Microwave Communication in the Internet of Things: A Study
Abstract
Microwave communication uses EM waves in the microwave frequency (usually between 1GHz and 300GHz) to transmit data. This method is widely used in various applications, including telecommunications, broadcasting, and satellite communications. The advantages of microwave communication, such as high data transfer rates, suitable bandwidths, and the ability to penetrate obstacles, make it particularly effective for IoT deployments in diverse environments. The Internet of Things (IoT) has transfigured how we intermingle with technology, enabling a seamless integration of devices that communicate and share data. As the IoT landscape expands, so does the need for robust communication methods to handle the increasing volume of connected devices. One such method is microwave communication, which has emerged as a key player in addressing the scalability challenges faced by IoT systems. As the IoT landscape continues to grow at an unprecedented pace, scalable and efficient communication methods will be critical for managing the challenges that arise. Microwave communication offers a strategic advantage by delivering high-speed, flexible, and cost-effective solutions that facilitate the integration of numerous connected devices. By leveraging microwave technology, businesses and organizations can navigate the complexities of IoT scalability, ensuring they remain competitive in an increasingly interconnected world. The future of IoT is bright, and microwave communication plays a pivotal role in shaping its trajectory.
References
Liyakat, K. K. S. (2023, March). Machine learning approach using artificial neural networks to detect malicious nodes in IoT networks. In International Conference on Machine Learning, IoT and Big Data (pp. 123-134). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-99-3932-9_12
Pradeepa, M., Jamberi, K., Sajith, S., Bai, M. R., & Prakash, A. (2022, October). Student health detection using a machine learning approach and IoT. In 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) (pp. 1-5). IEEE. https://doi.org/10.1109/MysuruCon55714.2022.9972445
Liyakat, K. K. S. (2023, March). Detecting malicious nodes in IoT networks using machine learning and artificial neural networks. In 2023 International Conference on Emerging Smart Computing and Informatics (ESCI) (pp. 1-5). IEEE. https://doi.org/10.1109/ESCI56872.2023.10099544
Kasat, K., Shaikh, N., Rayabharapu, V. K., Nayak, M., & Liyakat, K. K. S. (2023, August). Implementation and recognition of waste management system with mobility solution in smart cities using Internet of Things. In 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) (pp. 1661-1665). IEEE. https://doi.org/10.1109/ICAISS58487.2023.10250690
Neeraja, P., Kumar, R. G., Kumar, M. S., Liyakat, K. K. S., & Vani, M. S. (2024, February). DL-based somnolence detection for improved driver safety and alertness monitoring. In 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT) (Vol. 5, pp. 589-594). IEEE. https://doi.org/10.1109/IC2PCT60090.2024.10486714
Kamaraj, A. A., & Acharjya, D. P. (2024). Explainable artificial intelligence in healthcare systems. Nova Science Publishers.
Veena, C., Sridevi, M., Liyakat, K. K. S., Saha, B., Reddy, S. R., & Shirisha, N. (2023, November). HEECCNB: An efficient IoT-cloud architecture for secure patient data transmission and accurate disease prediction in healthcare systems. In 2023 Seventh International Conference on Image Information Processing (ICIIP) (pp. 407-410). IEEE. https://doi.org/10.1109/ICIIP61524.2023.10537627
Khadake, S. B., & Patil, V. J. (2023, December). Prototype design & development of solar based electric vehicle. In 2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON) (pp. 1-7). IEEE. https://doi.org/10.1109/SMARTGENCON60755.2023.10442455
Patil, V. J., Khadake, S. B., Tamboli, D. A., Mallad, H. M., Takpere, S. M., & Sawant, V. A. (2024, February). Review of AI in power electronics and drive systems. In 2024 3rd International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control (PARC) (pp. 94-99). IEEE. https://doi.org/10.1109/PARC59193.2024.10486488
Khadake, S. B. (2016). Detecting salient objects of natural scene in a video’s using spatio-temporal saliency & colour map. JournalNX-A Multidisciplinary Peer Reviewed Journal, 2(8), 30-35. https://repo.journalnx.com/index.php/nx/article/view/1070/1040
Khadake, S. B., Dolli, S. P., Rathod, K. S., Waghmare, M. O., & Deshpande, M. A. (2016). An overview of intelligent traffic control system using PLC and use of current data of vehicle travels. JournalNX-A Multidisciplinary Peer Reviewed Journal. https://repo.journalnx.com/index.php/nx/article/view/739/729
Patil, V. J., Khadake, S. B., Tamboli, D. A., Mallad, H. M., Takpere, S. M., & Sawant, V. A. (2024, January). A comprehensive analysis of Artificial Intelligence integration in electrical engineering. In 2024 5th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI) (pp. 484-491). IEEE. https://doi.org/10.1109/ICMCSI61536.2024.00076
Khadake, S., Kawade, S., Moholkar, S., & Pawar, M. (2022, December). A review of 6G technologies and its advantages over 5G technology. In Techno-Societal 2016, International Conference on Advanced Technologies for Societal Applications (pp. 1043-1051). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-34644-6_107
Dudgikar, A. B., Ingalgi, A. A. A., Jamadar, A. G., Swami, O. R., Khadake, S. B., & Moholkar, S. V. (2023). Intelligent battery swapping system for electric vehicles with charging stations locator on IoT and cloud platform. International Journal of Advanced Research in Science, Communication and Technology, 3(1), 204-208. https://ijarsct.co.in/Paper7867.pdf
Khadake, S. B., Padavale, P. V., Dhere, P. M., & Lingade, B. M. Automatic hand dispenser and temperature scanner for Covid-19 prevention. International Journal of Advanced Research in Science, Communication and Technology, 3(2), 362-367.
Khadake, S. B. (2016). Detecting salient objects in a video’s by using spatio-temporal saliency & colour map. International Journal of Innovations in Engineering Research and Technology, 3(8), 61-69. https://repo.ijiert.org/index.php/ijiert/article/view/910/865
Khadake, S. B., Kashid, P. J., Kawade, A. M., Khedekar, S. V., & Mallad, H. M. (2023). Electric vehicle technology battery management review. International Journal of Advanced Research in Science, Communication and Technology, 3(2), 319-325. https://ijarsct.co.in/Paper13048.pdf
Kutubuddin, K., Nerkar, P., & Sultanabanu, K (2024). IoT-based skin health monitoring system. International Journal of Biology, Pharmacy and Allied Sciences, 13(11), 5937-5950. https://ijbpas.com/pdf/2024/November/MS_IJBPAS_2024_8488.pdf