Real-time Operating Systems (RTOS) for Embedded Systems

Ashif Mohammad; Rimi Das; Md Aminul  Islam; Farhana Mahjabeen

doi:10.55927/ajmee.v2i2.7761

Authors

Ashif Mohammad Deputy Station Engineer, Bangladesh Betar, Dhaka
Rimi Das Graduate Teaching Assistant, MS in Electrical and Computer Engineering, Idaho State University
Md Aminul Islam Researcher, School of Computing and Technology, University of Gloucestershire
Farhana Mahjabeen Assistant Radio Engineer, Bangladesh Betar, Dhaka

DOI:

https://doi.org/10.55927/ajmee.v2i2.7761

Keywords:

Embedded Systems, RTOS, Machine Learning

Abstract

Constant Working Frameworks (RTOS) structure is an essential starting point for the usefulness and dependability of installed frameworks. This paper investigates the definition and critical qualities of RTOS, underscoring characteristics like determinism, responsiveness, and proficient undertaking booking. Implanted frameworks, frequently found in gadgets going from modern regulators to clinical instruments, request exact timing and dependable execution of undertakings. The job of RTOS in overseeing ongoing undertakings is talked about, featuring its capacity to meet rigid timing necessities and guarantee task disconnection. A relative investigation with universally applicable working frameworks highlights the one-of-a-kind elements that make RTOS irreplaceable for applications where convenient and unsurprising errand execution is principal. This theory gives a brief outline of the significant job RTOS plays in upgrading the exhibition and dependability of implanted frameworks in different spaces.

Downloads

Download data is not yet available.

References

Abir, S.M.A.A.; Anwar, A.; Choi, J.; Kayes, A.S.M. IoT-Enabled Smart Energy Grid: Applications and Challenges. IEEE Access 2021, 9, 50961–50981. [Google Scholar] [CrossRef]

An, P.M.L.; Kim, T. A Study of the Z-Wave Protocol: Implementing Your Own Smart Home Gateway. In Proceedings of the 2018 3rd International Conference on Computer and Communication Systems (ICCCS), Nagoya, Japan, 27–30 April 2018; pp. 411–415. [Google Scholar] [CrossRef]

ARM. LPC1768 Datasheet. Available online: http://www.keil.com/dd/docs/datashts/philips/lpc176xds.pdf (accessed on 10 July 2022).

Belkin. WeMo Switch. Available online: http://www.belkin.com/us/wemo (accessed on 13 July 2022).

Bui, N.; Castellani, A.P.; Casari, P.; Zorzi, M. The internet of energy: A web-enabled smart grid system. IEEE Netw. 2012, 26, 39–45. [Google Scholar] [CrossRef]

CMSIS OS. Available online: http://www.arm.com/products/processors/cortexm/ cortex-microcontroller-software-interface-standard.php (accessed on 14 August 2022).

Da Silva, T.B.; Chaib, R.P.S.; Arismar, C.S.; da Rosa Righi, R.; Alberti, A.M. Toward Future Internet of Things Experimentation and Evaluation. IEEE Internet Things J. 2022, 9, 8469–8484. [Google Scholar] [CrossRef]

Ghasempour, A. Internet of Things in Smart Grid: Architecture, Applications, Services, Key Technologies, and Challenges. Inventions 2019, 4, 22. [Google Scholar] [CrossRef][Green Version]

González, I.; Calderón, A.J.; Figueiredo, J.; Sousa, J.M.C. A Literature Survey on Open Platform Communications (OPC) Applied to Advanced Industrial Environments. Electronics 2019, 8, 510. [Google Scholar] [CrossRef]

Goudarzi, A.; Ghayoor, F.; Waseem, M.; Fahad, S.; Traore, I. A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook. Energies 2022, 15, 6984. [Google Scholar] [CrossRef]

Guinard, D.; Trifa, V.; Wilde, E. A resource-oriented architecture for the Web of Things. Internet Things (IoT) 2010, 1–8. [Google Scholar] [CrossRef]

IEEE Task Force on Interfacing Techniques for Simulation Tools et al. Interfacing Power System and ICT Simulators: Challenges, State-of-the-Art, and Case Studies. IEEE Trans. Smart Grid 2018, 9, 14–24. [Google Scholar] [CrossRef]

Jia, M.; Komeily, A.; Wang, Y.; Srinivasan, R.S. Adopting Internet of Things for the development of smart buildings: A review of enabling technologies and applications. Autom. Constr. 2019, 101, 111–126. [Google Scholar] [CrossRef]

