Smart City Gnosys
Smart city article details
| Title | Hybrid Intelligent System For Channel Allocation And Packet Transmission In Cr-Iot Networks |
|---|---|
| ID_Doc | 29763 |
| Authors | Asuquo D.E.; Umoh U.A.; Robinson S.A.; Dan E.A.; Udoh S.S.; Attai K.F. |
| Year | 2024 |
| Published | International Journal of Hybrid Intelligent Systems, 20, 2 |
| DOI | http://dx.doi.org/10.3233/HIS-240009 |
| Abstract | The proliferation of interconnected devices is driving a surge in the demand for wireless spectrum. Meeting the need for wireless channel access for every device, while also ensuring consistent quality of service (QoS), poses significant challenges. This is particularly true for resource-limited heterogeneous devices within Internet of Things (IoT) networks. Cognitive radio (CR) technology addresses the shortcomings of traditional fixed channel allocation policies by enabling unlicensed users to opportunistically access unused spectrum belonging to licensed users. This facilitates timely and reliable transmission of mission-critical data packets. A cognitive radio-enabled IoT (CR-IoT) network is poised to better accommodate the growing demands of diverse applications and services within the smart city framework, spanning areas such as healthcare, agriculture, manufacturing, logistics, transportation, environment, public safety, and pharmaceuticals. To minimize switching delays and ensure energy and spectral efficiency, this study proposes a hybrid intelligent system for efficient channel allocation and packet transmission in CR-IoT networks. Leveraging Support Vector Machine (SVM) and Adaptive Neuro-Fuzzy Inference System (ANFIS), the system dynamically manages spectrum resources to minimize handoffs while upholding QoS. A Java-based simulation integrates system outputs with interference temperature data to accommodate service demands across 2G-4G spectrums. Evaluation reveals SVM's 98.8% accuracy in detecting spectrum holes and ANFIS's 90.4% accuracy in channel allocation. These results demonstrate significant potential for enhancing spectrum utilization in various IoT applications. © 2024-IOS Press. All rights reserved. |
| Author Keywords | Cognitive radio network; intelligent whitespace detection; internet of things; optimized channel allocation; packet transmission |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
44697  | 0.876 | Agrawal N.K.; Kumar S.; Bisht G.S.; Srivastav A.; Bansla V.; Jain A. | Recriot-Mac: A Reliable And Energy Efficient Resource Management For Internet Of Things Based Cognitive Radio Multi- Channel Mac Protocol | Proceedings of International Conference on Communication, Computer Sciences and Engineering, IC3SE 2024 (2024) |
| 44031 | 0.868 | Sardar A.A.; Roy D.; Mondal W.U.; Das G. | Queuing Analysis Of Qos Aware Microwave Power Transfer Enabled Cr-Iot Network | IEEE Transactions on Wireless Communications, 21, 9 (2022) |
| 36043 | 0.866 | Sharma H.; Yadav S.; Kumar A. | Machine Learning-Based Cognitive Radio For Spectrum Detection In The Optical 5G Network For 256-Qam | Journal of Optical Communications (2025) |
| 48362 | 0.865 | Bala I.; Mijwil M.M.; Abotaleb M.; El-Kenawy E.-S.M.; Ibrahim A. | Sensing Metric-Based Hybrid Underlay/Overlay Transmission Framework For Cr-Iot Networks For Smart City Applications | IET Conference Proceedings, 2023, 44 (2023) |
| 1373 | 0.865 | Sethi S.K.; Mahapatro A. | A Deep Learning-Based Discrete-Time Markov Chain Analysis Of Cognitive Radio Network For Sustainable Internet Of Things In 5G-Enabled Smart City | Iranian Journal of Science and Technology - Transactions of Electrical Engineering, 48, 1 (2024) |
| 22679 | 0.862 | Zheng M.; Zhou J.; Pu G.; Wang R.; Peng W. | Embedded Cr Assisted Noma For Iot Resource Allocation: A Case Study Of Vehicle Networks | IEEE Vehicular Technology Conference (2023) |
| 14667 | 0.862 | Fantacci R.; Marabissi D. | Cognitive Spectrum Sharing: An Enabling Wireless Communication Technology For A Wide Use Of Smart Systems | Future Internet, 8, 2 (2016) |
| 53808 | 0.851 | Sardar A.A.; Roy D.; Mondal W.U.; Das G. | Sustainability Analysis Of Opportunistic Cr-Iot Network Employing Microwave Power Transfer | IEEE Transactions on Cognitive Communications and Networking, 8, 3 (2022) |