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Scheduling Framework for Resource Management in IoT Ecosystem Over 5G Network


Affiliations
1 Department of Computer Science and Engineering, P.E.S. University, Bangalore, India
2 Department of Computer Science and Engineering, J.S.S. Academy of Technical Education, Bangalore, India
 

Resource management in the 5G network is one of the critical concerns which is increasingly seeking attention from the research community; however, a review of existing literature showcases very less usage of scheduling and more inclination towards sophisticated approaches of resource management which are practically infeasible to be executed over resource-constrained devices over Internet-of-Things (IoT). Therefore, the proposed scheme presents a unique framework for effective resource management in a 5G network using a unique scheduling approach. The system executes a novel routine management of time slots considering operational time and transition states of IoT nodes to balance the state of active and passive radio mode operation. The simulated outcome of the study shows that the proposed scheme offers approximately 35% of more residual energy, 47% of reduced energy dissipation, 25% of reduced delay, and 43% of faster processing speed in contrast to existing scheduling schemes in the IoT environment.

Keywords

5G, Resource Management, Scheduling, Radio Mode, Network, IoT.
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  • Scheduling Framework for Resource Management in IoT Ecosystem Over 5G Network

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Authors

Gauri S. Rapate
Department of Computer Science and Engineering, P.E.S. University, Bangalore, India
N C Naveen
Department of Computer Science and Engineering, J.S.S. Academy of Technical Education, Bangalore, India

Abstract


Resource management in the 5G network is one of the critical concerns which is increasingly seeking attention from the research community; however, a review of existing literature showcases very less usage of scheduling and more inclination towards sophisticated approaches of resource management which are practically infeasible to be executed over resource-constrained devices over Internet-of-Things (IoT). Therefore, the proposed scheme presents a unique framework for effective resource management in a 5G network using a unique scheduling approach. The system executes a novel routine management of time slots considering operational time and transition states of IoT nodes to balance the state of active and passive radio mode operation. The simulated outcome of the study shows that the proposed scheme offers approximately 35% of more residual energy, 47% of reduced energy dissipation, 25% of reduced delay, and 43% of faster processing speed in contrast to existing scheduling schemes in the IoT environment.

Keywords


5G, Resource Management, Scheduling, Radio Mode, Network, IoT.

References





DOI: https://doi.org/10.22247/ijcna%2F2023%2F218515