Enhancement of network lifetime using fuzzy clustering and multidirectional routing for wireless sensor networks
Abstract Wireless sensors are those devices which sense any physical quantity. Group of sensor node working together can be termed as a wireless sensor network (WSN). The lifetime of WSN is critical and is based greatly on energy consumption for data transmission. By using the available energy effic...
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| Autor*in: |
Kiran, W. S. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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| Übergeordnetes Werk: |
Enthalten in: Soft computing - Springer Berlin Heidelberg, 1997, 24(2020), 15 vom: 06. Apr., Seite 11805-11818 |
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| Übergeordnetes Werk: |
volume:24 ; year:2020 ; number:15 ; day:06 ; month:04 ; pages:11805-11818 |
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10.1007/s00500-020-04900-0 |
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10.1007/s00500-020-04900-0 doi (DE-627)OLC2034910273 (DE-He213)s00500-020-04900-0-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 11 ssgn Kiran, W. S. verfasserin aut Enhancement of network lifetime using fuzzy clustering and multidirectional routing for wireless sensor networks 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Wireless sensors are those devices which sense any physical quantity. Group of sensor node working together can be termed as a wireless sensor network (WSN). The lifetime of WSN is critical and is based greatly on energy consumption for data transmission. By using the available energy efficiently, the nodes can operate for a longer time thereby increasing the network lifetime. In this paper, fuzzy-based clustering is used for clustering, which selects an optimal cluster head (CH). Fuzzy clustering is made with the help of residual energy and distance as fuzzy descriptors. However, when the network is heterogeneous, fuzzy-based clustering is found in efficient in many cases. To improve efficiency, a multidirectional routing is proposed along with fuzzy clustering. Using multidirectional routing, possible multiple paths between node and BS will be found out and the path with least hop will be selected as a routing path. The simulation results have been compared with traditional low energy adaptive clustering hierarchy, and a significant improvement in the lifetime of a node has been observed. Clustering Fuzzy logic Cluster head (CH) Multidirectional routing LEACH Smys, S. aut Bindhu, V. aut Enthalten in Soft computing Springer Berlin Heidelberg, 1997 24(2020), 15 vom: 06. Apr., Seite 11805-11818 (DE-627)231970536 (DE-600)1387526-7 (DE-576)060238259 1432-7643 nnns volume:24 year:2020 number:15 day:06 month:04 pages:11805-11818 https://doi.org/10.1007/s00500-020-04900-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 24 2020 15 06 04 11805-11818 |
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10.1007/s00500-020-04900-0 doi (DE-627)OLC2034910273 (DE-He213)s00500-020-04900-0-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 11 ssgn Kiran, W. S. verfasserin aut Enhancement of network lifetime using fuzzy clustering and multidirectional routing for wireless sensor networks 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Wireless sensors are those devices which sense any physical quantity. Group of sensor node working together can be termed as a wireless sensor network (WSN). The lifetime of WSN is critical and is based greatly on energy consumption for data transmission. By using the available energy efficiently, the nodes can operate for a longer time thereby increasing the network lifetime. In this paper, fuzzy-based clustering is used for clustering, which selects an optimal cluster head (CH). Fuzzy clustering is made with the help of residual energy and distance as fuzzy descriptors. However, when the network is heterogeneous, fuzzy-based clustering is found in efficient in many cases. To improve efficiency, a multidirectional routing is proposed along with fuzzy clustering. Using multidirectional routing, possible multiple paths between node and BS will be found out and the path with least hop will be selected as a routing path. The simulation results have been compared with traditional low energy adaptive clustering hierarchy, and a significant improvement in the lifetime of a node has been observed. Clustering Fuzzy logic Cluster head (CH) Multidirectional routing LEACH Smys, S. aut Bindhu, V. aut Enthalten in Soft computing Springer Berlin Heidelberg, 1997 24(2020), 15 vom: 06. Apr., Seite 11805-11818 (DE-627)231970536 (DE-600)1387526-7 (DE-576)060238259 1432-7643 nnns volume:24 year:2020 number:15 day:06 month:04 pages:11805-11818 https://doi.org/10.1007/s00500-020-04900-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 24 2020 15 06 04 11805-11818 |
