Wireless Network Tomography Considering Spatio-Temporal Correlation

2018 Fiscal Year Final Research Report

• Project/Area Number: 16K00124
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Information network
• Research Institution: Tokyo Metropolitan University (2018); Osaka University (2016-2017)
• Principal Investigator: Matsuda Takahiro 首都大学東京, システムデザイン研究科, 教授 (50314381)
• Project Period (FY): 2016-04-01 – 2019-03-31
• Keywords: トモグラフィ / 無線通信 / 空間相関

Outline of Final Research Achievements

In this research project, we have considered wireless network tomography techniques considering spatio-temporal correlation properties in wireless links. We tackled two different network tomography problems: estimation of spatial distributions of received power for drone communication and Indoor RSS map estimation. In the former problem, we proposed a tensor-based wireless tomography scheme and a route control for drones for the wireless tomography scheme. In the latter problem, we proposed a Kalman filter-based wireless tomography using mobile measurement nodes. We validated both the schemes with simulation experiments.

Free Research Field

情報通信工学

Academic Significance and Societal Importance of the Research Achievements

本研究で検討している無線トモグラフィでは，信号処理・統計的推定理論に基づく手法を用いており，最新の理論を現実の問題に応用するという意味で学術的意義は高い．また，対象としている問題はドローン通信や緊急時の位置推定等，今後ますます重要となる問題であり，社会的にも意義のある研究である．