Maximization of Energy Efficiency in CR Based IoT Systems Using PSO and GA Algorithms

IOT systems are more compatible with 5G wireless communication systems. Internet of things has the capability of sharing large amount of data, due to which there is an overhead on the IOT network. The better solution to overcome this problem is by incorporating suitable routing and best energy conve...

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Bibliographic Details
Published in2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) pp. 1 - 5
Main Authors Ramesh, Juttu, Thammana, Ajay, Sudha, V
Format Conference Proceeding
LanguageEnglish
Published IEEE 15.09.2021
Subjects
Cognitive radio
energy conservation
Energy consumption
Energy efficiency
Genetic Algorithm
Internet of Things
Particle Swarm Optimization
Routing
Search methods
Sensors
Spectrum sensing time
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DOI10.1109/ICECCT52121.2021.9616935

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Summary:IOT systems are more compatible with 5G wireless communication systems. Internet of things has the capability of sharing large amount of data, due to which there is an overhead on the IOT network. The better solution to overcome this problem is by incorporating suitable routing and best energy conversation methods. Cognitive radio is the best solution for routing and energy conservation methods due to its intelligence. But there is swap between spectrum sensing time and energy consumption in cognitive radio networks. To overcome the trade-off, the inclusion of Optimization in cognitive radio is must for better IOT services. In this paper, we try to resolve joint optimization of sensing time and energy consumption by using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) in cognitive radio network under Co-operative communication scenario.
DOI:10.1109/ICECCT52121.2021.9616935