Name
Abstract | ||
|---|---|---|
IoT sensors for measuring various sea water parameters, are explored here, aiming towards an educational context, in order to lead to a deeper understanding of the use of aquatic environments as natural resources, and towards the adoption of environmentally friendly behaviors. Sea-water sensing via IoT has not been extensively explored, due to practical difficulties in deployment, and the same applies to devising appropriate scenaria for understanding aquatic parameters in STEM education. A short hands-on IoT sensing trial, that has been conducted in various location of the Aegean sea, is reported in this paper. This research set out to gain insight into real data sets on which to base observations for devising realistic educational scenaria pertaining aquatic parameters. The results of this experiment are meant to guide research further, by shedding light into the IoT sensing issues that are involved in an educational scientific context. The goal is conducting broader research in the area of IoT water sensing towards its further utilization in STEM education. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.entcs.2019.04.014 | Electronic Notes in Theoretical Computer Science |
Keywords | Field | DocType |
IoT,water sensors,Science Technology Engineering and Mathematics education (STEM),crowd sensing | Data science,Software deployment,Environmentally friendly,Computer science,Internet of Things,Theoretical computer science,Natural resource | Journal |
Volume | ISSN | Citations |
343 | 1571-0661 | 1 |
PageRank | References | Authors |
0.38 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chrysanthi Tziortzioti | 1 | 1 | 0.38 |
| Dimitrios Amaxilatis | 2 | 55 | 18.69 |
| Irene Mavrommati | 3 | 118 | 17.69 |
| Ioannis Chatzigiannakis | 4 | 1238 | 121.01 |