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作为室内情境感知环境促成因素的无线系统集成中的挑战。

Challenges in Wireless System Integration as Enablers for Indoor Context Aware Environments.

作者信息

López-Iturri Peio, Aguirre Erik, Azpilicueta Leyre, Astrain José Javier, Villandangos Jesús, Falcone Francisco

机构信息

Electrical and Electronic Engineering Department, Public University of Navarre, Pamplona 31006, Spain.

Institute of Smart Cities, Public University of Navarre, Pamplona 31006, Spain.

出版信息

Sensors (Basel). 2017 Jul 12;17(7):1616. doi: 10.3390/s17071616.

DOI:10.3390/s17071616
PMID:28704963
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5539750/
Abstract

The advent of fully interactive environments within Smart Cities and Smart Regions requires the use of multiple wireless systems. In the case of user-device interaction, which finds multiple applications such as Ambient Assisted Living, Intelligent Transportation Systems or Smart Grids, among others, large amount of transceivers are employed in order to achieve anytime, anyplace and any device connectivity. The resulting combination of heterogeneous wireless network exhibits fundamental limitations derived from Coverage/Capacity relations, as a function of required Quality of Service parameters, required bit rate, energy restrictions and adaptive modulation and coding schemes. In this context, inherent transceiver density poses challenges in overall system operation, given by multiple node operation which increases overall interference levels. In this work, a deterministic based analysis applied to variable density wireless sensor network operation within complex indoor scenarios is presented, as a function of topological node distribution. The extensive analysis derives interference characterizations, both for conventional transceivers as well as wearables, which provide relevant information in terms of individual node configuration as well as complete network layout.

摘要

智慧城市和智慧区域中全交互环境的出现需要使用多种无线系统。在用户设备交互的情况下,这种交互在诸如环境辅助生活、智能交通系统或智能电网等多个应用中都有体现,为了实现随时随地、与任何设备的连接,需要使用大量的收发器。异构无线网络的这种组合表现出了一些基本限制,这些限制源自覆盖范围/容量关系,它是所需服务质量参数、所需比特率、能量限制以及自适应调制和编码方案的函数。在这种情况下,由于多个节点的运行会增加整体干扰水平,固有的收发器密度给整个系统的运行带来了挑战。在这项工作中,针对复杂室内场景中可变密度无线传感器网络的运行,提出了一种基于确定性的分析方法,该方法是拓扑节点分布的函数。广泛的分析得出了传统收发器以及可穿戴设备的干扰特征,这些特征在单个节点配置以及完整网络布局方面提供了相关信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0927/5539750/6d970a6c70cf/sensors-17-01616-g017a.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0927/5539750/f720b456099f/sensors-17-01616-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0927/5539750/acba44958239/sensors-17-01616-g011a.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0927/5539750/0805d1cd0fe7/sensors-17-01616-g013.jpg
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