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Range-free localization algorithm using a customary drone: Towards a realistic scenario

用一只惯常的雄蜂的没有范围的本地化算法: 向一种现实主义的情形

作     者:Sorbelli, Francesco Betti Pinotti, Cristina M. Ravelomanana, Vlady 

作者机构:Univ Florence Dept Comp Sci & Math Florence Italy Univ Perugia Dept Comp Sci & Math Perugia Italy Univ Paris 07 Dept Comp Sci Paris France 

出 版 物:《PERVASIVE AND MOBILE COMPUTING》 (普适与移动计算)

年 卷 期:2019年第54卷

页      面:1-15页

核心收录:

学科分类:0810[工学-信息与通信工程] 08[工学] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:GEO-SAFE [H2020-691161] Project NALP-SAPR: Navigazione Autonoma e Localizzazione Precisa per Sistemi Aeromobili a Pilotaggio Remoto - FSE-Regione Umbria, Italy Fondo Ricerca di Base, 2018, University of Perugia 

主  题:Drone Range-free Localization Design of algorithm Radio propagation model 

摘      要:The localization of devices is a key ingredient of Internet of Things (IoT) which may require extra cost for deploying anchor nodes aware of their position. In this work, we propose a range-free localization algorithm, called DRONE RANGE-FREE (briefly, DRF), that replaces the anchor nodes with an off-the-shelf drone. When the radio communications are isotropic, our algorithm localizes the IoT devices ensuring the level of precision required by the final user. However, since an isotropic antenna that propagates its signal in a perfect sphere does not exist in reality, we face a more realistic scenario by proposing an enhanced version of our localization algorithm, called DRONE RANGE-FREE ENHANCED (briefly, DRFE), that well tolerates high degrees of irregularity of the antenna signal. Under the anisotropic model, DRF and DRFE exceed in precision all the computational-light previous known range-free localization algorithms based on a mobile rover. (C) 2019 Elsevier B.V. All rights reserved.

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