The DOI matches its Crossref record; 83 of the 90 references it cites were found in a registry or an index.
Edge computing for Internet of Things: A survey, e-healthcare case study and future direction
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“For example, OPC-UA has been applied widely for edgeIoT scenarios [210].”
From Federated Learning for Internet of Things: A Comprehensive Survey (2021) · cites this paper as [210]
In the citing paper
“Edge computing can be vital in times like the flu pandemic, where clinicians can monitor patients' vitals from remote areas and devise an action plan.”
From Medical 4.0 technologies for healthcare: Features, capabilities, and applications (2022) · cites this paper as [220]
In the citing paper
“Providing adequate healthcare to distant rural regions has always been difficult [219,220].”
From Medical 4.0 technologies for healthcare: Features, capabilities, and applications (2022) · cites this paper as [220]
In the citing paper
“In healthcare, edge computing is particularly useful in applications that require real-time monitoring and decision making, such as wearable devices for patient monitoring and remote diagnosis and treatment [7,8].”
From Edge AI for Early Detection of Chronic Diseases and the Spread of Infectious Diseases: Opportunities, Challenges, and Future Directions (2023) · cites this paper as [7]
Citations
Cites
McKeown (2008) · doi:10.1145/1355734.1355746 · Cited by 8,513
A Survey on Mobile Edge Computing: The Communication Perspective
Mao, Y., You, C., Zhang, J., Huang, K., & Letaief, K. B. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2745201 · Cited by 5,607
An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends
Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017) · 2017 IEEE International Congress on Big Data (BigData Congress) · doi:10.1109/bigdatacongress.2017.85 · Cited by 4,515
The case for vm-based cloudlets in mobile computing
Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009) · IEEE Pervasive Computing · doi:10.1109/mprv.2009.82 · Cited by 3,660
A survey of mobile cloud computing: architecture, applications, and approaches
Dinh, H. T., Lee, C., Niyato, D., & Wang, P. (2013) · Wireless Communications and Mobile Computing · doi:10.1002/wcm.1203 · Cited by 2,391
Fog and IoT: An Overview of Research Opportunities
Chiang, M., & Zhang, T. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2584538 · Cited by 2,362
MAUI: making smartphones last longer with code offload
Cuervo, E., Balasubramanian, A., Cho, D.-K., Wolman, A., Saroiu, S., Chandra, R., & Bahl, P. (2010) · Proceedings of the 8th international conference on Mobile systems, applications, and services · doi:10.1145/1814433.1814441 · Cited by 2,281
(2011) · doi:10.1145/1966445.1966473 · Cited by 1,870
A survey of information-centric networking
Ahlgren, B., Dannewitz, C., Imbrenda, C., Kutscher, D., & Ohlman, B. (2012) · IEEE Communications Magazine · doi:10.1109/mcom.2012.6231276 · Cited by 1,630
Fog Computing: A Platform for Internet of Things and Analytics
Bonomi, F., Milito, R., Natarajan, P., & Zhu, J. (2014) · Studies in Computational Intelligence · doi:10.1007/978-3-319-05029-4_7 · Cited by 1,222
Flagged first, then by citations
7 of the 90 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- El-Sayed, 2018, vol. 6
- 2018, vol. 19
- Ray, 2017, Data analytics: India needs agency for health data, Curr. Sci., 112, 1082
- Ray, 2017, Understanding the Role of Internet of Things Towards Providing Smart e-Healthcare Services, Bio Med. Res., 28, 1604
Cited by
Sorted by citations
Items 201–241 of 241
Role of Edge Computing to Leverage IoT-Assisted AAL Ecosystem
Madhana, K., & Jayashree, L. S. (2022) · IGI Global eBooks · doi:10.4018/978-1-6684-5700-9.ch030 · Cited by 1
Significance of E-Healthcare for Developing the Healthcare Infrastructure
