Clustering and Beamforming for Efficient Communication in Wireless Sensor Networks
Energy efficiency is a critical issue for wireless sensor networks (WSNs) as sensor nodes have limited power availability. In order to address this issue, this paper tries to maximize the power efficiency in WSNs by means of the evaluation of WSN node networks and their performance when both cluster...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-08-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/16/8/1334 |
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| author | Francisco Porcel-Rodríguez Juan Valenzuela-Valdés Pablo Padilla Francisco Luna-Valero Rafael Luque-Baena Miguel Ángel López-Gordo |
| author_facet | Francisco Porcel-Rodríguez Juan Valenzuela-Valdés Pablo Padilla Francisco Luna-Valero Rafael Luque-Baena Miguel Ángel López-Gordo |
| author_sort | Francisco Porcel-Rodríguez |
| collection | DOAJ |
| description | Energy efficiency is a critical issue for wireless sensor networks (WSNs) as sensor nodes have limited power availability. In order to address this issue, this paper tries to maximize the power efficiency in WSNs by means of the evaluation of WSN node networks and their performance when both clustering and antenna beamforming techniques are applied. In this work, four different scenarios are defined, each one considering different numbers of sensors: 50, 20, 10, five, and two nodes per scenario, and each scenario is randomly generated thirty times in order to statistically validate the results. For each experiment, two different target directions for transmission are taken into consideration in the optimization process (φ = 0° and θ = 45°; φ = 45°, and θ = 45°). Each scenario is evaluated for two different types of antennas, an ideal isotropic antenna and a conventional dipole one. In this set of experiments two types of WSN are evaluated: in the first one, all of the sensors have the same amount of power for communications purposes; in the second one, each sensor has a different amount of power for its communications purposes. The analyzed cases in this document are focused on 2D surface and 3D space for the node location. To the authors’ knowledge, this is the first time that beamforming and clustering are simultaneously applied to increase the network lifetime in WSNs. |
| first_indexed | 2024-04-11T22:29:05Z |
| format | Article |
| id | doaj.art-234f17c66d424612aaa25f223145a557 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:29:05Z |
| publishDate | 2016-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-234f17c66d424612aaa25f223145a5572022-12-22T03:59:32ZengMDPI AGSensors1424-82202016-08-01168133410.3390/s16081334s16081334Clustering and Beamforming for Efficient Communication in Wireless Sensor NetworksFrancisco Porcel-Rodríguez0Juan Valenzuela-Valdés1Pablo Padilla2Francisco Luna-Valero3Rafael Luque-Baena4Miguel Ángel López-Gordo5Department of Signal Theory, Telematics and Communications—CITIC, University of Granada, 18071 Granada, SpainDepartment of Signal Theory, Telematics and Communications—CITIC, University of Granada, 18071 Granada, SpainDepartment of Signal Theory, Telematics and Communications—CITIC, University of Granada, 18071 Granada, SpainDepartment of Computer Science and Programming Languages, University of Malaga, 29071 Malaga, SpainDepartment of Computer and Telematics Systems Engineering, University of Extremadura, 06800 Merida, SpainDepartment of Signal Theory, Telematics and Communications—CITIC, University of Granada, 18071 Granada, SpainEnergy efficiency is a critical issue for wireless sensor networks (WSNs) as sensor nodes have limited power availability. In order to address this issue, this paper tries to maximize the power efficiency in WSNs by means of the evaluation of WSN node networks and their performance when both clustering and antenna beamforming techniques are applied. In this work, four different scenarios are defined, each one considering different numbers of sensors: 50, 20, 10, five, and two nodes per scenario, and each scenario is randomly generated thirty times in order to statistically validate the results. For each experiment, two different target directions for transmission are taken into consideration in the optimization process (φ = 0° and θ = 45°; φ = 45°, and θ = 45°). Each scenario is evaluated for two different types of antennas, an ideal isotropic antenna and a conventional dipole one. In this set of experiments two types of WSN are evaluated: in the first one, all of the sensors have the same amount of power for communications purposes; in the second one, each sensor has a different amount of power for its communications purposes. The analyzed cases in this document are focused on 2D surface and 3D space for the node location. To the authors’ knowledge, this is the first time that beamforming and clustering are simultaneously applied to increase the network lifetime in WSNs.http://www.mdpi.com/1424-8220/16/8/1334wireless sensors networksenergy efficiencybeamformingoptimization techniques |
| spellingShingle | Francisco Porcel-Rodríguez Juan Valenzuela-Valdés Pablo Padilla Francisco Luna-Valero Rafael Luque-Baena Miguel Ángel López-Gordo Clustering and Beamforming for Efficient Communication in Wireless Sensor Networks Sensors wireless sensors networks energy efficiency beamforming optimization techniques |
| title | Clustering and Beamforming for Efficient Communication in Wireless Sensor Networks |
| title_full | Clustering and Beamforming for Efficient Communication in Wireless Sensor Networks |
| title_fullStr | Clustering and Beamforming for Efficient Communication in Wireless Sensor Networks |
| title_full_unstemmed | Clustering and Beamforming for Efficient Communication in Wireless Sensor Networks |
| title_short | Clustering and Beamforming for Efficient Communication in Wireless Sensor Networks |
| title_sort | clustering and beamforming for efficient communication in wireless sensor networks |
| topic | wireless sensors networks energy efficiency beamforming optimization techniques |
| url | http://www.mdpi.com/1424-8220/16/8/1334 |
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