Clustering and Beamforming for Efficient Communication in Wireless Sensor Networks

作     者：Porcel-Rodriguez, Francisco Valenzuela-Valdes, Juan Padilla, Pablo Luna-Valero, Francisco Luque-Baena, Rafael Angel Lopez-Gordo, Miguel 

作者机构：Univ Granada Dept Signal Theory Telemat & Commun CITIC E-18071 Granada Spain Univ Malaga Dept Comp Sci & Programming Languages E-29071 Malaga Spain Univ Extremadura Dept Comp & Telemat Syst Engn Merida 06800 Spain 

出 版 物：《SENSORS》 (传感器)

年 卷 期：2016年第16卷第8期

页      面：1334-1334页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

基　　金：Government of Extremadura European Regional Development Fund (FEDER) [IB13113] 

主　　题：wireless sensors networks energy efficiency beamforming optimization techniques 

摘      要：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 (phi = 0 degrees and theta = 45 degrees;phi = 45 degrees, and theta = 45 degrees). 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.