(2022) · Technoarete Journal on Advances in E-Commerce and E-Business (TJAEE) · doi:10.36647/tjaee/01.01.a005 · Cited by 1
An Analytics Approach Using Edge Computing in Smart Healthcare SystemPreprint
Chauhan, R., Varma, G., Yafi, E., & Zuhairi, M. F. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4167993 · Cited by 1
RaviKrishna, B., Potluri, S., Jeny, J. R. V., Sajja, G. S., & Rao, K. S. (2022) · doi:10.1002/9781394156887.ch10 · Cited by 1
Standalone Edge Ai-Based Solution for Tomato Diseases DetectionPreprint
Zahid, A., Majeed, Y., & Ojo, M. O. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4824801 · Cited by 1
Integrating Edge Devices and Internet of Medical Things in Modern Healthcare
Patra, M. K., & Chaudhuri, N. B. (2025) · doi:10.1002/9781394271382.ch5 · Cited by 1
Case Studies and Practical Applications
Xu, L., & Shi, W. (2025) · doi:10.1002/9781394285860.ch7 · Cited by 1
AI-Driven IoT Architecture Using Electric Vehicles for Emergency Healthcare Monitoring and Response
Srivastava, P., Bajaj, M., & Güven, A. F. (2026) · SoutheastCon 2026 · doi:10.1109/southeastcon63549.2026.11476706
Opportunistic Edge Computing Architecture for Smart Healthcare Systems
Nivethitha, V., & Aghila, G. (2020) · Advances in data mining and database management book series · doi:10.4018/978-1-7998-3053-5.ch013
Edge Computing and IoT Technologies for Medical Applications
Kumar, R., Ayshwarya, B., Muruganantham, A., & Velmurugan, R. (2021) · Advances in computational intelligence and robotics book series · doi:10.4018/978-1-7998-4873-8.ch013
Technologies and Applications of Internet of Things (IoT) in Healthcare
Aslan, İ. (2021) · Advances in data mining and database management book series · doi:10.4018/978-1-7998-6673-2.ch018
Role of Edge Computing to Leverage IoT-Assisted AAL Ecosystem
Madhana, K., & Jayashree, L. S. (2021) · Advances in data mining and database management book series · doi:10.4018/978-1-7998-6673-2.ch017
Opportunistic Edge Computing Architecture for Smart Healthcare Systems
Nivethitha, V., & Aghila, G. (2022) · IGI Global eBooks · doi:10.4018/978-1-6684-5700-9.ch015
Edge Computing Technology: State-of-the-Art and Challenges in an Internet of Things
Raghunathan, D., & Krishnamoorthi, M. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-981-16-2183-3_44
Relation between Edge Computing and the Internet of Things: A Systematic Literature Review
Schroll, J., & Westner, M. K. (2023) · Portland International Conference on Management of Engineering and Technology (PICMET) · doi:10.23919/picmet59654.2023.10216820
Myrmec: FPGA-Accelerated SmartNIC for Cost and Power Efficient IoT Sensor Networks
Chen, J. Y., & Jun, S.-W. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-46077-7_5
Applications of edge analytics: a systematic review
Andročec, D. (2023) · Acta Universitatis Sapientiae Informatica · doi:10.2478/ausi-2023-0021
A Review of Dew and Edge Computing: Two Sides of a Modern Internet of Things Solution
Gušev, M. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-54321-0_7
Artificial Intelligence (AI)-Powered Intelligent Systems for Disease Prognosis: A Bibliometric Study
Sood, K., Gochhait, S., & Paliwal, M. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-97-2839-8_3
Construction of digital twin workshop integrated with edge computing and deep learning
Liu, X., Xie, T., Wu, B., Li, M.-J., & Li, H. (2024) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2816/1/012008 · Cited by 2
EdgeMob: A Context-Aware Dynamic Service Migration for Wearable IoT in Healthcare
Raza, I., Hussain, S. A., & Latif, S. (2024) · International Conference on Computing, Internet of Things and Microwave Systems (ICCIMS) · doi:10.1109/iccims61672.2024.10690352
Monitoring of in-field risk of infection events by foliar pathogens using smart IoT nodes
Hammoud, H., Weis, F., Langrume, C., Leclerc, M., & Bonnin, J. (2024) · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) · doi:10.1109/ithings-greencom-cpscom-smartdata-cybermatics62450.2024.00071