Lázaro, J.; Astarloa, A.; Rodríguez, M.; Bidarte, U.; Jiménez, J. A Survey on Vulnerabilities and Countermeasures in the Communications of the Smart Grid. Electronics 2021, 10, 1881. [Google Scholar] [CrossRef]

Martín-Lopo, M.M.; Boal, J.; Sánchez-Miralles, A. A literature review of IoT energy platforms aimed at end users. Comput. Netw. 2020, 171, 107101. [Google Scholar] [CrossRef]

Mocrii, D.; Chen, Y.; Musilek, P. IoT-based smart homes: A review of system architecture, software, communications, privacy and security. Internet Things 2018, 1–2, 81–98. [Google Scholar] [CrossRef]

Mohanty, S.; Panda, B.N.; Pattnaik, B.S. Implementation of a Web of Things based Smart Grid to remotely monitor and control Renewable Energy Sources. In Proceedings of the IEEE Students’ Conference on Electrical, Electronics and Computer Science, Bhopal, India, 1–2 March 2014; pp. 1–5. [Google Scholar] [CrossRef]

Moongilan, D. 5G wireless communications (60 GHz band) for smart grid—An EMC perspective. In Proceedings of the IEEE International Symposium on Electromagnetic Compatibility (EMC), Ottawa, ON, Canada, 25–29 July 2016; pp. 689–694. [Google Scholar] [CrossRef]

P3 International. Kill-a-Watt Product Series. Available online: http://www.p3international.com/products/p4400.html (accessed on 15 June 2022).

Pan, J.; Jain, R.; Biswas, P.; Wang, W.; Addepalli, S. A framework for intelligent location-based automated energy controls in a green building testbed. In Proceedings of the IEEE Energytech, Cleveland, OH, USA, 29–31 May 2012; pp. 1–6. [Google Scholar]

Pan, J.; Jain, R.; Paul, S.; Vu, T.; Saifullah, A.; Sha, M. An Internet of Things Framework for Smart Energy in Buildings: Designs, Prototype, and Experiments. IEEE Internet Things J. 2015, 2, 527–537. [Google Scholar] [CrossRef][Green Version]

Qiu, Y.; Ma, M. Secure Group Mobility Support for 6LoWPAN Networks. IEEE Internet Things J. 2018, 5, 1131–1141. [Google Scholar] [CrossRef]

Ramya, C.M.; Shanmugaraj, M.; Prabakaran, R. Study on ZigBee technology. In Proceedings of the 2011 3rd International Conference on Electronics Computer Technology, Kanyakumari, India, 8–10 April 2011; pp. 297–301. [Google Scholar] [CrossRef]

Reka, S.S.; Dragicevic, T. Future effectual role of energy delivery: A comprehensive review of Internet of Things and smart grid. Renew. Sustain. Energy Rev. 2018, 91, 90–108. [Google Scholar] [CrossRef]

Rose, K.; Eldridge, S.; Chapin, L. Available online: https://www.internetsociety.org/wp/content/uploads/2017/08/ISOC-IoT-Overview-20151221-en.pdf (accessed on 29 May 2022).

Song, Y.E.; Liu, Y.; Fang, S.; Zhang, S. Research on Applications of the Internet of Things in the Smart Grid. In Proceedings of the 7th International Conference on Intelligent Human-Machine Systems and Cybernetics, Hangzhou, China, 26–27 August 2015. [Google Scholar]

Tao, J.; Umair, M.; Ali, M.; Zhou, J. The impact of Internet of Things supported by emerging 5G in power systems: A review. CSEE J. Power Energy Syst. 2020, 6, 344–352. [Google Scholar] [CrossRef]

Tightiz, L.; Yang, H. A Comprehensive Review on IoT Protocols’ Features in Smart Grid Communication. Energies 2020, 13, 2762. [Google Scholar] [CrossRef]

Wang, C.; Li, X.; Liu, Y.; Wang, H. The research is on development direction and points in IoT in China's power grid. In Proceedings of the International Conference on Information Science, Electronics and Electrical Engineering, Sapporo, Japan, 26–28 April 2014; pp. 245–248. [Google Scholar] [CrossRef]

Wedd, M. Bluetooth IoT Applications: From BLE to Mesh. Available online: https://www.iotforall.com/bluetooth-iot-applications/ (accessed on 22 July 2022).

Zeadally, S.; Shaikh, F.K.; Talpur, A.; Sheng, Q.Z. Design architectures for energy harvesting in the Internet of Things. Renew. Sustain. Energy Rev. 2020, 128, 109901. [Google Scholar] [CrossRef]