• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2022 Fiscal Year Final Research Report

Demonstrative research on LPWA and DTN-based secure emergency data dissemination

Research Project

  • PDF
Project/Area Number 19H04092
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 60060:Information network-related
Research InstitutionShizuoka University

Principal Investigator

Ishihara Susumu  静岡大学, 工学部, 教授 (10313925)

Co-Investigator(Kenkyū-buntansha) 高井 峰生  大阪大学, 情報科学研究科, 招へい准教授 (90277773)
劉 志  電気通信大学, 大学院情報理工学研究科, 准教授 (90750240)
Project Period (FY) 2019-04-01 – 2023-03-31
KeywordsLPWA / 無線]AN / 異種無線混合ネットワーク / DTN / 避難支援 / 避難シミュレーション / 無線LANエミュレーション / すれ違い通信
Outline of Final Research Achievements

We have developed an evacuation support information distribution strategy using DTN in combination with wide-area low-speed communication methods such as LPWA and short-range high-speed wireless communication methods such as wireless LAN, in order to realize reliable evacuation by distributing evacuation support information during emergency evacuation immediately after a disaster. We developed a high-abstraction simulation model based on cellular automata and a detailed simulation model based on multi-agents, and verified the usefulness of the proposed strategy by simulating a tsunami in the vicinity of Lake Hamana. We also developed an emulation system to verify the behavior of real software on Linux OS in combination with wireless LAN simulations.

Free Research Field

情報ネットワーク

Academic Significance and Societal Importance of the Research Achievements

Delay/Disruption Tolerant Network (DTN)によって避難支援情報を配信する場合、避難者の動きの変化がDTNでの情報配信性能に影響を与え、情報配信の結果が避難者の行動に影響を与える。こうした相互作用を考慮して、避難支援情報配信戦略について検討した例は、本取り組みの他に例がない。また、本研究で開発した無線LANエミュレーションシステムは、無線信号強度の変化やそれに応じたシステムソフトウェアの挙動を反映可能なものであり、無線LANにおける接続性のみを反映可能な従来型のエミュレーションシステムと一線を画したものである。

URL: 

Published: 2024-01-30  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi