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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 63  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MSS, CAS, SIP, VLD 2023-07-07
10:50
Hokkaido
(Primary: On-site, Secondary: Online)
Population-Game-Based Distributed Allocation Method of Dynamic Coverage and Target Tracking Tasks for Mobile Sensor Networks
Takafumi Kanazawa (Setsunan Univ.) CAS2023-19 VLD2023-19 SIP2023-35 MSS2023-19
This paper focuses on mobile sensor networks with a large number of heterogeneous mobile sensor nodes. Dynamic area cove... [more] CAS2023-19 VLD2023-19 SIP2023-35 MSS2023-19
pp.93-96
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
IN, NS
(Joint)
2023-03-02
16:20
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
Design and evaluation of a mobile agent framework for small-scale IoT devices over LPWA
Kazuya Sakamoto (Tohoku Univ.), Gen Kitagata (Morioka Univ.), Go Hasegawa (Tohoku Univ.) IN2022-96
In networks using LPWA and small IoT devices, it is important to suppress traffic because of the slow communication spee... [more] IN2022-96
pp.181-186
HWS, ICD 2022-10-25
13:50
Shiga
(Primary: On-site, Secondary: Online)
Fundamental Study of Adversarial Examples Created by Fault Injection Attack on Image Sensor Interface
Tatsuya Oyama, Kota Yoshida, Shunsuke Okura, Takeshi Fujino (Ritsumeikan Univ.) HWS2022-36 ICD2022-28
Adversarial examples (AEs), which cause misclassification by adding subtle perturbations to input images, have been prop... [more] HWS2022-36 ICD2022-28
pp.35-40
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
RCC, MICT 2019-05-29
14:25
Tokyo TOKYO BIG SIGHT [Invited Talk] Toward Distributed Complex Event Processing on Mobile Biosensing Platform
Akio Sashima (AIST) RCC2019-4 MICT2019-4
In recent years, healthcare services using smartphones and wristwatch-type smart devices have attracted attention. As th... [more] RCC2019-4 MICT2019-4
p.17
ASN, NS, RCS, SR, RCC
(Joint)
2018-07-11
13:35
Hokkaido Hakodate Arena Throughput Prediction Method based on machine learning in Mobile Networks
Bo Wei, kenji Kanai, Wataru Kawakami, Jiro Katto (Waseda Univ.) NS2018-42
Throughput prediction is essential for providing high quality of service for video streaming transmissions. In this pape... [more] NS2018-42
pp.31-36
ASN, NS, RCS, SR, RCC
(Joint)
2018-07-13
10:20
Hokkaido Hakodate Arena Cooperative Location Aquisition of Mobile Nodes by Measurement of Moving Distance and Change of Observation Directions
Masaaki Namekata, Hiroaki Higaki (Tokyo Denki Univ.) NS2018-72
In wireless networks composed of numbers of mobile wireless nodes, their location information is required to be achieved... [more] NS2018-72
pp.167-172
NS 2018-05-17
16:40
Kanagawa Yokohama City Education Center [Invited Talk] A Proposal of Visual IoT for Real-Time Monitoring
Takeshi Murata (NICT), Takamichi Mizuhara (CLT), Praphan Pavarangkoon, Kazunori Yamamoto (NICT), Kazuya Muranaga (SEC), Toshiki Aoki (CLT) NS2018-22
Visual Internet of Things (IoT) is a class of IoT that collects rich visual data. In general, the visual IoT device is e... [more] NS2018-22
pp.43-46
CQ
(2nd)
2017-08-27
13:50
Saitama Nippon Institute of Technology [Poster Presentation] A data collection scheme in wireless sensor network with a mobile sink
Ion Hokura, Masahiro Hayashi, Hisao Yamamoto (TCU)
This paper focuses on wireless sensor networks under the situation that a mobile sink traverses a fixed route in sensing... [more]
CQ 2017-07-28
11:45
Hyogo Kobe University An Energy Efficient Date Collection Scheme in Wireless Sensor Network with a Mobile Sink
Ion Hokura, Masahiro Hayashi, Hisao Yamamoto (TCU) CQ2017-42
This paper focuses on wireless sensor networks under the situation that a mobile sink traverses a fixed route in sensing... [more] CQ2017-42
