ERCP: Energy-Efficient and Reliable-Aware Clustering Protocol for Wireless Sensor Networks
Wireless Sensor Networks (WSNs) have been around for over a decade and have been used in many important applications. Energy and reliability are two of the major problems with these kinds of applications. Reliable data delivery is an important issue in WSNs because it is a key part of how well data...
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| Vydané v: | Sensors (Basel, Switzerland) Ročník 22; číslo 22; s. 8950 |
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| Jazyk: | English |
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01.11.2022
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| Abstract | Wireless Sensor Networks (WSNs) have been around for over a decade and have been used in many important applications. Energy and reliability are two of the major problems with these kinds of applications. Reliable data delivery is an important issue in WSNs because it is a key part of how well data are sent. At the same time, energy consumption in battery-based sensors is another challenge. Therefore, efficient clustering and routing are techniques that can be used to save sensors energy and guarantee reliable message delivery. With this in mind, this paper develops an energy-efficient and reliable clustering protocol (ERCP) for WSNs. First, an efficient clustering technique is proposed for sensor nodes’ energy savings considering different clustering parameters, including the link quality metric, the energy, the distance to neighbors, the distance to the sink node, and the cluster load metric. The proposed routing protocol works based on the concept of a reliable inter-cluster routing technique that saves energy. The routing decisions are made based on different parameters, such as the energy balance metric, the distance to the sink node, and the wireless link quality. Many experiments and analyses are examined to determine how well the ERCP performs. The experiment results showed that the ECRP protocol performs much better than some of the recent algorithms in both homogeneous and heterogeneous networks. |
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| AbstractList | Wireless Sensor Networks (WSNs) have been around for over a decade and have been used in many important applications. Energy and reliability are two of the major problems with these kinds of applications. Reliable data delivery is an important issue in WSNs because it is a key part of how well data are sent. At the same time, energy consumption in battery-based sensors is another challenge. Therefore, efficient clustering and routing are techniques that can be used to save sensors energy and guarantee reliable message delivery. With this in mind, this paper develops an energy-efficient and reliable clustering protocol (ERCP) for WSNs. First, an efficient clustering technique is proposed for sensor nodes’ energy savings considering different clustering parameters, including the link quality metric, the energy, the distance to neighbors, the distance to the sink node, and the cluster load metric. The proposed routing protocol works based on the concept of a reliable inter-cluster routing technique that saves energy. The routing decisions are made based on different parameters, such as the energy balance metric, the distance to the sink node, and the wireless link quality. Many experiments and analyses are examined to determine how well the ERCP performs. The experiment results showed that the ECRP protocol performs much better than some of the recent algorithms in both homogeneous and heterogeneous networks. Wireless Sensor Networks (WSNs) have been around for over a decade and have been used in many important applications. Energy and reliability are two of the major problems with these kinds of applications. Reliable data delivery is an important issue in WSNs because it is a key part of how well data are sent. At the same time, energy consumption in battery-based sensors is another challenge. Therefore, efficient clustering and routing are techniques that can be used to save sensors energy and guarantee reliable message delivery. With this in mind, this paper develops an energy-efficient and reliable clustering protocol (ERCP) for WSNs. First, an efficient clustering technique is proposed for sensor nodes’ energy savings considering different clustering parameters, including the link quality metric, the energy, the distance to neighbors, the distance to the sink node, and the cluster load metric. The proposed routing protocol works based on the concept of a reliable inter-cluster routing technique that saves energy. The routing decisions are made based on different parameters, such as the energy balance metric, the distance to the sink node, and the wireless link quality. Many experiments and analyses are examined to determine how well the ERCP performs. The experiment results showed that the ECRP protocol performs much better than some of the recent algorithms in both homogeneous and heterogeneous networks. © 2022 by the authors. Wireless Sensor Networks (WSNs) have been around for over a decade and have been used in many important applications. Energy and reliability are two of the major problems with these kinds of applications. Reliable data delivery is an important issue in WSNs because it is a key part of how well data are sent. At the same time, energy consumption in battery-based sensors is another challenge. Therefore, efficient clustering and routing are techniques that can be used to save sensors energy and guarantee reliable message delivery. With this in mind, this paper develops an energy-efficient and reliable clustering protocol (ERCP) for WSNs. First, an efficient clustering technique is proposed for sensor