The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Small Cells in the Forthcoming 5G/IoT: Traffic Modelling and Deployment Overview
Open accessAbstract
This paper provides an overview of the use of small cells (e.g., femtocells) in the Internet of Things (IoT) environments. As a result of rapid increase in the number of mobile connected devices such as smart-phones and tablets, the demand for data traffic is exponentially increasing. In order to satisfy mobile users' requests and meet the requirements of high data traffic, mobile operators have to increase the network capacities dramatically. One of the promising solutions for the network operators to improve coverage and capacity, and provide high data rate services in a less costly manner is the deployment of femtocells related technologies. Femtocells will help mobile operators to provide a basis for the next generation of services which are a combination of voice, video, and data services to mobile users. Moreover, proper traffic modelling and deployment strategies of femtocells will improve the overall performance of the femtocell network. Therefore, in this survey paper, we overview modelling traffic and deployment strategies in femtocells and provide a review for the use of femtocells and their applications in the IoT environments. In addition, we present open research issues associated with IoT-femtocell based applications.
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Cites
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
A Survey on the Edge Computing for the Internet of Things
Yu, W., Liang, F., He, X., Hatcher, W. G., Lu, C., Lin, J., & Yang, X. (2018) · IEEE Access · doi:10.1109/access.2017.2778504 · Cited by 1,520 · cited 1×
“A comprehensive survey paper on edge computing for the IoT is presented in [67].”
BackgroundA survey on trust management for Internet of Things
Yan, Z., Zhang, P., & Vasilakos, A. V. (2014) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2014.01.014 · Cited by 1,155
A survey on LPWA technology: LoRa and NB-IoT
Sinha, R. S., Wei, Y., & Hwang, S.-H. (2017) · ICT Express · doi:10.1016/j.icte.2017.03.004 · Cited by 1,020 · cited 2×
“example, LoRa can be utilized in smart agriculture [155] to enable connectivity, real-time analytics, reporting, and additional functions such as geolocation in agricultural processing.”
BackgroundOverview and Evaluation of Bluetooth Low Energy: An Emerging Low-Power Wireless Technology
Gomez, C., Oller, J., & Paradells, J. (2012) · Sensors · doi:10.3390/s120911734 · Cited by 967
Bluetooth low energy: Wireless connectivity for medical monitoring
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Energy-efficient mechanisms in security of the internet of things: A survey
Hellaoui, H., Koudil, M., & Bouabdallah, A. (2017) · Computer Networks · doi:10.1016/j.comnet.2017.08.006 · Cited by 61
Cited by
A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues
Stoyanova, M., Nikoloudakis, Y., Panagiotakis, S., Pallis, E., & Markakis, E. K. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2962586 · Cited by 852
Internet of Things (IoT) Cybersecurity Research: A Review of Current Research Topics
Lu, Y., & Xu, L. D. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2869847 · Cited by 567
IoT-enabled smart grid via SM: An overview
Al-Turjman, F., & Abujubbeh, M. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.02.012 · Cited by 319
Self-citationCognition in UAV-Aided 5G and Beyond Communications: A Survey
Ullah, Z., Al-Turjman, F., & Mostarda, L. (2020) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2020.2968311 · Cited by 226
Self-citationSecure Data Encryption Based on Quantum Walks for 5G Internet of Things Scenario
El-Latif, A. A. A., Abd-El-Atty, B., Mazurczyk, W., Fung, C., & Venegas-Andraca, S. E. (2020) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2020.2969863 · Cited by 217
Metadata
- Authors
- Al-Turjman, F., Ever, E., & Zahmatkesh, H.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2019
- Volume
- 21
- Issue
- 1
- Pages
- 28-65
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W2887845465
- Cited by
- 167
- References
- 7
- FWCI
- 7.90
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