pp.75-79
CQ 2017-05-29
10:35
Miyazaki Hotel Merieges (Miyazaki) Network Resource Control for Guaranteeing IoT Application Deadline in Mobile Networks
Nobuhiko Itoh, Takanori Iwai (NEC), Ryogo Kubo (Keio Univ.) CQ2017-16
Recently, Mobile networks are attracting a great dead of attention as a platform for real-time IoT applications. Individ... [more] CQ2017-16
pp.13-18
MoNA, ASN, IPSJ-MBL, IPSJ-UBI [detail] 2017-03-09
13:50
Tokyo University of Tokyo (Hongo Campus) Selection algorithm of anchor point group for localization using mobile anchor node in wireless sensor networks
Yusuke Iwakura, Yuichi Miyaji, Hideyuki Uehara (Toyohashi Tech.) ASN2016-91
This report describes a localization method using a mobile anchor node in wireless sensor networks. This method localize... [more] ASN2016-91
pp.101-106
NS, IN
(Joint)
2017-03-03
15:50
Okinawa OKINAWA ZANPAMISAKI ROYAL HOTEL A study of Simplified Label Switching for IoT Local Multihop Networks
Akira Tanaka (NIT, Tokyo College), Mitsuru Maruyama (KAIT), Shigeo Urushidani (NII) NS2016-236
Information and Communication Lab. (Tanaka Lab.) in NIT, Tokyo College has developed small sized prototypes of mobile mu... [more] NS2016-236
pp.451-456
ASN, MoNA, MICT
(Joint)
2017-01-19
10:30
Oita   Route Control for Mobile Sink in On-Demand Wireless Sensor Networks exploiting Wake-up Receiver
Masato Miyatake, Hiroyuki Yomo (Kansai Univ.) ASN2016-69
In order to realize energy-efficiency of wireless sensor networks (WSN), we have designed on-demand WSN where a wake-up ... [more] ASN2016-69
pp.1-6
ASN 2016-11-18
15:50
Aichi Nagoya University Design and Implementation of a Cooperative Large Sensing Data Transmission Scheme in Mobile Sensing Networks with Limited Chances to Connect Access Points
Yudai Tanaka, Susumu Ishihara (Shizuoka Univ.) ASN2016-67
Huge monetary cost and labor cost are required for detecting the abnormal part of the inside of sewer pipe. To realizin... [more] ASN2016-67
pp.193-198
NS, IN
(Joint)
2016-03-03
11:00
Miyazaki Phoenix Seagaia Resort Mobility Control Method to Improve Reachability and Area Coverage Performance of Obtained Data in Underwater Sensor Networks
Wataru Kishigami, Yosuke Tanigawa, Hideki Tode (Osaka Pref Univ.) NS2015-197
These days, underwater exploration demand is increasing in the field of industry, science, military, and so on.
Hence,... [more]
NS2015-197
pp.167-172
MICT, ASN, MoNA
(Joint)
2016-01-29
15:20
Kanagawa Hotel Okada Design of a rate adaptation scheme by predicting channel state for wireless video inspection of sewer pipes using drifting monitoring nodes
Yudai Tanaka, Taiki Nagashima, Susumu Ishihara (Shizuoka Univ.) ASN2015-95
In Japan, there are large amount of aged sewer pipes which tend to cause cave-in accidents.
To prevent such accidents, ... [more]
ASN2015-95
pp.93-98
CQ 2016-01-22
16:25
Ibaraki University of Tsukuba Distributed Cooperative Control for Speedy and Effective Coverage in Mobile Sensor Networks
Kazuma Watanabe (Osaka Univ.), Masahiro Sasabe (NAIST), Tetsuya Takine (Osaka Univ.) CQ2015-106
In recent years, mobile sensor networks have been expected to be utilized in disaster prevention, crime prevention, envi... [more] CQ2015-106
pp.79-84
WBS, MICT 2015-07-21
14:40
Nara Nara Institute of Science and Technology [Invited Talk] Radio-On-Demand Networks: Field Trial and Applications to Mobile Sensing
Hiroyuki Yomo (Kansai Univ.), Tetsuya Ito (NEC Communication Systems), Akio Hasegawa (ATR), Takeshi Ikenaga (Kyushu Institute of Technology) WBS2015-20 MICT2015-24
Realizing energy-efficiency is a key to expanding the application area of wireless networks. In order to reduce energy c... [more] WBS2015-20 MICT2015-24
pp.41-46
 Results 1 - 20 of 63  /  [Next]  
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