Miya, N., Khan, R. H., Basnet, P., & Poudel, S. (2024) · IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) · doi:10.1109/uemcon62879.2024.10754756
Ding, A. Y., Alwis, C. D., & Liyanage, M. (2024) · Wiley eBooks · doi:10.1002/9781119611646.refs
Limited Resources Usage of Deep-Learning-Based IoT Devices in Healthcare
Gao, X., He, P., Zhou, Y. X., & Qin, X. (2024) · International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings) · doi:10.1109/aibthings63359.2024.10863456
Energy Efficient LoRa ‐Based AIoT Setup for Human Movement Classification
Ganesha, H. S., Gupta, R., & Gupta, S. H. (2025) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.70107 · Cited by 2
Optimizing Service Selection in Internet of Things: Strategies and Approaches
Sasikaladevi, N., Geetha, K., & Aarthi, S. (2025) · Springer eBooks · doi:10.1007/978-3-031-87837-4_17
SPHERE: A Secure Provenance-Aware Hierarchical Ecosystem for Reliable Edge Computing Services
Poudel, S., Khan, R. H., Dhonju, A., & Miya, N. (2025) · IEEE World AI IoT Congress (AIIoT) · doi:10.1109/aiiot65859.2025.11105318
Healthcare Edge Computing and Medical Device Integration System
Babu, C. V. S., Yukesh, K. P., Saravanan, S., & Harish, R. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-1147-0.ch009
An Review of Harnessing the Edge Computing for Healthcare Transformation
Shinde, K. V., & Shankar, P. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-96-2329-7_12
Federated Learning in the Healthcare Industry
Mondal, R. (2025) · Studies in systems, decision and control · doi:10.1007/978-3-031-99270-4_2
Edge Powered System for Latency-Sensitive Remote Health Informatics
Shehab, R. A. (2025) · International Conference on Intelligent Computing and Information Systems (ICICIS) · doi:10.1109/icicis66182.2025.11313135
Roberts, J. A., & Ahmed, U. (2025) · International Conference on Electronic Engineering and Informatics (EEI) · doi:10.1109/eei67650.2025.11334875
Marwala, T. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-36322-1.00013-4
Crowd-Aware Public Space Monitor Using SiWx917
Shaker, A. C., Sravya, V., Tejaswini, A. G., Tamheen, R., & Rishika, D. (2026) · IEEE International Conference on Emerging Computing and Intelligent Technologies (ICoECIT) · doi:10.1109/icoecit68303.2026.11498057
Fernandez, S. M. B. (2026) · International Conference on Inventive Computation Technologies (ICICT) · doi:10.1109/icict68280.2026.11510813
Disaster Recovery and Business Continuity for IIoT-Cloud Services
Olasehan, O. A. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-4581-9.ch001
Edge data integrity verification for enhancing access control in Internet of Things
Pal, S., Rahman, S., Kaur, K., & Karmakar, C. K. (2026) · Discover Internet of Things · doi:10.1007/s43926-026-00449-w
Khatib, M. M. E., Mehanna, R.-A., Ali, S. A., & Alharam, I. (2026) · Springer proceedings in business and economics · doi:10.1007/978-3-032-29346-6_26
Metadata
- Authors
- Ray, P. P., Dash, D., & De, D.
- Affiliations
- Sikkim University (IN)
- National Institute of Technology Patna (IN)
- Maulana Abul Kalam Azad University of Technology, West Bengal (IN)
- Corresponding author
- Ray, Partha Pratim
- Venue
- Journal of Network and Computer Applications
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 140
- Pages
- 1-22
- ISSN
- 1084-8045 (ISSN-L)
- OpenAlex
- W2944604407
- Cited by
- 241
- References
- 90
- Citations by year
- 2026: 13 · 2025: 35 · 2024: 40 · 2023: 36 · 2022: 45 · 2021: 39 · 2020: 26 · 2019: 7
- FWCI
- 16.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Network and Computer Applications (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Keywords
- edge computing, Internet of Things, e-health, smart healthcare, latency reduction, bandwidth reduction, smart sensors, smart cities, testbed
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