Shigeno, Hiroshi

写真a

Affiliation

Faculty of Science and Technology, Department of Information and Computer Science (Yagami)

Position

Professor

Related Websites

Profile Summary 【 Display / hide

  • This laboratory is focused on computer networking, mobile computing, and ubiquitous computing, as well as building protocols, mechanisms, architectures, and applications for high-speed networks and wireless networks to provide better performance, higher availability, and secure network services. Our current research interests are in wireless networking architecture and protocols, protocols and applications for Intelligent Transport Systems (ITS), information-centric networking, mobile edge computing, and network security.

Other Affiliation 【 Display / hide

  • Research Institute for Digital Media and Content, Director

  • Graduate School of Science and Technology, School of Science for Open and Environmental Systems, Center for Information and Computer Science

Career 【 Display / hide

  • 2012.04
    -
    Present

    Keio University, Department of Information and Computer Science, Professor

  • 2019.04
    -
    Present

    Cabinet Office, Government of Japan, Bureau of Science, Technology and Innovation, Senior Science and Technology Policy Fellow

  • 1994.11
    -
    1995.02

    Keio University, Department of Information and Computer Science, Research Assistant

  • 1998.04
    -
    2000.03

    Keio University, Department of Information and Computer Science, Assistant Professor (Non-tenured)

  • 2000.04
    -
    2003.03

    Keio University, Department of Information and Computer Science, Assistant Professor

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Academic Background 【 Display / hide

  • 1990.03

    Keio University, Faculty of Science and Engineering, 計測工学

    University, Graduated

  • 1992.03

    Keio University, Graduate School, Division of Science and Engineering, 計測工学専攻

    Graduate School, Completed, Master's course

  • 1997.03

    Keio University, Graduate School, Division of Science and Engineering, 計測工学専攻

    Graduate School, Completed, Doctoral course

Academic Degrees 【 Display / hide

  • Ph.D in Engineering, Keio University, Coursework, 1997.03

    A Communication Platform for Mobile Computing

 

Research Areas 【 Display / hide

  • Information network

Research Keywords 【 Display / hide

  • Network Architecture

  • Network Protocol

  • Mobile Computing

  • Wireless Networks

  • Intelligent Transport Systems

 

Books 【 Display / hide

  • 情報学基礎 第2版

    重野 寛, 岡田謙一他, 共立出版, 2013.11

  • 情報学基礎

    重野 寛, 岡田謙一他, 共立出版, 2013.03

  • ユビキタスコンピューティング

    SHIGENO HIROSHI, オーム社, 2009.07

  • IPv6プロトコル徹底解説

    生田りえ子,勝本道哲,重野寛, 日経BP社, 2001.03

  • IT TEXTシリーズ コンピュータネットワーク

    松下温,重野寛,屋代智之, オーム社, 2000.09

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Papers 【 Display / hide

  • A scheduling scheme for autonomous vehicle highway merging with an outflow traffic and fairness analysis

    Kunibe M., Asahina H., Shigeno H., Sasase I.

    IEEE Access (IEEE Access)  9   49219 - 49232 2021

     View Summary

    Recently, vehicle-to-infrastructure (V2I) communication-based scheduling schemes for connected and automated vehicles (CAVs) on highway on-ramps have received attention because the schemes assign optimal merging times to CAVs based on their criteria, such as first-in first-out order or minimizing CAV total travel time. However, these schemes cause traffic congestion due to the criteria when the vehicle inflow traffic becomes high. To mitigate traffic congestion, a scheduling scheme should assign merging times to CAVs to decrease road vehicle density. In this paper, we propose a scheduling scheme for autonomous vehicle highway merging with an outflow traffic and fairness analysis. We formulate a multiobjective function that achieves both outflow traffic maximization and fairness in assigned merging times. Since more vehicles pass a highway on-ramp as highway on-ramp outflow traffic increases, the proposed scheme decreases vehicle density on roads by maximizing the outflow traffic. Furthermore, the proposed scheme distributes the vehicle density on both the main and ramp roads by fairly assigning their merging times. Simulation results show that the proposed scheme mitigates the potential traffic congestion of previous scheduling schemes. Furthermore, the proposed scheme improves outflow traffic from highway on-ramps by more than 200 veh/h compared with the previous scheduling schemes.

  • A Scheduling Scheme for Cooperative Merging at a Highway On-Ramp with Maximizing Average Speed of Automated Vehicles

    Yoshida M., Asahina H., Shigeno H., Sasase I.

