Data Set Information:

数据集包括来自四（4）个树莓Pi的2 x（4）组移动传感器读数数据（湿度、温度），对应于四（4）个无人地面车辆（USV）群。每个USV集合包含以下格式的记录：{'Device'；'湿度值'；'temperature value'；'experiment id'；'sensing-time'，'Pi'}。USV群按照GPS预定义的轨迹移动。USV正漂浮在雅典（希腊）沿海地区的海面上. More information: [Web link]

Attribute Information:

Attributes:
'device' = USV ID (String)
'humidity' = sensed humidity value from the USV sensor (real value)
'temperature' = sensed temperature value from the USV sensor (real value)
'experiment' = 1 (constant real value)
'time' = the sensing and reporting time (real value)
'pi' = Raspberry Pi ID

Relevant Papers:

Please cite one of the following papers:
[1] Harth, N. and Anagnostopoulos, C. (2018) Edge-centric Efficient Regression Analytics. In: 2018 IEEE International Conference on Edge Computing (EDGE), San Francisco, CA, USA, 02-07 Jul 2018
[2] Harth, N., Anagnostopoulos, C., (2017) Quality-aware Aggregation & Predictive Analytics at the Edge. IEEE International Conference on Big Data (IEEE Big Data 2017), December 11-14, 2017, Boston, MA, USA

Citation Request:

Please cite one of the following papers:
[1] Harth, N. Anagnostopoulos, C. (2018) Edge-centric Efficient Regression Analytics. In: 2018 IEEE International Conference on Edge Computing (EDGE), San Francisco, CA, USA, 02-07 Jul 2018
[2] Harth, N., Anagnostopoulos, C., (2017) Quality-aware Aggregation & Predictive Analytics at the Edge. IEEE International Conference on Big Data (IEEE Big Data 2017), December 11-14, 2017, Boston, MA, USA.

Dr Christos Anagnostopoulos; School of Computing Science, University of Glasgow; email: christos.anagnostopoulos '@' glasgow.ac.uk; G12 8QQ Scotland, UK. (NETLAB Group: https://netlab.dcs.gla.ac.uk/)