RSSI-Based Indoor Localization With the Internet of Things
RSSI-Based Indoor Localization With the Internet of Things
复制标题
DOI：
10.1109/access.2018.2843325
复制
发表时间：
2018-01-01
期刊：
影响因子：
3.9
通讯作者：
Spachos, Petros
中科院分区：
文献类型：
--
作者：
Sadowski, Sebastian;Spachos, Petros
在智慧城市时代，室内环境的本地化非常重要，从智能建筑的监控和跟踪到购物中心的邻近营销和广告，有大量的应用。这些应用的成功是基于开发一个具有成本效益和强大的实时系统，能够准确定位物体。在大多数户外定位系统中，使用全球定位系统（GPS），因为它易于实现，精度可达5米。然而，由于对室内环境进行定位的空间有限，以及室内发现的大量障碍物，GPS不是一个合适的选择。因此，准确有效地定位物体是室内环境中的主要挑战。物联网（IoT）的最新进展以及新颖的无线技术可以缓解这个问题。使用无线协议的小型和经济高效的物联网设备可以提供有吸引力的解决方案。在本文中，我们比较了四种用于室内定位的无线技术：Wi-Fi （2.4 GHz频段的IEEE 802.11n-2009）、低功耗蓝牙、Zigbee和远程广域网。在使用物联网设备时，这些技术在定位精度和功耗方面进行了比较。使用每种模式的接收信号强度指标（RSSI）值，并进行三边定位。RSSI数据集可在线获取。实验结果可作为室内定位系统无线技术选择的参考依据。
In the era of smart cities, there are a plethora of applications where the localization of indoor environments is important, from monitoring and tracking in smart buildings to proximity marketing and advertising in shopping malls. The success of these applications is based on the development of a cost-efficient and robust real-time system capable of accurately localizing objects. In most outdoor localization systems, global positioning system (GPS) is used due to its ease of implementation and accuracy up to five meters. However, due to the limited space that comes with performing localization of indoor environments and the large number of obstacles found indoors, GPS is not a suitable option. Hence, accurately and efficiently locating objects is a major challenge in indoor environments. Recent advancements in the Internet of Things (IoT) along with novel wireless technologies can alleviate the problem. Small-size and cost-efficient IoT devices which use wireless protocols can provide an attractive solution. In this paper, we compare four wireless technologies for indoor localization: Wi-Fi (IEEE 802.11n-2009 at the 2.4 GHz band), Bluetooth low energy, Zigbee, and long-range wide-area network. These technologies are compared in terms of localization accuracy and power consumption when IoT devices are used. The received signal strength indicator (RSSI) values from each modality were used and trilateration was performed for localization. The RSSI data set is available online. The experimental results can be used as an indicator in the selection of a wireless technology for an indoor localization system following application requirements.