Faculty Profiles - IKENAGA Takeshi

Papers - IKENAGA Takeshi

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Study of Ultrasonic Data Collection System for Anomaly Detection on Mechanical Equipment Reviewed International journal

Rio Shigyo, Daiki Nobayashi, Kazuya Tsukamoto, Mitsunori Mizumachi, Takeshi Ikenaga

Proc. of the 2022 International Conference on Computational Science & Computational Intelligence (CSCI 2022) ( IEEE ) 2022.12

Unknown Malicious Domain Detection Based on DNS Query Analysis using Word2Vec Reviewed International journal

Hiroto Yamada, Daiki Nobayashi, Akihiro Sato, Yutaka Nakamura, Takeshi Ikenaga

Proc. of the 2022 International Conference on Computational Science & Computational Intelligence (CSCI 2022) ( IEEE ) 2022.12

Collision Avoidance Method for Broadcast Communication over Multi-hop HD-PLC Network Reviewed International journal

Yuki Furuhama, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga

Proc. of the 2022 International Conference on Computational Science & Computational Intelligence (CSCI 2022) ( IEEE ) 2022.12

Integrated Artificial Intelligence Technology for Mobility Load Balancing and Coverage Optimization Reviewed International journal

Yi-We Ma, Chun-Yao Chang, Yi-Hao Tu, Jiann-Liang Chen, Kazuya Tsukamoto, Masahiro Shibata, Daiki Nobayashi, Takeshi Ikenaga

Proc. of the 10th International Symposium on Applied Engineering and Sciences (2022) 2022.12

Spatio-temporal Data Retention System for Floating Cyber Physical System Reviewed International journal

Hotaka Kaneyasu, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, Myung Lee

Proc. of the 10th International Symposium on Applied Engineering and Sciences (2022) 2022.12

Implementation and Performance Evaluation of TCP/IP Communication over Private LoRa Reviewed International journal

Jumpei Sakamoto, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, Goshi Sato, Kenichi Takizawa

Proc. of the 30th International Conference on Network Protocols (ICNP 2022) ( IEEE ) 2022.11

Language：English Publishing type：Research paper (international conference proceedings)

USA Lexington, KY 2022.10.30 - 2022.11.02

Low-power wide-area (LPWA) is a major communication technology used in the Internet of Things (IoT). However, since LPWA does not conform to the TCP/IP protocol stack and employs its own unique protocol, it is difficult for sensors equipped with LPWA I/F to connect to the Internet directly. In the present study, to realize general TCP/IP communication on LPWA networks, we construct a TCP/IP network over Private LoRa, and evaluate its communication performance. Moreover, we verify the feasibility of TCP/IP communication over LoRa by using a popular Internet application.

DOI： 10.1109/ICNP55882.2022.9940334

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85142704148&origin=inward

Adaptive Data Transmission Control for Spatio-temporal Data Retention over Crowds of Vehicles Reviewed International journal

Daiki Nobayashi, Ichiro Goto, Hiroki Teshiba, Kazuya Tsukamoto, Takeshi Ikenaga, Mario Gerla

IEEE Transactions on Mobile Computing ( IEEE ) 21 ( 11 ) 3822 - 3835 2022.11

Language：English Publishing type：Research paper (scientific journal)

Some specific services for Internet of Things, such as real-time map and providing local weather information, depend strongly on geographical time and location. We refer to the data for such service as spatio-temporal data (STD). When STD is used in a query response system similar to conventional Internet services, users not only need to acquire data actively as required, they must also have functions for retrieving data available STD. Therefore, we propose an STD retention system that uses vehicles as information hubs (InfoHubs) for disseminating and retaining the data in a specific area. In our system, InfoHubs diffuse, maintain, and advertise STD over places and times where the STD are strongly dependent, thereby allowing users to receive such data passively within the specific area. Additionally, because STD are associated with a particular space, the system can reduce search costs. We also propose an adaptive transmission control method that each vehicle effectively operates its wireless resources autonomously and STD are retained and distributed efficiently. Finally, we evaluated our proposed method using simulations and clarified that our proposed system is capable of achieving a coverage rate of nearly 100% for STD while reducing the number of data transmissions compared to existing systems.

DOI： 10.1109/TMC.2021.3066438

Kyutacar

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85103149527&origin=inward

Location-Based Autonomous Transmission Control Method for Spatio-Temporal Data Retention System Reviewed International journal

Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, Myung Lee

Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2022. Lecture Notes in Networks and Systems. ( Springer ) 570 2022.10

Language：English Publishing type：Research paper (international conference proceedings)

Albania Tirana 2022.10.27 - 2022.10.29

With the development and spread of IoT technology, various devices have been connected to networks. Some data generated from IoT devices depends on geographical location and time (Spatio-Temporal Data). The realization of an architecture for "local production and consumption of STDs" can contribute to location-dependent applications, and therefore we have proposed the STD retention system with vehicles. In our previous study, the vehicle controlled the data transmission probability according to the density of the neighboring vehicles in order to reduce the data transmissions. However, since this method requires all vehicles to transmit beacons, it suffers from the excessive beacon collision when the vehicle density becomes high. In this paper, we propose a data transmission control method that realizes STD retention without transmitting beacons. Our simulation results using Luxembourg model demonstrates that the proposed method can achieve high coverage rate while decreasing the number of data transmissions compared with the existing transmission method based on transmission probability control in real environments.

