| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IN, RCS, NV (Joint) |
2024-05-31 09:00 |
Fukuoka | Fukuoka University | [Tutorial Lecture]
Decision making via End-to-End Lossy Distributed Wireless Cooperative Networks
-- A Distributed Hypothesis Testing based Formulation -- Tad Matsumoto (IMT-Atlantique, JAIST) |
(To be available after the conference date) [more] | |
| NS, IN (Joint) |
2024-03-01 14:50 |
Okinawa | Okinawa Convention Center | Real space sharing processing multihop networks Akira Tanaka (NIT, Tokyo College), Mitsuru Maruyama (KAIT), Shigeo Urushidani (NII), Toshiaki Tsujii (OMU)  NS2023-224 |
ICT is already widely prevalent. Along with it, processors, memories and other computational resources exist everywhere ... [more] | NS2023-224 pp.306-311 |
| ICTSSL, CAS | 2024-01-25 09:30 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Base stations with optimal 5% cluster head ratio of LEACH protocol in wireless sensor networks Yoshihiro Kaneko, Keitaro Hirano (Gifu Univ.) CAS2023-82 ICTSSL2023-35 |
A wireless sensor network WSN is widely used in various applications. Usually, a sensor node SN is so tiny and limited i... [more] | CAS2023-82 ICTSSL2023-35 pp.1-4 |
| RISING (3rd) |
2023-10-31 14:00 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Implementation and Evaluation of Split Computing as a Distributed Machine Learning Inference Kojin Yorita, Shoki Ohta, Kota Maejima, Kanare Kodera, Yutaro Horikawa, Takayuki Nishio (Tokyo Tech), Kozo Fukui (AceCode) |
Split Computing (SC) is an advanced technology designed to facilitate sophisticated machine learning inference using dee... [more] | |
| CCS | 2023-03-26 16:05 |
Hokkaido | RUSUTSU RESORT | Simple Applications of WiBIC with Asynchronous Pulse Code Multiple Access Jiaying Lin, Ryuji Nagazawa, Kien Nguyen (Chiba Univ.), Hiroyuki Torikai (Hosei Univ.), Mikio Hasegawa (Tokyo Univ.), Won-Joo Hwang (Pusan National Univ.), Hiroo Sekiya (Chiba Univ.) CCS2022-78 |
In this study, we propose to combine Spiking Neural Network and IoT network to construct a distributed information proce... [more] | CCS2022-78 pp.85-90 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-17 11:10 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
Spatio-Temporal Load Balancing in Wireless Sensor Networks by Load Adaptive Method Switching Tomoya Sato, Ryo Yamamoto, Satoshi Ohzahata (UEC) CQ2022-103 |
Wireless Sensor Network (WSN) is generally constructed in an autonomous and distributed manner by battery-driven sensor ... [more] | CQ2022-103 pp.119-124 |
| IN, NS (Joint) |
2023-03-02 12:50 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Sustainable mobile multihop networks for sharing environmental space Akira Tanaka (NIT, Tokyo College), Mitsuru Maruyama (KAIT), Shigeo Urushidani (NII), Toshiaki Tsujii (OMU) NS2022-183 |
Heavy flooding, mud and rock slide, snowstorm and earthquake as well as the grate earthquake repeatedly cause massive un... [more] | NS2022-183 pp.95-100 |
| SR, UWT (Joint) |
2023-01-26 13:40 |
Tokyo | Takanawa Campus, Tokai Univ. (Primary: On-site, Secondary: Online) |
[Invited Talk]
Smart Radio and Beyond 5G Suguru Kameda (Hiroshima Univ.) SR2022-73 |
The IEICE Technical Committee on Smart Radio (TCSR) was established in 1999 as the Time-limited Technical Committee on S... [more] | SR2022-73 p.10 |
| NS, NWS (Joint) |
2023-01-26 10:55 |
Yamaguchi | Hybrid Meeting (Yamaguchi Prefecture) (Primary: On-site, Secondary: Online) |
Autonomous Decentralized Spectral Clustering for Hierarchical Routing in Dynamic Multi-hop Wireless Networks Naoki Matsuhashi (Tokyo Metropolitan Univ.), Chisa Takano (Hiroshima City Univ.), Masaki Aida (Tokyo Metropolitan Univ.) NS2022-151 |
Multi-hop wireless networks are decentralized in that they do not depend on the existing communication infrastructure an... [more] | NS2022-151 pp.7-12 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 09:10 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Federated Learning in Wireless Networks Takayuki Nishio (TokyoTech) RCC2022-31 NS2022-49 RCS2022-92 SR2022-34 SeMI2022-36 |
Federated Learning is a distributed machine learning method. The most important feature of federated learning is that it... [more] | RCC2022-31 NS2022-49 RCS2022-92 SR2022-34 SeMI2022-36 p.63(RCC), p.118(NS), p.125(RCS), p.71(SR), p.80(SeMI) |
