Location Information-Based Routing Protocol for Energy Harvesting Cognitive Radio Wireless Sensor Network
This paper explores the integration of Location Information-based Routing (LIBRO) protocol into Energy Harvesting-based Cognitive Radio Wireless Sensor Networks (EH-CWSNs) to address energy consumption challenges and ensure sustainable operation. LIBRO has been recently proposed as an efficient rout...
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2025-01-01
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Online Access: | https://ieeexplore.ieee.org/document/10802884/ |
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author | Mohamad-Rida Mortada Abbass Nasser Alaaeddine Ramadan Koffi-Clement Yao Ali Mansour |
author_facet | Mohamad-Rida Mortada Abbass Nasser Alaaeddine Ramadan Koffi-Clement Yao Ali Mansour |
author_sort | Mohamad-Rida Mortada |
collection | DOAJ |
description | This paper explores the integration of Location Information-based Routing (LIBRO) protocol into Energy Harvesting-based Cognitive Radio Wireless Sensor Networks (EH-CWSNs) to address energy consumption challenges and ensure sustainable operation. LIBRO has been recently proposed as an efficient routing algorithm for traditional WSN networks. In this paper, we extend its application to EH-CWSNs, in which the WSN nodes act as Secondary Users (SUs). By proposing LIBRO-based EH-CWSN, we aim to eliminate energy constraints on the nodes and reduce the need for frequent battery replacements in EH-CWSN, thus enabling deployment in challenging environments. Additionally, LIBRO’s unique feature of minimizing nodes’ cooperation during routing offers advantages for protecting Primary Users (PUs) against interference caused by secondary transmissions. The paper’s primary goal is to adapt LIBRO to the CWSN functionalities, especially the spectrum sensing operation. Then, EH-CWSN network parameters are optimized to ensure lower energy consumption compared to the harvested energy from EH units, establishing a sustainable network while respecting PU collision limits. Through a multi-objective optimization approach, we seek to strike a balance between collision probability with PUs, energy consumption, packet delivery latency, and network throughput, creating a self-powered network that meets various constraints. Numerical findings demonstrate the effectiveness of LIBRO in enhancing energy and spectral efficiencies in EH-CWSNs compared to state-of-the-art routing protocols. |
format | Article |
id | doaj-art-6cc4ce1b199b4723841f04e7ab677f30 |
institution | Kabale University |
issn | 2169-3536 |
language | English |
publishDate | 2025-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj-art-6cc4ce1b199b4723841f04e7ab677f302025-01-25T00:00:53ZengIEEEIEEE Access2169-35362025-01-01139965998010.1109/ACCESS.2024.351774110802884Location Information-Based Routing Protocol for Energy Harvesting Cognitive Radio Wireless Sensor NetworkMohamad-Rida Mortada0https://orcid.org/0009-0003-6664-0772Abbass Nasser1https://orcid.org/0000-0002-7768-8953Alaaeddine Ramadan2https://orcid.org/0000-0001-8221-9839Koffi-Clement Yao3https://orcid.org/0000-0001-8052-4274Ali Mansour4https://orcid.org/0000-0003-4144-8832Lab-STICC, CNRS UMR 6285, ENSTA-Bretagne and ENSTA-Paris, Brest, FranceUBS, Holy-Spirit University of Kaslik (USEK), Jounieh, LebanonCollege of Engineering and Computing, American University of Bahrain, Riffa, BahrainLab-STICC, CNRS UMR 6285, Brest, FranceLab-STICC, CNRS UMR 6285, ENSTA-Bretagne and ENSTA-Paris, Brest, FranceThis paper explores the integration of Location Information-based Routing (LIBRO) protocol into Energy Harvesting-based Cognitive Radio Wireless Sensor Networks (EH-CWSNs) to address energy consumption challenges and ensure sustainable operation. LIBRO has been recently proposed as an efficient routing algorithm for traditional WSN networks. In this paper, we extend its application to EH-CWSNs, in which the WSN nodes act as Secondary Users (SUs). By proposing LIBRO-based EH-CWSN, we aim to eliminate energy constraints on the nodes and reduce the need for frequent battery replacements in EH-CWSN, thus enabling deployment in challenging environments. Additionally, LIBRO’s unique feature of minimizing nodes’ cooperation during routing offers advantages for protecting Primary Users (PUs) against interference caused by secondary transmissions. The paper’s primary goal is to adapt LIBRO to the CWSN functionalities, especially the spectrum sensing operation. Then, EH-CWSN network parameters are optimized to ensure lower energy consumption compared to the harvested energy from EH units, establishing a sustainable network while respecting PU collision limits. Through a multi-objective optimization approach, we seek to strike a balance between collision probability with PUs, energy consumption, packet delivery latency, and network throughput, creating a self-powered network that meets various constraints. Numerical findings demonstrate the effectiveness of LIBRO in enhancing energy and spectral efficiencies in EH-CWSNs compared to state-of-the-art routing protocols.https://ieeexplore.ieee.org/document/10802884/Spectrum sensing as a serviceLoRaWANwireless sensor networkcognitive radio |
spellingShingle | Mohamad-Rida Mortada Abbass Nasser Alaaeddine Ramadan Koffi-Clement Yao Ali Mansour Location Information-Based Routing Protocol for Energy Harvesting Cognitive Radio Wireless Sensor Network IEEE Access Spectrum sensing as a service LoRaWAN wireless sensor network cognitive radio |
title | Location Information-Based Routing Protocol for Energy Harvesting Cognitive Radio Wireless Sensor Network |
title_full | Location Information-Based Routing Protocol for Energy Harvesting Cognitive Radio Wireless Sensor Network |
title_fullStr | Location Information-Based Routing Protocol for Energy Harvesting Cognitive Radio Wireless Sensor Network |
title_full_unstemmed | Location Information-Based Routing Protocol for Energy Harvesting Cognitive Radio Wireless Sensor Network |
title_short | Location Information-Based Routing Protocol for Energy Harvesting Cognitive Radio Wireless Sensor Network |
title_sort | location information based routing protocol for energy harvesting cognitive radio wireless sensor network |
topic | Spectrum sensing as a service LoRaWAN wireless sensor network cognitive radio |
url | https://ieeexplore.ieee.org/document/10802884/ |
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