Akimitsu Kanzaki
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Akimitsu Kanzaki has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Takahiro Hara
The University of Osaka
7 shared publications - Shojiro Nishio
Osaka University
5 shared publications - Kriengsak Treeprapin
Dept. of Multimedia Eng., Grad. Sch. of Information Science and Technology, Osaka Univ. 1-5 Yamadaoka, Suita, Osaka 565-0871, Japan
3 shared publications - Kazuya Matsuo
Dept. of Multimedia, Engineering Graduate School of Information Science and Technology, Osaka Univ
1 shared publication - Keisuke Goto
Osaka University
1 shared publication - Naoki Wakamiya
The University of Osaka
1 shared publication
Latest Publications
- 28 August 2018
- Published by Springer Nature
- p. 833-840
A System to Select Reception Channel by Machine Learning in Hybrid Broadcasting Environments
- 28 August 2018
- Published by Springer Nature
- p. 833-840
A System to Select Reception Channel by Machine Learning in Hybrid Broadcasting Environments
- 1 January 2015
- Published by Springer Nature
- p. 113-143
Data Aggregation and Forwarding Route Control for Efficient Data Gathering in Dense Mobile Wireless Sensor Networks
- 1 January 2015
- Published by Springer Nature
- p. 113-143
Data Aggregation and Forwarding Route Control for Efficient Data Gathering in Dense Mobile Wireless Sensor Networks
- 1 January 2012
- Published by Information Processing Society of Japan in Journal of Information Processing
- Vol. 20 (1) , 104-113
Effective Node Deployment in Sparse Mobile Sensor Networks
- 1 January 2012
- Published by Information Processing Society of Japan in Journal of Information Processing
- Vol. 20 (1) , 104-113
Effective Node Deployment in Sparse Mobile Sensor Networks
- 1 January 2011
- Published by Information Processing Society of Japan in Journal of Information Processing
- Vol. 19, 103-117
A Node Deployment Strategy for Efficient Sensing with Mobile Sensors in Sparse Sensor Networks
- 1 January 2011
- Published by Information Processing Society of Japan in Journal of Information Processing
- Vol. 19, 103-117
A Node Deployment Strategy for Efficient Sensing with Mobile Sensors in Sparse Sensor Networks
- 1 July 2010
- Published by Springer Nature in Journal of Ambient Intelligence and Humanized Computing
- Vol. 1 (4) , 259-270
A route construction based on measured characteristics of radio propagation in wireless sensor networks
- 1 July 2010
- Published by Springer Nature in Journal of Ambient Intelligence and Humanized Computing
- Vol. 1 (4) , 259-270
A route construction based on measured characteristics of radio propagation in wireless sensor networks
- 1 January 2010
- Published by Springer Nature
- p. 249-271
X-Sensor: Wireless Sensor Network Testbed Integrating Multiple Networks
- 1 January 2010
- Published by Springer Nature
- p. 249-271
X-Sensor: Wireless Sensor Network Testbed Integrating Multiple Networks
- 1 January 2010
- Published by Springer Nature
- p. 47-75
Energy-Efficient Task Scheduling and Data Aggregation Techniques in Wireless Sensor Networks for Information Explosion Era
- 1 January 2010
- Published by Springer Nature
- p. 47-75
Energy-Efficient Task Scheduling and Data Aggregation Techniques in Wireless Sensor Networks for Information Explosion Era
- Open Access
An Effective Mobile Sensor Control Method for Sparse Sensor Networks
In this paper, we propose an effective mobile sensor control method, named DATFM (Data Acquisition and Transmission with Fixed and Mobile node) for sparse sensor networks. DATFM uses two types of sensor nodes, fixed node and mobile node. The data acquired by nodes are accumulated on a fixed node before being transferred to the sink node. In addition, DATFM transfers the accumulated data efficiently by constructing a communication route of multiple mobile nodes between fixed nodes. We also conduct simulation experiments to evaluate the performance of DATFM.
Open AccessAn Effective Mobile Sensor Control Method for Sparse Sensor Networks
In this paper, we propose an effective mobile sensor control method, named DATFM (Data Acquisition and Transmission with Fixed and Mobile node) for sparse sensor networks. DATFM uses two types of sensor nodes, fixed node and mobile node. The data acquired by nodes are accumulated on a fixed node before being transferred to the sink node. In addition, DATFM transfers the accumulated data efficiently by constructing a communication route of multiple mobile nodes between fixed nodes. We also conduct simulation experiments to evaluate the performance of DATFM.