nodes' energy savings considering different clustering parameters, including the link quality metric, the energy, the distance to neighbors, the distance to the sink node, and the cluster load metric. The proposed routing protocol works based on the concept of a reliable inter-cluster routing technique that saves energy. The routing decisions are made based on different parameters, such as the energy balance metric, the distance to the sink node, and the wireless link quality. Many experiments and analyses are examined to determine how well the ERCP performs. The experiment results showed that the ECRP protocol performs much better than some of the recent algorithms in both homogeneous and heterogeneous networks.Wireless Sensor Networks (WSNs) have been around for over a decade and have been used in many important applications. Energy and reliability are two of the major problems with these kinds of applications. Reliable data delivery is an important issue in WSNs because it is a key part of how well data are sent. At the same time, energy consumption in battery-based sensors is another challenge. Therefore, efficient clustering and routing are techniques that can be used to save sensors energy and guarantee reliable message delivery. With this in mind, this paper develops an energy-efficient and reliable clustering protocol (ERCP) for WSNs. First, an efficient clustering technique is proposed for sensor nodes' energy savings considering different clustering parameters, including the link quality metric, the energy, the distance to neighbors, the distance to the sink node, and the cluster load metric. The proposed routing protocol works based on the concept of a reliable inter-cluster routing technique that saves energy. The routing decisions are made based on different parameters, such as the energy balance metric, the distance to the sink node, and the wireless link quality. Many experiments and analyses are examined to determine how well the ERCP performs. The experiment results showed that the ECRP protocol performs much better than some of the recent algorithms in both homogeneous and heterogeneous networks. |
| Audience | Academic |
| Author | El-Fouly, Fatma H. Ramadan, Rabie A. Yadav, Kusum Khedr, Ahmed Y. Kusetogullari, Huseyin Alreshidi, Eissa Jaber Sharif, Md. Haidar |
| AuthorAffiliation | 3 Systems and Computer Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo 11651, Egypt 4 Department of ICT, University of Agder, 4630 Kristiansand, Norway 2 College of Computer Science and Engineering, University of Ha’il, Ha’il 8650, Saudi Arabia 1 Department of Communication and Computer Engineering, Higher Institute of Engineering, El-Shorouk Academy, El-Shorouk City 11837, Egypt 6 Computer Engineering Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt 5 Department of Computer Science, Blekinge Institute of Technology, 37141 Karlskrona, Sweden |
| AuthorAffiliation_xml | – name: 3 Systems and Computer Engineering Department, Faculty of Engineering, Al-Azhar University, Cairo 11651, Egypt – name: 5 Department of Computer Science, Blekinge Institute of Technology, 37141 Karlskrona, Sweden – name: 4 Department of ICT, University of Agder, 4630 Kristiansand, Norway – name: 2 College of Computer Science and Engineering, University of Ha’il, Ha’il 8650, Saudi Arabia – name: 6 Computer Engineering Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt – name: 1 Department of Communication and Computer Engineering, Higher Institute of Engineering, El-Shorouk Academy, El-Shorouk City 11837, Egypt |
| Author_xml | – sequence: 1 givenname: Fatma H. surname: El-Fouly fullname: El-Fouly, Fatma H. – sequence: 2 givenname: Ahmed Y. orcidid: 0000-0003-4880-6698 surname: Khedr fullname: Khedr, Ahmed Y. – sequence: 3 givenname: Md. Haidar orcidid: 0000-0001-7235-6004 surname: Sharif fullname: Sharif, Md. Haidar – sequence: 4 givenname: Eissa Jaber surname: Alreshidi fullname: Alreshidi, Eissa Jaber – sequence: 5 givenname: Kusum surname: Yadav fullname: Yadav, Kusum – sequence: 6 givenname: Huseyin orcidid: 0000-0001-5762-6678 surname: Kusetogullari fullname: Kusetogullari, Huseyin – sequence: 7 givenname: Rabie A. orcidid: 0000-0002-0281-9381 surname: Ramadan fullname: Ramadan, Rabie A. |
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| Cites_doi | 10.1109/JSEN.2021.3051451 10.1109/ACCESS.2021.3090979 10.1016/j.comcom.2007.05.024 10.1155/2020/9040395 10.1109/TII.2013.2261082 10.1109/TII.2009.2017938 10.1109/JIOT.2019.2897119 10.3233/IFS-162124 10.1016/j.adhoc.2018.08.012 10.1109/ICOEI.2018.8553894 10.1049/iet-wss.2017.0099 10.1186/2192-1962-2-13 10.1016/j.comnet.2012.01.023 10.1016/j.comcom.2019.10.003 10.1016/j.adhoc.2003.09.010 10.1109/TPDS.2013.240 10.1109/JAS.2016.7373764 10.1109/ACCESS.2020.3041118 10.1109/ACCESS.2022.3177190 10.1016/j.procs.2018.05.092 10.1201/9780203489635 10.1109/ACCESS.2021.3087602 10.1109/TGCN.2021.3067885 10.1007/s11276-019-02247-5 10.1109/ACCESS.2022.3152804 10.1109/ACCESS.2020.3020158 10.1007/s11276-016-1270-7 |
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| SubjectTerms | Algorithms Clustering Clustering protocol Clusterings Computer network protocols Energy energy balance Energy consumption Energy dissipation Energy efficiency Energy efficient Energy management systems Energy utilization Genetic algorithms Heterogeneous networks Internet protocols Key parts Lifetime Methods Power management (telecommunication) reliability Reliable data delivery routing Routing protocols Routings Sensor nodes Sensors Sink nodes Time energy Well data Wireless communications Wireless sensor networks |
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| Title | ERCP: Energy-Efficient and Reliable-Aware Clustering Protocol for Wireless Sensor Networks |
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