| IN, RCS, NV (Joint) |
2022-05-26 15:45 |
Kanagawa | Keio University (Hiyoshi Campus) (Primary: On-site, Secondary: Online) |
[Tutorial Lecture]
Distributed Lossy Multi-terminal Communications over Fading MAC and Decision Making (This tutorial is funded by IoTAD-CEO project under CominLab) Tad Matsumoto (IMT-Atlantique, Brest, France/Professor Emeritus, JAIST), Elsa Dupraz (IMT-Atlantique, Brest, France) RCS2022-18 |
Network Information Theory is an extension of Shannon’s Information Theory to Networks. We believe that the key to the s... [more] | RCS2022-18 pp.26-27 |
| IT, EMM | 2022-05-18 14:20 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
[Invited Talk]
Decentralized Federated Learning: Fundamentals, Research Trends and Open Issues in Wireless Channels Koya Sato (UEC) IT2022-14 EMM2022-14 |
The expansion of machine learning applications has raised novel concerns, such as data privacy and communication costs. ... [more] | IT2022-14 EMM2022-14 p.73 |
| NS, IN (Joint) |
2022-03-11 09:50 |
Online | Online | A Novel Scheduling Method for Wireless Powered Communication Networks and its Performance Analysis Atsuhiro Iwaki, Kosuke Sanada, Hiroyuki Hatano, Kazuo Mori (Mie Univ.) NS2021-144 |
Recently, Wireless Powered Communication Networks (WPCNs), which integrate Wireless Information Transfer (WIT) and Wirel... [more] | NS2021-144 pp.129-134 |
| NS, IN (Joint) |
2022-03-11 11:00 |
Online | Online | Sustainable realtime information sharing mobile networks Akira Tanaka (NIT, Tokyo College), Mitsuru Maruyama (KAIT), Shigeo Urushidani (NII), Tsujii Toshiaki (OPU) NS2021-147 |
We have designed real-time information sharing communication platform on many multihop networks composed of familiar dev... [more] | NS2021-147 pp.146-151 |
| SR | 2022-01-24 16:20 |
Online | Online | Channel Selection of Environment-Adaptive Sensor Networks Using Channel Occupancy Rate Taiki Matsushima, Takeo Fujii (UEC) SR2021-65 |
In Wireless Sensor Networks (WSNs), it is possible to transmit packets efficiently by implementing an autonomous distrib... [more] | SR2021-65 pp.31-36 |
| SeMI | 2022-01-20 15:10 |
Nagano | (Primary: On-site, Secondary: Online) |
[Short Paper]
A Study of Joint Control of Machine Learning Model and Wireless LAN Parameters in Split inference by Reinforcement Learning Kojin Yorita (Tokyo Tech.), Sohei Itahara (Kyoto Univ.), Takayuki Nishio (Tokyo Tech.), Daiki Yoda, Toshihisa Nabetani (Toshiba) SeMI2021-66 |
Distributed inference (DI) enables machine learning (ML) inference with a deep neural network on resource-constrained de... [more] | SeMI2021-66 pp.51-54 |
| RISING (3rd) |
2021-11-17 11:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Improvement of Performance Anomaly Using Success Prioritized DCF Naoya Koyanagi, Daisuke Umehara (Kyoto Inst. of Tech.) |
In recent years, the number of electronic devices with wireless LAN such as PCs and smartphones has increased. With the ... [more] | |
| CQ, MIKA (Joint) |
2021-09-10 12:40 |
Online | Online | [Special Invited Talk]
Toward Communication Efficient Federated Learning Takayuki Nishio (TokyoTech) CQ2021-56 |
Federated Learning (FL) is a machine learning framework that trains models using distributed data. Since FL can utilize ... [more] | CQ2021-56 pp.94-96 |
| IN, NS (Joint) |
2021-03-05 15:50 |
Online | Online | A study of disaster prevention application on wide-area multihop network systems
-- For application of disaster prevention -- Akira Tanaka (NIT, Tokyo College), Mitsuru Maruyama (KAIT), Shigeo Urushidani (NII) NS2020-173 |
We design real-time information sharing communication platform consists of multihop-network linked small board computers... [more] | NS2020-173 pp.299-304 |
| NS, RCS (Joint) |
2020-12-17 12:15 |
Online | Online | Processing allocation algorithm for distributed deep learning in wireless sensor networks Karin Umeda, Takashi Nishitsuji, Takuya Asaka (Tokyo Metropolitan Univ.), Takumi Miyoshi (Shibaura Inst. of Tech.) NS2020-90 |
In wireless sensor networks, distributed processing technology for deep learning that utilizes edge computing and mobile... [more] | NS2020-90 pp.17-22 |
[Return to Top Page]