Bandwidth allocation methods on internet of things: an analytical survey

被引：1
作者：
Rouhifar M. [1 ]
Hedayati A. [1 ]
Aghazarian V. [1 ]
机构：
[1] Department of Computer Engineering, Central Tehran Branch, Islamic Azad University, Tehran
来源：
International Journal of Wireless and Mobile Computing | 2022年 / 23卷 / 01期
关键词：
bandwidth allocation; internet of things; QoS metrics; resource management; scheduling;
D O I：
10.1504/IJWMC.2022.125539
中图分类号：
学科分类号：
摘要：
In the advanced computing age, the Internet of Things (IoT) has attracted a special attention to facilitate the implementation of high-quality automation systems and improve efficiency. Hence, IoT is currently used in a wide range of applications, in which new technologies and concepts affect the expansion of network coverage. Owing to the development of IoT usages, the number of intelligent devices/objects connected to the network is increasing, which can lead to the transmission of a huge volume of data. Regarding the importance of resource management in distributed systems, this paper studies the bandwidth allocation problem in IoT environments as a challenging issue. For this purpose, related literature works are investigated and analysed and then, the efficient bandwidth allocation methods as well as the Quality of Service (QoS) metrics are expressed. The paper also compares the different proposed schemes in terms of modelling strategy, mechanism, QoS parameters and simulation tools. Copyright © 2022 Inderscience Enterprises Ltd.
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页码：88 / 100
页数：12
相关论文
共 66 条
  • [1] Aazam M., St-Hilaire M., Lung C-H., Lambadaris I., Huh E-N., IoT resource estimation challenges and modeling in fog, Fog Computing in the Internet of Things, pp. 17-31, (2018)
  • [2] Abdel-Basset M., El-Shahat D., Elhoseny M., Song H., Energy-aware metaheuristic algorithm for industrial-internet-of-things task scheduling problems in fog computing applications, IEEE Internet of Things Journal, 8, pp. 12638-12649, (2021)
  • [3] Abrahao D.C., Vieira F.H.T., Resource allocation algorithm for LTE networks using fuzzy based adaptive priority and effective bandwidth estimation, Wireless Networks, 24, pp. 423-437, (2018)
  • [4] Al-Fuqaha A., Guizani M., Mohammadi M., Aledhari M., Ayyash M., Internet of things: a survey on enabling technologies, protocols, and applications, IEEE Communications Surveys and Tutorials, 17, pp. 2347-2376, (2015)
  • [5] Arisdakessian S., Wahab O.A., Mourad A., Otrok H., Kara N., FoGMatch: an intelligent multi-criteria IoT-fog scheduling approach using game theory, IEEE/ACM Transactions on Networking, 28, pp. 1779-1789, (2020)
  • [6] Atzori L., Iera A., Morabito G., The internet of things: a survey, Computer Networks, 54, pp. 2787-2805, (2010)
  • [7] Badawy M.M., Ali Z.H., Ali H.A., QoS provisioning framework for service-oriented internet of things (IoT), Cluster Computing, 23, pp. 575-591, (2020)
  • [8] Barbon G., Margolis M., Palumbo F., Raimondi F., Weldin N., Taking Arduino to the internet of things: the ASIP programming model, Computer Communications, 89, 90, pp. 128-140, (2016)
  • [9] Buyya R., Dastjerdi A.V., Internet of Things: Principles and Paradigms, (2016)
  • [10] Cengiz K., Dag T., A review on the recent energy-efficient approaches for the internet protocol stack, EURASIP Journal on Wireless Communications and Networking, 108, pp. 1-22, (2015)
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