Abstract
Internet of Things (IoT) is one of the most disruptive technologies nowadays which can efficiently connect, control, and manage intelligent objects that are connected to the Internet. IoT-based applications like smart education, smart agriculture, smart health care, smart homes, etc., which can deliver services without manual intervention and in a more effective manner. In this work, we have proposed an IoT-based smart home automation system using a microcontroller-based Arduino board and mobile-based Short Message Service (SMS) application working functionality. Wi-Fi connectivity has been used to establish communication between the Arduino module and automated home appliances. We have proposed a real-time scheduling strategy that offers a novel communication protocol to control the home environment with the switching functionality. Our simulation results show that the proposed strategy is quite capable to achieve high performance with different simulation scenarios.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Byun, J., Kim, S., Sa, J., Kim, S., Shin, Y. T., & Kim, J. B. (2016). Smart city implementation models based on IoT technology. Advanced Science and Technology Letters, 129(41), 209–212.
Zhou, H. (2012). The Internet of Things in the cloud: A middleware perspective, 1st edn. Boca Raton, FL: CRC Press. ISBN: 1439892997, 9781439892992.
Bin, S., Yuan, L., & Xiaoyi, W. (2010). Research on data mining models for the Internet of Things. In International Conference on Image Analysis and Signal Processing (pp. 127–132).
Dickerson, R., Gorlin, E., & Stankovic, J. (2011). Empath: A continuous remote emotional health monitoring system for depressive illness. Wireless Health.
Hishama, A. A. B., Ishaka, M. H. I., Teika, C. K., Mohameda, Z., & Idrisb, N. H. (2014). Bluetooth-based home automation system using an android phone. Jurnal Teknologi (Sciences & Engineering), 70(3), 57–61.
Pavana, H., Radhika, G., & Ramesan, R. (2014). PLC based monitoring and controlling system using WiFi device. IOSR Journal of Electronics and Communication Engineering, 9(4), 29–34.
Tang, S., Kalavally, V., Ng, K. Y., & Parkkinen, J. (2017). Development of a prototype smart home intelligent lighting control architecture using sensors onboard a mobile computing system. Energy and Buildings, 138, 368–376.
Panth, S., Jivani, M., et al. Home Automation System (HAS) using android for mobile phone. IJECSE (Vol. 3, Issue 1). ISSN 2277-1956/V3N1-01-11.
He, W., Yan, G., & Xu, L. Developing vehicular data cloud services in the IoT environment. In: IEEE Transactions on Industrial Informatics (pp. 1–1). https://doi.org/10.1109/tii.2014.2299233.
Matlak, S., Bogdan, R. (2016). Reducing energy consumption in home automation based on STM32F407 microcontroller. IEEE.
Deng, L. (2010). Research of intelligent home control system. In International Conference on Electrical and Control Engineering.
Delgado, A. R., Picking, R., & Grout, V. Remote-controlled home automation systems with different network technologies. Centre for Applied Internet Research (CAIR), University of Wales, NEWI, Wrexham, UK. http://www.glyndwr.ac.uk/groutv/papers/p5.pdf.
Piyare, R., Tazil, M. (2011). Bluetooth based home automation system using cell phone. In 2011 IEEE 15th International Symposium on Consumer Electronics.
Asadullah, M., & Raza, A. (2016) An overview of home automation systems. In: 2016 2nd International Conference on Robotics and Artificial Intelligence (ICRAI) (pp. 27–31), IEEE.
Demeure, A., Caau, S., Elias, E., & Roux, C. (2015). Building and using home automation systems: A eld study. In: International Symposium on End User Development. Heidelberg: Springer (pp. 125–140).
Das, A. (2018). Fan speed controlled system by temperature using pulse width modulation (pwm). International Journal of Current Research, 10(4), 68021–68024.
Jie, L., Ruifeng, G., Zhixiang, S. (2010). The research of scheduling algorithms in real-time system. In: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering (CCTAE) (Vol. 1, pp. 333–336), IEEE.
Adekunle, Y., Ogunwobi, Z., Jerry, A. S., Efuwape, B., Ebiesuwa, S., & Ainam, J. P. (2014). A comparative study of scheduling algorithms for multiprogramming in real-time systems. International Journal of Innovation and Scientific Research, 12(1), 180–185.
Ramamritham, K., & Stankovic, J. A. (1994). Scheduling algorithms and operating systems support for real-time systems. Proceedings of the IEEE, 82(1), 55–67.
Teymourzadeh, R., et al. (2013). Smart GSM based home automation system. In 2013 IEEE Conference on Systems, Process & Control (ICSPC), IEEE.
Kodali, R., & Jain, V., Bose, S., & Boppana, L. (2016). IoT based smart security and home automation system (pp. 1286–1289). https://doi.org/10.1109/ccaa.2016.7813916.
Martinez, K., Hart, J. K., & Ong, R. (2004). Environmental sensor networks. Computer, 37(8), 50–56.
Ma, Y., Richards, M., Ghanem, M., Guo, Y., & Hassard, J. (2008). Air pollution monitoring and mining based on sensor grid in london. Sensors, 8(6), 3601–3623.
Ghosh, P., Bhattacharjee, D., & Nasipuri, M. (2017). Automatic system for plasmodium species identification from microscopic images of blood-smear samples. Journal of Healthcare Informatics Research, 1(2), 231–259.
Datta, S., Bhattacherjee, D., & Ghosh, P. (2009). Path detection of a moving object. International Journal of Recent Trends in Engineering, 2(3), 37.
Ghosh, P., Bhattacharjee, D., & Nasipuri, M. (2015). An automatic non-invasive system for diagnosis of tuberculosis. Applied computation and security systems (pp. 59–70). New Delhi: Springer.
Bhide, V. H., & Wagh, S. (2015). i-learning IoT: An intelligent self-learning system for home automation using IoT. In 2015 International Conference on Communications and Signal Processing (ICCSP), IEEE.
Stankovic, J. (2014). Research directions for the internet of things. IEEE Internet of Things Journal, 1(1), 3–9.
Gubbi, J., et al. (2014). Understanding the Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660.
Chattoraj, S. (2015). Smart Home Automation based on different sensors and Arduino as the master controller. International Journal of Scientific and Research Publications (Vol. 5, Issue 10).
Kushalnagar, N., Montenegro, G., & Schumacher, C. (2007). IPv6 over low-power wireless personal area networks (LoWPANs): Overview, assumptions, problem statement, and goals. RFC 4919.
Sweatha, K. N., Poornima, M., Vinutha, M. H. (2013). Advance home automation using FPGA controller. International Journal of Advanced Research in Computer and Communication Engineering, 2(7).
Deore, R. K., Sonawane, V. R., Satpute, P. H. (2015). Internet of Thing based home appliances control. In International Conference on Computational Intelligence and Communication Networks (CICN) (pp. 898–902).
Nonaka, T., Shimano, M., Uesugi, Y., & Tomohiro. (2010). Embedded server and client system for home appliances on real-time operating systems. IEEE.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Bhattacharyya, R., Das, A., Majumdar, A., Ghosh, P. (2020). Real-Time Scheduling Approach for IoT-Based Home Automation System. In: Sharma, N., Chakrabarti, A., Balas, V. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 1016. Springer, Singapore. https://doi.org/10.1007/978-981-13-9364-8_8
Download citation
DOI: https://doi.org/10.1007/978-981-13-9364-8_8
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9363-1
Online ISBN: 978-981-13-9364-8
eBook Packages: EngineeringEngineering (R0)