Implementation and Proof Experiment of Communication Network for Disaster Prevention Using LPWA

Kazuaki Tanaka, Hiroyuki Maeda, Keisuke Yamashita, Yan Liu, Hemanta Hazarika

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One of the negative influence of climate change is the occurrence of large-scale disasters. All over the world, climate change-related disasters such as torrential rains, heavy snowfalls, floods, and landslides are occurring. For example, the number of torrential rains has increased 1.4 times in the last ten years and is increasing dramatically. In the case of a large-scale disaster, communication and power supply are not available; Typhoon No. 15 in 2019 caused a 20-day power outage in Chiba prefecture, Japan. The power outage also causes the carrier communication network inoperable, leading to a secondary disaster that prevented smooth evacuation instructions. A system that can stably collect weather data and provide evacuation instructions at public facilities in the case of a disaster would greatly contribute to disaster prevention. The authors developed a general-purpose communication module for LPWA-based communication and designed a protocol to build an autonomous mesh communication network. This paper describes the implementation of this developed system for a ground monitoring system using soil sensors and reports on the proof experiment.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2022 Workshops, Proceedings
EditorsOsvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Ana Maria A.C. Rocha, Chiara Garau
PublisherSpringer Science and Business Media Deutschland GmbH
Pages47-56
Number of pages10
ISBN (Print)9783031105449
DOIs
Publication statusPublished - 2022
Event22nd International Conference on Computational Science and Its Applications , ICCSA 2022 - Malaga, Spain
Duration: Jul 4 2022Jul 7 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13379 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Computational Science and Its Applications , ICCSA 2022
Country/TerritorySpain
CityMalaga
Period7/4/227/7/22

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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