    IEEE Vehicular Technology Conference (IEEE Vehicular Technology Conference)  2020-November 2020.11

    ISSN  9781728194844

     View Summary

    Recently, connected and automated vehicles have potential to mitigate traffic congestion and improve traffic efficiency at a highway on-ramp. Especially, vehicle to infrastructure communication based scheduling schemes are paid attention because a central control server can assign merging timing to automated vehicles to improve traffic efficiency on whole roads. Although several schemes calculate merging timing based on their criteria, these schemes cause traffic congestion when inflow traffic becomes high. In order to solve this problem, it is necessary to schedule merging timing of vehicles such that density of vehicles decreases on whole roads. In this paper, we propose a scheduling scheme for cooperative merging at a highway on-ramp with maximizing average speed of automated vehicles. The main idea of the proposed scheme is to utilize the traffic model that density and speed of vehicles have a negative correlation. By utilizing the traffic model, the proposed scheme preferentially assigns merging timing to vehicles which are on a congested road by maximizing average speed of all vehicles on whole roads. Simulation result shows that the proposed scheme decreases density of vehicles on whole roads even if inflow traffic becomes high. Furthermore, the proposed scheme improves outflow traffic from a highway on-ramp by 400 (veh/h) at most in comparison with related schemes.

  • Dynamic Task Offload System Adapting to the State of Network Resources in Mobile Edge Computing

    Satake H., Kobayashi Y., Tani R., Shigeno H.

    2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020 (2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020)   2020.03

    ISSN  9781728147161

     View Summary

    © 2020 IEEE. In disaster situation, collecting information about victims and disaster area quickly is required. However, it is expected that the communication environment is not fully prepared because communication facilities may be damaged. Mobile Edge Computing (MEC) is attracting attention, in which servers are distributed to the vicinity of end users. Thus, dynamic task offloading adapting to changes of network resources is useful in unstable network. This paper proposes a dynamic task offload system based on the state of network. The proposed offload system consists of two mechanisms. First mechanism is Software Defined Mobile Edge Computing (SDMEC) architecture. Second mechanism is dynamic task placement based on the state of network resources. We formulated an optimization problem to minimize the total response time while application execution. In the proposed offload system, multiple tasks are placed dynamically depending on the load of servers and network resources to minimize response time of application. We implemented the prototype of the proposed offload system and evaluated its performance.

  • モバイルクラウドセンシングにおける持続的な協力のためのインセンティブメカニズム

    浅井菜々香, 五箇奏乃子, 重野寛

    情報処理学会論文誌 61 ( 2 ) 397 - 405 2020.02

    Research paper (scientific journal), Joint Work, Accepted

  • A Task Placement System for Face Recognition Applications in Edge Computing

    Satake H., Tani R., Shigeno H.

    2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020 (2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020)   2020.01

    ISSN  9781728138930

     View Summary

    © 2020 IEEE. Mobile devices have certain restrictions such as processing power and network bandwidth. Edge computing can reduce load and delay by migrating the parts of application processing from mobile devices to edge servers. Edge computing is a method that extends cloud computing to the edge of network. Conventional schemes of face recognition based on edge computing can reduce the amount of network transmission data between the edge servers and the cloud servers by preprocessing data on the edge servers. However, the schemes execute each task on a certain resource, thus application response time may increase according to the conditions of computational resources and network. Hence, a task placement system considering the conditions of computational resources and network is necessary. This paper proposes a task placement system for face recognition applications in edge computing. The proposed system calculates estimated response time of possible task placements based on the task placement decision formula. The formula parameterizes power and CPU utilization of computational resources and delay and bandwidth of network. The task placement that minimizes estimated response time is determined. We implemented a prototype of the proposed task placement system and evaluated its performance through experiment.

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Papers, etc., Registered in KOARA 【 Display / hide

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Reviews, Commentaries, etc. 【 Display / hide

Presentations 【 Display / hide

  • IoTサービス基盤から考えるネットワーク仮想化技術 —情報流の視点から—

    重野 寛

    電子情報通信学会2017年総合大会, 2017.03, Symposium, Workshop, Panelist (nomination)

  • Reputation Aggregation Method Considering Reliability of Newly Joining Peers in Unstructured P2P Networks

    Takashi Yajima, Hiroki Ushikubo, Hiroshi Shigeno

    International Conference on Broadband, Wireless Computing, Communication and Applications (BWCCA 2012) (Victoria, Canada) , 2012.11, Oral Presentation(general)

  • Comparative Evaluation of Information Dissemination Method for Dynamic Vehicular Route Planning

    Koichiro Hara, Masaki Suzuki, Taisei Tokuda, Hiroshi Shigeno

    International Conference on ITS Telecommunications (ITST 2012) (Taipei, Taiwan) , 2012.11, Oral Presentation(general)

