Received signal strength indication (RSSI) code assessment for wireless sensors network (WSN) deployed Raspberry-Pi

2016 International Conference on Robotics, Automation and Sciences (ICORAS) Pub Date : 2016-11-01 DOI:10.1109/ICORAS.2016.7872618

M. Jais, T. Sabapathy, M. Jusoh, P. Ehkan, L. Murukesan, I. Ismail, R. Ahmad

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引用次数: 10

Abstract

Wireless sensor network (WSN) is commonly used for localization applications. Through sniffing receive signal strength indicator (RSSI) in WSN system, localization and connection to access point highest RSSI can be done automatically. In this paper, we propose Raspberry-Pi (RasPi), based best access point selection method utilizing RSSI metric. The RasPi brings the advantages of a personal computer (PC) to the domain of sensor network, which makes it the perfect platform for interfacing with a wide variety of external peripherals. This work aims to investigate various source codes deployed on RasPi for localization purpose by sniffing the RSSI metric. Consequently, comparative analysis of its key elements and performances with some of the currently available wireless sensor nodes have shown that despite few disadvantages, RasPi remains an inexpensive single board computer (SBC) which has been used very successfully in sensor network domain and diverse range of research applications.

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树莓派部署的无线传感器网络(WSN)接收信号强度指示(RSSI)代码评估

无线传感器网络(WSN)通常用于定位应用。通过嗅探WSN系统中的接收信号强度指标(RSSI)，可以自动定位并连接到RSSI最高的接入点。在本文中，我们提出了基于树莓派(Raspberry-Pi)的最佳接入点选择方法，该方法利用RSSI度量。RasPi将个人计算机(PC)的优点引入传感器网络领域，使其成为与各种外部外设接口的完美平台。这项工作旨在通过嗅探RSSI度量来研究部署在RasPi上的各种源代码，以实现本地化目的。因此，将其关键元件和性能与目前可用的一些无线传感器节点进行比较分析表明，尽管存在一些缺点，但RasPi仍然是一种廉价的单板计算机(SBC)，在传感器网络领域和各种研究应用中得到了非常成功的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 International Conference on Robotics, Automation and Sciences (ICORAS)

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