Cognitive Load Balance Managements for Mobile Robot Communications

2020 Fiscal Year Final Research Report

• Project/Area Number: 16K06362
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Communication/Network engineering
• Research Institution: Osaka City University
• Principal Investigator: Oka Ikuo 大阪市立大学, 大学院工学研究科, 教授 (80160646)
• Project Period (FY): 2016-04-01 – 2021-03-31
• Keywords: アクセスポイント選択 / SN比推定 / ユーザ数推定 / 適格度メトリック

Outline of Final Research Achievements

The congestion control has often difficulties in the network, where many mobile robots locate in the same area. In this work, a method of routing for mobile robots is presented to reduce the congestion. A metric defined by SNR and traffic load is proposed to select the access point. SNR and traffic estimation methods are developed with an appropriate access point selection metric. Analytical and simulation results are presented for the estimation, and the network simulation confirms the superior performance of the proposed methods.

Free Research Field

通信工学

Academic Significance and Societal Importance of the Research Achievements

本研究では，移動ロボットが集中した場合に外部との通信ができなくなることを防ぐために，WiFiアクセスポイントのメトリックを定義し，メトリックによりアクセスポイントを選択する方式の開発を行った．これにより，移動ロボットはメトリックの高いアクセスポイントの方向を重視して移動することが可能となり安定性の高い通信の維持が実現できる．