Data Separation Technique using Spatial Correlation of Sensing Results for Physical Wireless Parameter Conversion Sensor Networks
Naoya Amano, Osamu Takyu, Keiichiro Shirai, Fumihito Sasamori, Shiro Handa · 2018
Wireless sensor networks (WSN) are attracting much attention for using various applications. As a result, the requirements of WSN are widely spread, such as low latency, affordability of a lot of sensors, and super long life. A physical wireless parameter conversion sensor networks (PhyC-SN) has ability for real time data collection and accepting the simultaneous access from a lot sensors. Since each sensor does not send any ID information to fusion center (FC), FC cannot specify the information source of each sensing result. The data separation technique based on data tracking is useful for separating data group from the common information source but it fails to track the data, where the failure of data separation is error tracking. This paper proposes the novel detection technique based on the special correlation among sensing results for detecting error tracking. We confirm the accuracy of the proposed detection technique by computer simulation and experimental evaluation.