Abstract
Recent development and research in the field of communication technologies have congested the unlicensed spectrum. It has resulted in uncontrolled and unrestricted interference to the low-powered wireless sensor network based Internet of Things (IoT). On the other hand, these advancements have necessitated the low-powered IoT to be designed with limited cost, low-energy consumption and efficient spectrum utilization. The issue of spectrum utilization is solved by cognitive radio (CR) network, a low-cost solution to utilize the spectrum efficiently. In CR networks the underutilized licensed spectrum is exploited by unlicensed users opportunistically. Due to their opportunistic nature, the performance of these networks depends on the observed spectrum pattern of a primary user. Therefore, perfect modeling of the spectrum detection and utilization is required in these networks. In this paper, we propose a primary user detection model for Cognitive Radio based Internet of Things (CR-IoT) using the hidden Markov model. We introduced two algorithms; one for free channel detection using the concept of HMM, and the second for efficient allocation of free detected channels. The simulation results show that CR-IoT outperformed traditional networking schemes.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2019 IEEE International Congress on Cybermatics |
| Subtitle of host publication | 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1143-1147 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728129808 |
| DOIs | |
| Publication status | Published - Jul 2019 |
| Externally published | Yes |
| Event | 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019 - Atlanta, United States Duration: 14 Jul 2019 → 17 Jul 2019 |
Publication series
| Name | Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019 |
|---|
Conference
| Conference | 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019 |
|---|---|
| Country/Territory | United States |
| City | Atlanta |
| Period | 14/07/19 → 17/07/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Free Keywords
- Cognitive Radio Networks
- Hidden Markov Model
- Internet of Things
- Performance Evaluation
- Resource Allocation
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Renewable Energy, Sustainability and the Environment
- Hardware and Architecture
- Information Systems and Management
- Safety, Risk, Reliability and Quality
- Communication
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