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PARAMETERS OF WIRELESS SENSOR 
NETWORK FOR TEMPERATURE 
www.geoinformatics.upol.cz 
MONITORING 
Vendula HEJLOVÁ 
Department of Geoinformatics, Palacký University in Olomouc 
vendula.hejlova@upol.cz
Introduction 
• Wireless Sensor Network 
• Parameters of wireless sensor network that 
have to be known at the beginning 
• The research area 
• Results 
• Conclusion 
www.geoinformatics.upol.cz
Wireless Sensor Network (WSN) 
• new fast evolving technology that can be used in 
environmental and socioeconomic domain 
• every wireless sensor network consists of: 
– nodes equipped with sensors 
– gateway (gathering point) 
– server (long time storage, visualization) 
• every node communicates with the defined node(s) 
to direct the measured values to a gateway (depends 
on the used topology) 
• electromagnetic waves are used for communication 
www.geoinformatics.upol.cz
www.geoinformatics.upol.cz
The Research Area 
www.geoinformatics.upol.cz
Parameters of Wireless Sensor Network That 
Have to be Known at the Beginning 
• Application of Wireless Sensor Network 
• Capabilities of Wireless Sensor Network 
Components 
• Terrain Factors 
• Weather Conditions of the Research Area 
www.geoinformatics.upol.cz
Capabilities of Wireless Sensor 
www.geoinformatics.upol.cz 
Network 
• the used nodes – four Waspmote Plug&Sense, 
produced by Libelium 
• used sensors – temperature, relative humidity 
• star topology 
• communication was carried out on the basis of 
802.15.4 
– this protocol works in the range of 3.4 GHz, channel 
0x0C (2.405 – 2.410 GHz) 
• gathering point of data was gateway, Meshlium, 
data were stored in local MySQL database 
• observation period was from 8th April to 14th April 
2014
Position of Nodes 
www.geoinformatics.upol.cz
Topology of Wireless Sensor Network 
www.geoinformatics.upol.cz
Terrain Factors 
• related to: 
– landcover, 
– obstacles in the communication path, 
– property conditions, 
– security issue, 
– measured elements 
www.geoinformatics.upol.cz
Terrain Factors 
• nodes were fixed at coniferous trees at a 
height of 2 metres above the ground 
• southwest orientation 
• 10 minute recording intervals 
www.geoinformatics.upol.cz
www.geoinformatics.upol.cz 
Results 
• include the confirmation of transmission 
protocol correctness 
• visualization of average daily temperatures, 
extreme temperatures and temperature 
amplitudes
www.geoinformatics.upol.cz 
Results 
Average Daily 
Temperatures 
• the highest average 
daily temperature at 
place B (4) 
• but the highest 
average daily 
temperature was 
computed for place 
A (13.79 °C) 
• the lowest 
15 
14 
13 
12 
11 
10 
9 
8 
7 
6 
5 
4 
3 
temperatures mostly 
2 
occured at place C 
1 
(4), 4.03 °C 0 
8.4.2014 9.4.2014 10.4.2014 11.4.2014 12.4.2014 13.4.2014 14.4.2014 
AVERAGE DAILY TEMPERATURE 
in the Botanic Garden from 8th to 14th April 
A 
B 
C 
D 
Day 
Temperature [°C]
25 
23 
21 
19 
17 
15 
13 
11 
9 
7 
5 
3 
1 
www.geoinformatics.upol.cz 
Results 
Extreme Temperatures 
8.4.2014 9.4.2014 10.4.2014 11.4.2014 12.4.2014 13.4.2014 14.4.2014 
-1 
EXTREME TEMPERATURES 
in the Botanic Garden in Olomouc 
MAX 
A 
MAX 
B 
MAX 
C 
MAX 
DAB 
CD 
MED 
A 
MED 
B 
MED 
C 
MED 
D 
Day 
Temperature[°C] 
• the highest number of the 
highest daily temperatures 
was recorded by node A (4) 
• daily maximum 
temperatures recorded by 
node C were in the most 
cases (5) the lowest 
• the lowest temperatures 
from minimum 
temperatures were 
recorded by node C (6) 
• the highest temperature 
values from minimum 
temperatures were 
obtained by node B (6)
www.geoinformatics.upol.cz 
Results 
Temperature Amplitudes 
8.4.2014 9.4.2014 10.4.2014 11.4.2014 12.4.2014 13.4.2014 14.4.2014 
20 
19 
18 
17 
16 
15 
14 
13 
12 
11 
10 
0 1 2 3 4 5 6 7 8 9 
TEMPERATURE AMPLITUDE 
in the Botanic Garden from 8th to 14th April 
A 
B 
C 
D 
Day 
Temperature [°C] 
• the highest 
temperature 
amplitudes were 
recorded by node 
A (4) 
• the lowest 
differences in 
temperature 
values were 
recorded by node 
D (4)
www.geoinformatics.upol.cz 
Conclusion 
• monitoring of temperature using wsn is realized in the real 
time and with high density 
• differences in measured temperature values are high even in 
the small area 
• the highest values of temperature amplitudes were recorded 
by node A (13.92 °C), the lowest temperature amplitude was 
recorded by node D (12.07 °C) 
• this was a pilot study for testing of trasmission protocol and 
investigating of differences between temperature values 
measured under the same conditions in a small area 
• measurements in larger area, with more nodes equipped with 
more variety of sensors will be carried out during autumn 
2014
• Thank you for your attention 
