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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 59  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IN, IA
(Joint)
2023-12-22
16:05
Hiroshima Satellite Campus Hiroshima Adaptive Transmission Control Method based on Completeness of Received Data for Large Spatio-Temporal Data Retention
Renju AKashi, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) IA2023-56
With the development and spread of IoT technology, the number of devices connected to the Internet is increasing. Among ... [more] IA2023-56
pp.67-72
RISING
(3rd)
2023-10-31
09:45
Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] Performance Evaluation of Complementary Data Diffusion Method for Large Spatio-Temporal Data Retention
Renju Akashi, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT)
The fusion of computer science and networks, such as the Internet of Things and airtificial intelligence technologies, i... [more]
IA 2022-11-21
13:30
Niigata Bandai Civic Hall (Niigata)
(Primary: On-site, Secondary: Online)
Complementary Data Transmission Control Method for Large Spatio-Temporal Data Retention
Hotaka Kaneyasu, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) IA2022-38
Some IoT applications offer services that provide IoT data depending on locations and times, such as weather and traffic... [more] IA2022-38
pp.8-13
RISING
(3rd)
2022-10-31
15:00
Kyoto Kyoto Terrsa (Day 1), and Online (Day 2, 3) [Poster Presentation] Performance Evaluation of Completion Transmission Control with Collision Avoidance for Large Spatio-temporal Data Retention
Hotaka Kaneyasu, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT)
Spatio-temporal aware IoT applications need to deliver the spatio-temporal data (STD), which depends on geographic locat... [more]
IN, RCS, NV
(Joint)
2022-05-27
11:20
Kanagawa Keio University (Hiyoshi Campus)
(Primary: On-site, Secondary: Online)
[Invited Lecture] Empowering Federated Learning in Vehicular IoT
Celimuge Wu (UEC) IN2022-9 RCS2022-22
Federated learning is a promising paradigm for achieving distributed intelligence by protecting user privacy in vehicula... [more] IN2022-9 RCS2022-22
pp.43-48(IN), pp.45-50(RCS)
NS, IN
(Joint)
2022-03-11
11:20
Online Online Experimental Evaluation of Data Relay Scheme for Inter-Vehicle Information Sharing using Private LoRa
Naoki Eguchi, Daiki Nobayashi, Kazuya Tsukamoto (KIT), Yutaka Arakawa (QU), Takeshi Ikenaga (KIT) NS2021-152
Population concentration in urban areas and the increase in the use of automobiles are causes of traffic congestion jams... [more] NS2021-152
pp.176-180
RISING
(3rd)
2021-11-17
09:00
Tokyo
(Primary: On-site, Secondary: Online)
Analysis of Urban Traffic based on Data Collection System of Moving Vehicles
Yasufumi Niwa, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT)
As one application example of IoT (Internet of Things) technology, MaaS (Mobility as a Service) is expected to solve tra... [more]
CQ, MIKA
(Joint)
2021-09-10
11:20
Online Online A UAV-empowered Routing Protocol for Federated Learning in Delay Tolerant Environments
Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga (UEC) CQ2021-55
While vehicular federated learning (FL) systems can be used for various purposes, including traffic monitoring and people... [more] CQ2021-55
pp.88-93
HWS, VLD [detail] 2021-03-04
16:00
Online Online Survey on intrusion detection system for Vehicle Security Techniques
Ayaka Matsushita, Takao Okubo (IISEC) VLD2020-88 HWS2020-63
The purpose of this paper is to identify the factors that cause the characteristics of voltage waveforms of ECUs in auto... [more] VLD2020-88 HWS2020-63
pp.114-119
SITE, IA, IPSJ-IOT [detail] 2021-03-01
13:30
Online Online Experimental Evaluation of Data Collection using 920 MHz LoRa for Multiple Running Vehicles in Urban Area
Yasufumi Niwa, Kazuma Nakahara, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) SITE2020-42 IA2020-38
Vehicles have become important in the daily life of citizens.