DOI： 10.1007/978-3-031-20029-8_22

Kyutacar

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85141705855&origin=inward

Evaluation of MPTCP with BBR Performance on Wi-Fi/Cellular networks for Video Streaming Reviewed International journal

Masayoshi Kondo, Dirceu Cavendish, Daiki Nobayashi, Takeshi Ikenaga

Proc. of the Fourteenth International Conference on Evolving Internet (INTERNET 2022) ( IARIA ) 6 - 11 2022.05

Effective Data-Sharing Method for Multiple ICR Management in Autonomous Distributed Control Systems Reviewed International journal

Takaaki Kawano, Daiki Nobayashi, Takeshi Ikenaga

Proc. of the 5th International Conference on Innovative Computing and Communication (ICICC 2022) 2022.02

Data Completeness-aware Transmission Control for Large Spatio-Temporal Data Retention Reviewed International journal

Hotaka Kaneyasu, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, Myung Lee

Proc. of the 2022 IEEE International Conference on Consumer Electronics (ICCE 2022) 2022.01

Development of Wireless Communication System for Reliable Acoustic Data Collection Toward Anomaly Detection on Mechanical Equipment Reviewed International journal

Chinari Takano, Shinya Fujino, Daiki Nobayashi, Kazuya Tsukamoto, Mitsunori Mizumachi, Takeshi Ikenaga

Proc. of the 2021 International Conference on Computational Science and Computational Intelligence (CSCI 2021) 2021.12

Path Schedulers Performance on Cellular/Wi-Fi Multipath Video Streaming Reviewed International journal

Masayoshi Kondo, Dirceu Cavendish, Daiki Nobayashi, Takeshi Ikenaga

Proc. of the Thirteenth International Conference on Evolving Internet (INTERNET 2021) ( IARIA ) 10 - 15 2021.07

Efficient Data Diffusion and Elimination Control Method for Spatio-Temporal Data Retention System Reviewed International journal

Shumpei Yamasaki, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, Myung J. Lee

IEICE Transactions on Communications ( The Institute of Electronics, Information and Communication Engineers ) E104-B ( 7 ) 2021.07

An Approach for Identifying Malicious Domain Names Generated by Dictionary-Based DGA Bots Reviewed International journal

Akihiro Satoh, Yutaka Nakamura, Yutaka Fukuda, Daiki Nobayashi, Takeshi Ikenaga

IEICE Transactions on Information and Systems ( The Institute of Electronics, Information and Communication Engineers ) E104-D ( 5 ) 2021.05

Transmission Control Method for Data Retention Taking into Account the Low Vehicle Density Environments Reviewed International journal

Ichiro Goto, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, Myung Lee

IEICE Transactions on Information and Systems ( The Institute of Electronics, Information and Communication Engineers ) E104-D ( 4 ) 2021.04

Geolocation-centric Information Platform for Resilient Spatio-temporal Content Management Invited Reviewed International journal

Kazuya Tsukamoto, Hitomi Tamura, Yuzo Taenaka, Daiki Nobayashi, Hiroshi Yamamoto, Takeshi Ikenaga, Myung Lee

IEICE Transactions on Communications ( The Institute of Electronics, Information and Communication Engineers ) E104-B ( 3 ) 199 - 209 2021.03

Language：English Publishing type：Research paper (scientific journal)

In IoT era, the growth of data variety is driven by cross-domain data fusion. In this paper, we advocate that “local production for local consumption (LPLC) paradigm" can be an innovative approach in cross-domain data fusion, and propose a new framework, geolocation-centric information platform (GCIP) that can produce and deliver diverse spatio-temporal content (STC). In the GCIP, (1) infrastructure-based geographic hierarchy edge network and (2) adhoc-based STC retention system are interplayed to provide both of geolocation-awareness and resiliency. Then, we discussed the concepts and the technical challenges of the GCIP. Finally, we implemented a proof-of-concepts of GCIP and demonstrated its efficacy through practical experiments on campus IPv6 network and simulation experiments.

DOI： 10.1587/transcom.2020NVI0003

Kyutacar

Development of Data Collection Platform for Running Cars by using 920MHz LoRa Communication in Urban Area Reviewed International journal

Yasufumi Niwa, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga

Proc. of the 2020 International Conference on Emerging Technologies for Communications (ICETC 2020) ( Institute of Electronics, Information and Communication Engineers ) 2020.12

Development of Vehicle Management System using Location Data Collected by 920MHz LoRa Reviewed International journal

Daiki Nobayashi, Yasufumi Niwa, Kazuya Tsukamoto, Takeshi Ikenaga

Proc. of the 2020 International Conference on Computational Science and Computational Intelligence (CSCI 2020) 2020.12

Adaptive Server and Path Switching for Content Delivery Networks Reviewed International journal

Hiroyuki Nishimuta, Daiki Nobayashi, Takeshi Ikenaga

IEICE Transactions on Information and Systems ( Institute of Electronics, Information and Communication Engineers ) E103.D ( 11 ) 2389 - 2393 2020.11

Authorship：Corresponding author Language：English Publishing type：Research paper (scientific journal)

The communications quality of content delivery networks (CDNs), which are geographically distributed networks that have been optimized for content delivery, deteriorates when interflow congestion conditions are severe. Herein, we propose an adaptive server and path switching scheme that is based on the estimated acquisition throughput of each path. We also provide simulation results that show our proposed method can provide higher throughput performance levels than existing methods.

DOI： 10.1587/transinf.2020EDL8045

Kyutacar

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Papers - IKENAGA Takeshi