Self-healing sensor data for wireless sensor networks

2016 Fiscal Year Final Research Report

• Project/Area Number: 26330098
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Software
• Research Institution: National Institute of Informatics
• Principal Investigator: Tei Kenji 国立情報学研究所, アーキテクチャ科学研究系, 准教授 (40434295)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: 自己修復 / センサーネットワーク

Outline of Final Research Achievements

We proposed a self-healing technique to automatically correct data faults in sensor readings obtained from wireless sensor network. Sensor data naturally includes data faults and the faults should be corrected as much as possible in order to prevent depraving estimation accuracy caused by the faults. Recent studies showed that there are some well-known types of faults, and that faults will increase during operating of systems. In this research, we proposed scalable self-healing techniques that automatically identify, classify, and correct sensor faults to eliminate faults without human intervention.

Free Research Field

自己適応システム