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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Main Author: Emad S. Hassan
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Agriculture
Subjects:
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.
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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