 32 per cent of students bullied at school worldwide: UNESCO, India Today
  3. At 1.5L cases, 16.2% rise in crimes against kids: report, Times of India
  4. Crimes against children rise by 20 per cent: CRY report, The Hindu Business Line
  5. Wu, 2017, School child tracking system
  6. Bartlett, 2017, Child tracking device
  7. 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

See all 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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Improved Child Safety Using Edge-Fog-Cloud Enabled Smart IoT Wearable Device: An Architecture. https://app.cochat.ai/papers/10.1109/comsnets59351.2024.10427466
The paper
Agrawal, N., Kumar, R., & Tapaswi, S. (2024). Improved Child Safety Using Edge-Fog-Cloud Enabled Smart IoT Wearable Device: An Architecture. 2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS). https://doi.org/10.1109/comsnets59351.2024.10427466