Efficient resource allocation for real time traffic in cognitive radio internet of things

Fazlullah Khan, Ateeq Ur Rehman, Mian Ahmad Jan, Izaz Ur Rahman

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings - 2019 IEEE International Congress on Cybermatics
Subtitle of host publication12th 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
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1143-1147
Number of pages5
ISBN (Electronic)9781728129808
DOIs
Publication statusPublished - Jul 2019
Externally publishedYes
Event12th 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 201917 Jul 2019

Publication series

NameProceedings - 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

Conference12th 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/TerritoryUnited States
CityAtlanta
Period14/07/1917/07/19

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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