  • P2Pライブストリーミングサービスにおける拡散率に基づくチャンク交換手法

    酒田良樹, 高山和幸, 遠藤伶, 重野寛

    第20回マルチメディア通信と分散処理ワークショップ (愛媛県松山市) , 2012.10, Oral Presentation(general), 情報処理学会

  • A Chunk Scheduling based on Chunk Diffusion Ratio on P2P Live Streaming

    Yoshiki Sakata, Kazuyuki Takayama, Rei Endo, Hiroshi Shigeno

    International Conference on Network-Based Information Systems (NBiS2012) (Melbourne, Australia) , 2012.09, Oral Presentation(general)

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Research Projects of Competitive Funds, etc. 【 Display / hide

  • V2X-based Collective Perception for Cooperative Driving in Mixed Traffic

    2020.04
    -
    2024.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, 重野 寛, Grant-in-Aid for Scientific Research (B), Principal Investigator

  • 自動車アドホックネットワークにおける情報指向アプローチによる分散情報共有基盤

    2016.04
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    2020.03

    MEXT,JSPS, Grant-in-Aid for Scientific Research, 重野 寛, Grant-in-Aid for Scientific Research (B), Principal Investigator

Awards 【 Display / hide

  • IPSJ Fellow, Information Processing Society of Japan

    2019.06, Information Processing Society of Japan

    Type of Award: Awards of National Conference, Council and Symposium

  • 独立行政法人日本学術振興会「科研費」審査員表彰

    2015.10, 独立行政法人日本学術振興会

    Type of Award: Other Awards

  • 電子情報通信学会通信ソサエティ活動功労賞

    2015.09, 電子情報通信学会通信ソサエティ

    Type of Award: Awards of National Conference, Council and Symposium

  • 第24回マルチメディア通信と分散処理ワークショップ(DPSWS2016) 優秀論文賞

    小川紘基, 柳田諒, 五味和良, 重野寛, 2016.10, 第24回マルチメディア通信と分散処理ワークショップ(DPSWS2016), インフラレスの動的走行経路案内のための双方向シミュレーションの実装と評価

    Type of Award: Awards of National Conference, Council and Symposium

  • 情報処理学会 2016年度学会活動貢献賞「第78回全国大会開催への貢献」

    2017.06

    Type of Award: Awards of National Conference, Council and Symposium

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Courses Taught 【 Display / hide

  • RECITATION IN INFORMATION AND COMPUTER SCIENCE

    2021

  • NETWORK ENGINEERING 2

    2021

  • LABORATORIES IN INFORMATION AND COMPUTER SCIENCE 2

    2021

  • INTRODUCTION TO INFORMATICS

    2021

  • INDEPENDENT STUDY ON SCIENCE FOR OPEN AND ENVIRONMENTAL SYSTEMS

    2021

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Social Activities 【 Display / hide

  • 実環境を想定した自動走行支援通信のメッセージセット及びプロトコルに関する調査検討会 委員

    2018.10
    -
    2019.03
  • 公益財団法人佐藤陽国際奨学財団 選考委員

    2018.09
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    2020.08
  • 平成30年度Connected Car社会の実現に向けた既存ITS用無線システムの高度化を行うための技術的条件等に関する調査検討会

    2018.09
    -
    2019.03
  • Connected Car社会の実現に向けた既存ITS用無線システムを補完する新たな無線システムの技術的条件等に関する調査検討会

    2018.08
    -
    2019.03
  • 国立研究開発法人情報通信研究機構 高度通信・研究会開発委託研究評価委員会 委員

    2018.04
    -
    2020.03

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Memberships in Academic Societies 【 Display / hide

  • 情報処理学会

     
  • 電子情報通信学会

     
  • ACM

     
  • IEEE

     

Committee Experiences 【 Display / hide

  • 2017.06
    -
    2019.06

    IPSJ Director, Information Processing Society of Japan (IPSJ)

  • 2019.06
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    2022.06

    Chair, ITS Info-communications Forum, Advanced ITS Info-communication Systems Committee

  • 2018.04
    -
    Present

    Chief Examiner, Information Processing Society of Japan (IPSJ), IPSJ SIG on Intelligent Transport Systems and Smart Community

  • 2018.01
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    2019.12

    Information Services Committee, Co-Chair, IEEE ComSoc Asia Pacific Board

  • 2018.11
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    2020.10

    技術推進機構 SIPインフラ連携委員会 新技術の地域実装促進小委員会(仮称) 幹事, (社)土木学会

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