Energy-Efficient Resource Allocation Algorithm for CR-WSN-Based Smart Irrigation System under Realistic Scenarios
Cognitive radio wireless sensor networks (CR-WSNs) are a type of WSNs that use cognitive radio technology to enhance the spectrum utilization and energy efficiency. This paper proposes an energy-efficient resource allocation algorithm (EERAA) to prolong the lifetime of a WSN-based smart irrigation s...
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MDPI AG
2023-05-01
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Series: | Agriculture |
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Online Access: | https://www.mdpi.com/2077-0472/13/6/1149 |
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author | Emad S. Hassan |
author_facet | Emad S. Hassan |
author_sort | Emad S. Hassan |
collection | DOAJ |
description | Cognitive radio wireless sensor networks (CR-WSNs) are a type of WSNs that use cognitive radio technology to enhance the spectrum utilization and energy efficiency. This paper proposes an energy-efficient resource allocation algorithm (EERAA) to prolong the lifetime of a WSN-based smart irrigation system under realistic scenarios. In the proposed algorithm, power allocation and subcarrier assignment are performed consecutively. Considering the impact of the intercarrier interference (ICI) caused by timing offset, the problem of maximizing network-averaged capacity is formulated considering power and interference constraints in realistic scenarios. The obtained results reveal that the proposed algorithm attempts to maximize the averaged capacity of the CR-WSN subject to the total power constraint and tolerable interference. Numerically, the proposed algorithm can reduce the network energy consumption by up to 30%, compared with conventional approaches, while maintaining a high level of system performance in terms of secondary users’ (SUs) averaged capacity. |
first_indexed | 2024-03-11T02:52:33Z |
format | Article |
id | doaj.art-29b5f3533b39416e91cc3d8ebd69c325 |
institution | Directory Open Access Journal |
issn | 2077-0472 |
language | English |
last_indexed | 2024-03-11T02:52:33Z |
publishDate | 2023-05-01 |
publisher | MDPI AG |
record_format | Article |
series | Agriculture |
spelling | doaj.art-29b5f3533b39416e91cc3d8ebd69c3252023-11-18T08:51:01ZengMDPI AGAgriculture2077-04722023-05-01136114910.3390/agriculture13061149Energy-Efficient Resource Allocation Algorithm for CR-WSN-Based Smart Irrigation System under Realistic ScenariosEmad S. Hassan0Department of Electrical Engineering, College of Engineering, Jazan University, Jizan 45142, Saudi ArabiaCognitive radio wireless sensor networks (CR-WSNs) are a type of WSNs that use cognitive radio technology to enhance the spectrum utilization and energy efficiency. This paper proposes an energy-efficient resource allocation algorithm (EERAA) to prolong the lifetime of a WSN-based smart irrigation system under realistic scenarios. In the proposed algorithm, power allocation and subcarrier assignment are performed consecutively. Considering the impact of the intercarrier interference (ICI) caused by timing offset, the problem of maximizing network-averaged capacity is formulated considering power and interference constraints in realistic scenarios. The obtained results reveal that the proposed algorithm attempts to maximize the averaged capacity of the CR-WSN subject to the total power constraint and tolerable interference. Numerically, the proposed algorithm can reduce the network energy consumption by up to 30%, compared with conventional approaches, while maintaining a high level of system performance in terms of secondary users’ (SUs) averaged capacity.https://www.mdpi.com/2077-0472/13/6/1149smart irrigationcognitive radiowireless sensor networksresource allocationenergy efficiencyrealistic scenarios |
spellingShingle | Emad S. Hassan Energy-Efficient Resource Allocation Algorithm for CR-WSN-Based Smart Irrigation System under Realistic Scenarios Agriculture smart irrigation cognitive radio wireless sensor networks resource allocation energy efficiency realistic scenarios |
title | Energy-Efficient Resource Allocation Algorithm for CR-WSN-Based Smart Irrigation System under Realistic Scenarios |
title_full | Energy-Efficient Resource Allocation Algorithm for CR-WSN-Based Smart Irrigation System under Realistic Scenarios |
title_fullStr | Energy-Efficient Resource Allocation Algorithm for CR-WSN-Based Smart Irrigation System under Realistic Scenarios |
title_full_unstemmed | Energy-Efficient Resource Allocation Algorithm for CR-WSN-Based Smart Irrigation System under Realistic Scenarios |
title_short | Energy-Efficient Resource Allocation Algorithm for CR-WSN-Based Smart Irrigation System under Realistic Scenarios |
title_sort | energy efficient resource allocation algorithm for cr wsn based smart irrigation system under realistic scenarios |
topic | smart irrigation cognitive radio wireless sensor networks resource allocation energy efficiency realistic scenarios |
url | https://www.mdpi.com/2077-0472/13/6/1149 |
work_keys_str_mv | AT emadshassan energyefficientresourceallocationalgorithmforcrwsnbasedsmartirrigationsystemunderrealisticscenarios |