Autonomous IoT(M2M) Platform based on Network and User Situations
| Project/Area Number |
25730061
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (B)
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Information network
|
|---|
| Research Institution | The University of Aizu |
|---|
Principal Investigator |
Wang Junbo 会津大学, グローバル推進本部, 准教授 (40646882)
|
|---|
| Project Period (FY) |
2013-04-01 – 2016-03-31
|
| Project Status |
Completed (Fiscal Year 2015)
|
| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2015: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2014: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
|---|
| Keywords | Internet of Things / Computer Network / Emergency Communications / Elderly Care / Situation Recognition / Situation Understanding / Emergency Communication / Disaster Management / Big Data Analytics / Disaster / Abnormal detection / Situation recognition / Network modeling / Network optimization / Deployment / Mesh Network / M2M / Network Optimization |
|---|
| Outline of Final Research Achievements |
Current researches on Internet of Things (M2M) will meet response delay problem when transmitting huge data from sensors and terminals in the world, without considering user and network situations, and how to optimize task allocation among IoT devices.
In this project, we focus on the above research issues and propose (1) algorithms to recognize and manage situations at both user and network sites, (2) optimization methods to efficiently allocate tasks among IoT devices nearby the user, (3) optimization methods for emergency communications network after disaster occurring based on user and network situations. The developed techniques are expected to enhance services for elderly care and emergency response in the future.
|
Report
(4 results)
Research Products
(16 results)
