Faculty Profiles - IKENAGA Takeshi

Papers - IKENAGA Takeshi

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Experimental Evaluation of Transmission Control Method based on Received Signal Strength for Spatio-Temporal Data Retention Reviewed International journal

Renju Akashi, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, Myung Lee

Proc. of the 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC) ( IEEE ) 2023.06

BBR Performance over Variable Delay Paths on Multipath TCP Video Streaming Reviewed International journal

Masayoshi Kondo, Dirceu Cavendish, Daiki Nobayashi, Takeshi Ikenaga

Proc. of the Fifteenth International Conference on Evolving Internet (INTERNET 2023) ( IARIA ) 18 - 23 2023.03

Complementary Data Transmission Control with Collision Avoidance for Efficient Retention of Large-size Spatio-Temporal Data Reviewed International journal

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

Proc. of 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC 2023) ( IEEE ) 2023-January 710 - 711 2023.01

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

USA Las Vegas, NV 2023.01.08 - 2023.01.11

Spatio-temporal aware IoT applications need to deliver the Spatio-Temporal Data (STD), which depends on geographic location and time, to the users in real-time. We have proposed the STD retention system using crowds of vehicles to promote the immediate distribution and utilization of STDs in geographical proximity to the user. However, when the system retains a Large-size STD (LSTD) consisting of multiple packets such as videos and photos, the packet loss due to channel collisions should be suppressed for effective retention of an LSTD. In this paper, we propose a complementary data transmission control method with collision avoidance for LSTD retention and clarify the effectiveness of our proposed method by simulation.

DOI： 10.1109/CCNC51644.2023.10060769

Kyutacar

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85150663283&origin=inward

Performance Evaluation on the Impact of Bottleneck Link Buffer Size under Different Congestion Control Algorithm Competition in QUIC Reviewed International journal

Nobuhiro Uchida, Daiki Nobayashi, Takeshi Ikenaga, Dirceu Cavendish

Proc. of 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC 2023) ( IEEE ) 2023-January 714 - 715 2023.01

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

USA Las Vegas, NV 2023.01.08 - 2023.01.11

QUIC is a secure, general-purpose transport protocol using congestion and retransmission controls on User Datagram Protocol (UDP). QUIC can use the same congestion control algorithms as Transmission Control Protocol (TCP). Thus, when communication between multiple terminals using QUIC competes, the performance of each terminal depends on the congestion control algorithm adopted by the terminal. In related works, the communication performance was evaluated by simulation when both CUBIC and BBR flows competed in TCP, and the results showed that each communication performance became unfair with the buffer size of the shared bottleneck link. In this study, we verify the communication performance at different bottleneck link buffer sizes when BBR and CUBIC compete through actual experiments.

DOI： 10.1109/CCNC51644.2023.10060682

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85150629349&origin=inward

A Reliability Audit Mechanism based on Multi-layered Blockchain for Spatio-Temporal Data Retention System Reviewed International journal

Junki Ueda, Kazuya Tsukamoto, Hiroshi Yamamoto, Daiki Nobayashi, Takeshi Ikenaga, Myung Lee

Proc. of 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC 2023) ( IEEE ) 2023-January 939 - 940 2023.01

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

USA Las Vegas, NV 2023.01.08 - 2023.01.11

IoT data includes Spatio-temporal data (STD) that is needed only at a specific time and place. In our previous research, we have proposed the STD data retention system (STD-RS), aiming to construct a novel architecture for STD distributing in a retention area by vehicles. However, since vehicles may distribute the STD in unexpected locations due to GPS errors or malicious behavior in a real environment. Therefore, we propose a reliability audit mechanism based on multi-layered blockchain managing and analyzing the history of STD distribution and vehicles' behavior in each retention area. Through simulation experiment, we demonstrated that our mechanism detects the malfunction of STD-RS effectively.

DOI： 10.1109/CCNC51644.2023.10059819

Kyutacar

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85150622344&origin=inward

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

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Papers - IKENAGA Takeshi