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Sensors 2016, 16(8), 1334; doi:10.3390/s16081334

Clustering and Beamforming for Efficient Communication in Wireless Sensor Networks

1
Department of Signal Theory, Telematics and Communications—CITIC, University of Granada, 18071 Granada, Spain
2
Department of Computer Science and Programming Languages, University of Malaga, 29071 Malaga, Spain
3
Department of Computer and Telematics Systems Engineering, University of Extremadura, 06800 Merida, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Yu Wang
Received: 31 May 2016 / Revised: 12 August 2016 / Accepted: 12 August 2016 / Published: 20 August 2016
View Full-Text   |   Download PDF [24767 KB, uploaded 20 August 2016]   |  

Abstract

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. View Full-Text
Keywords: wireless sensors networks; energy efficiency; beamforming; optimization techniques wireless sensors networks; energy efficiency; beamforming; optimization techniques
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MDPI and ACS Style

Porcel-Rodríguez, F.; Valenzuela-Valdés, J.; Padilla, P.; Luna-Valero, F.; Luque-Baena, R.; López-Gordo, M.Á. Clustering and Beamforming for Efficient Communication in Wireless Sensor Networks. Sensors 2016, 16, 1334.

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