www.geoinformatics.upol.cz

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Hejlova - Parametres of WSN for temperature monitoring

  • 1. PARAMETERS OF WIRELESS SENSOR NETWORK FOR TEMPERATURE www.geoinformatics.upol.cz MONITORING Vendula HEJLOVÁ Department of Geoinformatics, Palacký University in Olomouc vendula.hejlova@upol.cz
  • 2. Introduction • Wireless Sensor Network • Parameters of wireless sensor network that have to be known at the beginning • The research area • Results • Conclusion www.geoinformatics.upol.cz
  • 3. Wireless Sensor Network (WSN) • new fast evolving technology that can be used in environmental and socioeconomic domain • every wireless sensor network consists of: – nodes equipped with sensors – gateway (gathering point) – server (long time storage, visualization) • every node communicates with the defined node(s) to direct the measured values to a gateway (depends on the used topology) • electromagnetic waves are used for communication www.geoinformatics.upol.cz
  • 5. The Research Area www.geoinformatics.upol.cz
  • 6. Parameters of Wireless Sensor Network That Have to be Known at the Beginning • Application of Wireless Sensor Network • Capabilities of Wireless Sensor Network Components • Terrain Factors • Weather Conditions of the Research Area www.geoinformatics.upol.cz
  • 7. Capabilities of Wireless Sensor www.geoinformatics.upol.cz Network • the used nodes – four Waspmote Plug&Sense, produced by Libelium • used sensors – temperature, relative humidity • star topology • communication was carried out on the basis of 802.15.4 – this protocol works in the range of 3.4 GHz, channel 0x0C (2.405 – 2.410 GHz) • gathering point of data was gateway, Meshlium, data were stored in local MySQL database • observation period was from 8th April to 14th April 2014
  • 8. Position of Nodes www.geoinformatics.upol.cz
  • 9. Topology of Wireless Sensor Network www.geoinformatics.upol.cz
  • 10. Terrain Factors • related to: – landcover, – obstacles in the communication path, – property conditions, – security issue, – measured elements www.geoinformatics.upol.cz
  • 11. Terrain Factors • nodes were fixed at coniferous trees at a height of 2 metres above the ground • southwest orientation • 10 minute recording intervals www.geoinformatics.upol.cz
  • 12. www.geoinformatics.upol.cz Results • include the confirmation of transmission protocol correctness • visualization of average daily temperatures, extreme temperatures and temperature amplitudes
  • 13. www.geoinformatics.upol.cz Results Average Daily Temperatures • the highest average daily temperature at place B (4) • but the highest average daily temperature was computed for place A (13.79 °C) • the lowest 15 14 13 12 11 10 9 8 7 6 5 4 3 temperatures mostly 2 occured at place C 1 (4), 4.03 °C 0 8.4.2014 9.4.2014 10.4.2014 11.4.2014 12.4.2014 13.4.2014 14.4.2014 AVERAGE DAILY TEMPERATURE in the Botanic Garden from 8th to 14th April A B C D Day Temperature [°C]
  • 14. 25 23 21 19 17 15 13 11 9 7 5 3 1 www.geoinformatics.upol.cz Results Extreme Temperatures 8.4.2014 9.4.2014 10.4.2014 11.4.2014 12.4.2014 13.4.2014 14.4.2014 -1 EXTREME TEMPERATURES in the Botanic Garden in Olomouc MAX A MAX B MAX C MAX DAB CD MED A MED B MED C MED D Day Temperature[°C] • the highest number of the highest daily temperatures was recorded by node A (4) • daily maximum temperatures recorded by node C were in the most cases (5) the lowest • the lowest temperatures from minimum temperatures were recorded by node C (6) • the highest temperature values from minimum temperatures were obtained by node B (6)
  • 15. www.geoinformatics.upol.cz Results Temperature Amplitudes 8.4.2014 9.4.2014 10.4.2014 11.4.2014 12.4.2014 13.4.2014 14.4.2014 20 19 18 17 16 15 14 13 12 11 10 0 1 2 3 4 5 6 7 8 9 TEMPERATURE AMPLITUDE in the Botanic Garden from 8th to 14th April A B C D Day Temperature [°C] • the highest temperature amplitudes were recorded by node A (4) • the lowest differences in temperature values were recorded by node D (4)
  • 16. www.geoinformatics.upol.cz Conclusion • monitoring of temperature using wsn is realized in the real time and with high density • differences in measured temperature values are high even in the small area • the highest values of temperature amplitudes were recorded by node A (13.92 °C), the lowest temperature amplitude was recorded by node D (12.07 °C) • this was a pilot study for testing of trasmission protocol and investigating of differences between temperature values measured under the same conditions in a small area • measurements in larger area, with more nodes equipped with more variety of sensors will be carried out during autumn 2014
  • 17. • Thank you for your attention www.geoinformatics.upol.cz