The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A Survey on Resource Management in IoT Operating Systems
Open accessAbstract
Recently, the Internet of Things (IoT) concept has attracted a lot of attention due to its capability to translate our physical world into a digital cyber world with meaningful information. The IoT devices are smaller in size, sheer in number, contain less memory, use less energy, and have more computational capabilities. These scarce resources for IoT devices are powered by small operating systems (OSs) that are specially designed to support the IoT devices' diverse applications and operational requirements. These IoT OSs are responsible for managing the constrained resources of IoT devices efficiently and in a timely manner. In this paper, discussions on IoT devices and OS resource management are provided. In detail, the resource management mechanisms of the state-of-the-art IoT OSs, such as Contiki, TinyOS, and FreeRTOS, are investigated. The different dimensions of their resource management approaches (including process management, memory management, energy management, communication management, and file management) are studied, and their advantages and limitations are highlighted.
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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
Internet of Things in industries: A survey
Xu, L. D., He, W., & Li, S. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2300753 · Cited by 5,172
The Constrained Application Protocol (CoAP)
Shelby, Z., Hartke, K., & Bormann, C. (2014) · doi:10.17487/rfc7252 · Cited by 2,605
Internet of Things Architecture: Recent Advances, Taxonomy, Requirements, and Open Challenges
Yaqoob, I., Ahmed, E., Hashem, I. A. T., Ahmed, A. I. A., Gani, A., Imran, M., & Guizani, M. (2017) · IEEE Wireless Communications · doi:10.1109/mwc.2017.1600421 · Cited by 668
LTE release 12 and beyond [Accepted From Open Call]
Astely, D., Dahlman, E., Fodor, G., Parkvall, S., & Sachs, J. (2013) · IEEE Communications Magazine · doi:10.1109/mcom.2013.6553692 · Cited by 313 · cited 1×
“LTE Release 12 [30] from 3GPP provides a powersaving mode and a lower overhead signaling procedure to provide energy efficiency [31].”
BackgroundIETF Standardization in the Field of the Internet of Things (IoT): A Survey
Ishaq, I., Carels, D., Teklemariam, G., Hoebeke, J., Abeele, F., Poorter, E., Moerman, I., & Demeester, P. (2013) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan2020235 · Cited by 226
Cited by
Edge-computing-driven Internet of Things: A Survey
Kong, L., Tan, J., Huang, J., Chen, G., Wang, S., Jin, X., Zeng, P., Khan, M., & Das, S. K. (2023) · ACM Computing Surveys · doi:10.1145/3555308 · Cited by 396
Popli, S., Jha, R. K., & Jain, S. (2019) · IEEE Access · doi:10.1109/access.2018.2881533 · Cited by 325
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
Gao, Y., Kim, M., Abuadbba, S., Kim, Y., Thapa, C., Kim, K., Camtep, S. A., Kim, H., & Nepal, S. (2020) · 2020 International Symposium on Reliable Distributed Systems (SRDS) · doi:10.1109/srds51746.2020.00017 · Cited by 240
Learning-Based Resource Management for Low-Power and Lossy IoT Networks
Musaddiq, A., Ali, R., Kim, S. W., & Kim, D.-S. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2022.3152929 · Cited by 23
Self-citationOn the Optimal Calculation of the Rice Coding Parameter
Solano Donado, F. (2020) · Algorithms · doi:10.3390/a13080181 · Cited by 4
Metadata
- Authors
- Musaddiq, A., Zikria, Y. B., Hahm, O., Yu, H., Bashir, A. K., & Kim, S. W.
- Venue
- IEEE Access
- Published
- 2018
- Volume
- 6
- Pages
- 8459-8482
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2794385060
- Cited by
- 200
- References
- 6
- FWCI
- 18.52
- Type
- journal article
- Language
- en
- Open access
- gold
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- Musaddiq, A., Zikria, Y. B., Hahm, O., Yu, H., Bashir, A. K., & Kim, S. W. (2018). A Survey on Resource Management in IoT Operating Systems. IEEE Access. https://doi.org/10.1109/access.2018.2808324
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