Kyutacarは九州工業大学で生産された研究成果を オープンアクセスで提供する機関リポジトリシステムです。 Kyutacar is open-access repository of research by members of the Kyushu Institute of Technology.
Kyushu Institute of Technology
Kyushu Institute of Technology
Kyushu Institute of Technology
抄録
With the development and spread of Internet of Things (IoT) technologies, various organizations in industry, academia, and government have begun collecting numerous types of data using sensor devices, which they then use to predict trends and identify potential problems with the services they provide. In the IoT, low power wide area (LPWA) networks can achieve low power consumption and provide a wide range of communication options that ensure constant service provision to deployed sensors. In particular, LoRa digital wireless communication technology, which has an open specification, uses an unlicensed band, and is inexpensive to install, is becoming increasingly popular and the number of sensors equipped with it is expected to grow in the future. However, since LoRa has insufficient specifications and verifications to resist channel contention within a heavily used frequency band, the performance of that technology is unclear when the number of sensors using the same frequency band increases. In this paper, we clarify the experimental performance of LoRa when multiple wireless communication nodes compete in different patterns.
内容記述
5th Annual Conference on Computational Science & Computational Intelligence (CSCI'18), December 13-15, 2018, Las Vegas, Nevada, USA
雑誌名
2018 International Conference on Computational Science and Computational Intelligence（CSCI'18）
発行年
2020-01-02
出版者
IEEE
ISBN
978-1-7281-1360-9
978-1-7281-1361-6
DOI
http://dx.doi.org/10.1109/CSCI46756.2018.00200
権利
Copyright (c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Experimental Performance Evaluation of the Collisions in LoRa Communications
RECN_2018-08.pdf
(1.56MB)