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10.1007/s00500-020-04900-0 doi (DE-627)OLC2034910273 (DE-He213)s00500-020-04900-0-p DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 11 ssgn Kiran, W. S. verfasserin aut Enhancement of network lifetime using fuzzy clustering and multidirectional routing for wireless sensor networks 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2020 Abstract Wireless sensors are those devices which sense any physical quantity. Group of sensor node working together can be termed as a wireless sensor network (WSN). The lifetime of WSN is critical and is based greatly on energy consumption for data transmission. By using the available energy efficiently, the nodes can operate for a longer time thereby increasing the network lifetime. In this paper, fuzzy-based clustering is used for clustering, which selects an optimal cluster head (CH). Fuzzy clustering is made with the help of residual energy and distance as fuzzy descriptors. However, when the network is heterogeneous, fuzzy-based clustering is found in efficient in many cases. To improve efficiency, a multidirectional routing is proposed along with fuzzy clustering. Using multidirectional routing, possible multiple paths between node and BS will be found out and the path with least hop will be selected as a routing path. The simulation results have been compared with traditional low energy adaptive clustering hierarchy, and a significant improvement in the lifetime of a node has been observed. Clustering Fuzzy logic Cluster head (CH) Multidirectional routing LEACH Smys, S. aut Bindhu, V. aut Enthalten in Soft computing Springer Berlin Heidelberg, 1997 24(2020), 15 vom: 06. Apr., Seite 11805-11818 (DE-627)231970536 (DE-600)1387526-7 (DE-576)060238259 1432-7643 nnns volume:24 year:2020 number:15 day:06 month:04 pages:11805-11818 https://doi.org/10.1007/s00500-020-04900-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_267 GBV_ILN_2018 GBV_ILN_4277 AR 24 2020 15 06 04 11805-11818 |
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Abstract Wireless sensors are those devices which sense any physical quantity. Group of sensor node working together can be termed as a wireless sensor network (WSN). The lifetime of WSN is critical and is based greatly on energy consumption for data transmission. By using the available energy efficiently, the nodes can operate for a longer time thereby increasing the network lifetime. In this paper, fuzzy-based clustering is used for clustering, which selects an optimal cluster head (CH). Fuzzy clustering is made with the help of residual energy and distance as fuzzy descriptors. However, when the network is heterogeneous, fuzzy-based clustering is found in efficient in many cases. To improve efficiency, a multidirectional routing is proposed along with fuzzy clustering. Using multidirectional routing, possible multiple paths between node and BS will be found out and the path with least hop will be selected as a routing path. The simulation results have been compared with traditional low energy adaptive clustering hierarchy, and a significant improvement in the lifetime of a node has been observed. © Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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Abstract Wireless sensors are those devices which sense any physical quantity. Group of sensor node working together can be termed as a wireless sensor network (WSN). The lifetime of WSN is critical and is based greatly on energy consumption for data transmission. By using the available energy efficiently, the nodes can operate for a longer time thereby increasing the network lifetime. In this paper, fuzzy-based clustering is used for clustering, which selects an optimal cluster head (CH). Fuzzy clustering is made with the help of residual energy and distance as fuzzy descriptors. However, when the network is heterogeneous, fuzzy-based clustering is found in efficient in many cases. To improve efficiency, a multidirectional routing is proposed along with fuzzy clustering. Using multidirectional routing, possible multiple paths between node and BS will be found out and the path with least hop will be selected as a routing path. The simulation results have been compared with traditional low energy adaptive clustering hierarchy, and a significant improvement in the lifetime of a node has been observed. © Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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Abstract Wireless sensors are those devices which sense any physical quantity. Group of sensor node working together can be termed as a wireless sensor network (WSN). The lifetime of WSN is critical and is based greatly on energy consumption for data transmission. By using the available energy efficiently, the nodes can operate for a longer time thereby increasing the network lifetime. In this paper, fuzzy-based clustering is used for clustering, which selects an optimal cluster head (CH). Fuzzy clustering is made with the help of residual energy and distance as fuzzy descriptors. However, when the network is heterogeneous, fuzzy-based clustering is found in efficient in many cases. To improve efficiency, a multidirectional routing is proposed along with fuzzy clustering. Using multidirectional routing, possible multiple paths between node and BS will be found out and the path with least hop will be selected as a routing path. The simulation results have been compared with traditional low energy adaptive clustering hierarchy, and a significant improvement in the lifetime of a node has been observed. © Springer-Verlag GmbH Germany, part of Springer Nature 2020 |
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Enhancement of network lifetime using fuzzy clustering and multidirectional routing for wireless sensor networks |
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https://doi.org/10.1007/s00500-020-04900-0 |
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Smys, S. Bindhu, V. |
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