Research on IoT Traffic Engineering using SDN

2018 Fiscal Year Final Research Report

• Project/Area Number: 16K16052
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Information network
• Research Institution: National Institute of Information and Communications Technology
• Principal Investigator: Yamanaka Hiroaki 国立研究開発法人情報通信研究機構, 総合テストベッド研究開発推進センターテストベッド研究開発運用室, 研究員 (60614518)
• Project Period (FY): 2016-04-01 – 2019-03-31
• Keywords: SDN / IoT / センサーデータ

Outline of Final Research Achievements

This research realizes prediction of the data traffic volume in a network from IoT sensor devices, and methods of path allocation and flow entry setting using SDN. From the simulation results, the number of flow entries and the number of control messages for flow setting are reduced, compared to the conventional method that sets flow entries for each communication of each device. Furthermore, we develop a prototype system considering the edge computing environment that is suitable for sensor data collection. The operation verification shows that the system can be applied to traffic engineering for sensor data collection.

Free Research Field

ネットワーク仮想化

Academic Significance and Societal Importance of the Research Achievements

本研究で提案したパス割当て手法は、今後普及が期待されるIoTにおいて、多数のデバイスからのデータ収集において、効率的なネットワークインフラ資源の利用に寄与する。インフラ資源の新規投資および膨大な運用コスト抑制の効果が期待できる。