Mobility as a Service (MaaS) is a promising concept to co... [more]
SITE2020-42 IA2020-38
pp.23-28
NS, RCS
(Joint)
2020-12-17
13:40
Online Online [Invited Lecture] Information Distribution Platform for Realizing Local Production and Consumption of Spatio-Temporal Data
Daiki Nobayashi, Ichiro Goto, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) NS2020-91 RCS2020-138
With the spread of Internet of Things (IoT) technology, the number of devices connected to the Internet is increasing, a... [more] NS2020-91 RCS2020-138
pp.23-28(NS), pp.25-30(RCS)
NS 2020-05-15
14:10
Online Online Transmission Control Method Based on Transmission Position and Received Signal Level for Spatio-Temporal Data Retention
Ichiro Goto, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga (KIT) NS2020-20
With the development and spread of IoT technology, the number of devices connected to the Internet is increasing year by... [more] NS2020-20
pp.77-82
NS, IN
(Joint)
2020-03-05
11:40
Okinawa Royal Hotel Okinawa Zanpa-Misaki
(Cancelled but technical report was issued)
Mobility-based Multi-hop Clustering Method in Heterogeneous Vehicular Networks
Norichika Suzuki, Masaki Bandai (Sophia Univ.) NS2019-196
Recently, heterogeneous vehicular networks attract attention. In heterogeneous vehicular networks, multiple vehicles for... [more] NS2019-196
pp.113-116
NS, IN
(Joint)
2020-03-06
10:10
Okinawa Royal Hotel Okinawa Zanpa-Misaki
(Cancelled but technical report was issued)
A Study on Attractor Selection-based Multipath Routing for Vehicular Network
Ryusuke Igarashi, Dan Okochi, Ryo Nakagawa, Yukio Ogawa, Kaoru Ota, Mianxiong Dong (Muroran-IT) IN2019-107
When a moving vehicle cannot have enough cellular bandwidth to connect to the internet, it can use an alternative route ... [more] IN2019-107
pp.171-176
ICM 2020-03-03
16:20
Okinawa Ohama Nobumoto Memorial Hall
(Cancelled but technical report was issued)
Performance Evaluation of Multi-Hop Communication on Inter-vehicular P2P Network
Takashi Toma, Takumi Miyoshi, Taku Yamazaki (SIT), Olivier Fourmaux (Sorbonne Univ.) ICM2019-65
Vehicular ad hoc network (VANET), one of the implementation methods of intelligent transport systems, is currently expec... [more] ICM2019-65
pp.135-140
RISING
(2nd)
2019-11-26
10:30
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] Prioritized Transmission of Mobile IoT Data Using Machine Learning Models
Yuichi Inagaki, Ryoichi Shinkuma, Takehiro Sato, Oki Eiji (Kyoto Univ.)
Predicting real-time spatial information from data collected by the mobile Internet of Things (IoT) devices is one solut... [more]
ICM 2019-07-12
10:50
Hokkaido   [Invited Talk] Empowering Vehicular Networks with Computational Intelligence
Celimuge Wu, Tsutomu Yoshinaga (UEC), Yusheng Ji (NII), Tutomu Murase (Nagoya Univ.) ICM2019-19
With the emergence of various vehicular Internet of Things (IoT) applications, such as driving behavior analysis, real t... [more] ICM2019-19
pp.77-82
ICM 2019-03-08
09:40
Okinawa   A Task Offloading Method Considering Mobility and Turning Behavior in Mobile-Edge Computing Architectures
Hiroya Matsumoto, Osamu mizuno, Bo Gu (Kogakuin Univ) ICM2018-58
Task offloading, that mobile nodes offload computational tasks to adjacent edge nodes (ENs) with excessive computing res... [more] ICM2018-58
pp.49-54
IN, NS
(Joint)
2019-03-05
14:30
Okinawa Okinawa Convention Center Cluster Head Handover for Heterogeneous Vehicular Networks
Toshihide Inake, Masaki Bandai (Sophia Univ) NS2018-281
Recently, heterogeneous vehicular networks attract attention.
Heterogeneous vehicular networks combine cellular network... [more]
NS2018-281
pp.507-510
CQ, ICM, NS, NV
(Joint)
2018-11-16
10:30
Ishikawa   A Task Offloading Method Considering Mobility in Mobile-Edge Computing Architectures
Hiroya Matsumoto, Osamu Mizuno, Bo Gu (Kogakuin Univ.) CQ2018-72
Task offloading, that mobile nodes offload computational tasks to adjacent edge nodes (ENs) with excessive computing res... [more] CQ2018-72
pp.49-54
 Results 1 - 20 of 59  /  [Next]  
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