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INTEGRATING TELEMETRY SENSORS
WITH CLOUD COMPUTING
• George Suciu, Victor Suciu, Valentina Cirstea, Alexandra Focsa and
Simona Halunga
Faculty of Electronics, Telecommunications and IT
University POLITEHNICA of Bucharest
• Omar Abdulwahabe Mohamad, Stefan Ciprian Arseni and Cristina Butca
Faculty of Automatic Control and Computers
BEIA Consult International
University POLITEHNICA of Bucharest
Bucharest, Romania R&D Department, Beia Consult International
2015 14th RoEduNet International Conference - Networking in Education
and Research (NER'2015)
@GeorgeSuciuG #beyond2050
Content
Short Biography
Introduction
Telemetry sensors related work
Indoor environmental monitoring using
wireless sensor networks
Application scenarios and results
Conclusions and Discussions
G. Suciu, et.al. (2015)
@GeorgeSuciuG #beyond2050
Short Biography (1)
Graduated from the Faculty of Electronics,
Telecommunications and Information Technology at
the University “Politehnica” of Bucharest (UPB),
Romania (www.upb.ro)
MBA in Informatics Project Management from the
Faculty of Cybernetics, Statistics and Economic
Informatics of the Academy of Economic Studies
Bucharest (www.ase.ro)
Currently, Ph.D. Eng. Post-doc Researcher focused
on the field of big data, cloud communications, open
source, IPR and IoT/M2M
Since 2008 IT&C Solutions Manager - R&D
Department, being employed starting 1998 at BEIA
Consult International, a research performing SME
(www.beiaro.eu)
G. Suciu, et.al. (2015)G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
Short Biography (2)
Projects – www.beiaro.eu / www.mobcomm.pub.ro
FP7 (2 on-going)
REDICT : Regional Economic Development by ICT
eWALL : Electronic Wall for Active Long Living
NMSDMON : Network Management System Development and Monitoring
FAIR : Friendly Application for Interactive Receiver
Cloud Consulting : Cloud-based Automation of ERP and CRM software for Small Businesses
ACCELERATE: A Platform for the Acceleration of go-to market in the ICT industry
H2020 (1 on-going)
SWITCH: Software Workbench for Interactive, Time Critical and Highly self-adaptive Cloud applications (ICT-9)
Power2SME
Speech2Platform
National (more than 10 past projects, 5 on-going)
MobiWay: Mobility Beyond Individualism: an IntegratedPlatform for Intelligent Transportation Systems of Tomorrow
EV-BAT: Redox battery with fast charging capacity as a main source of energy for electric autovehicles
CarbaDetect: Imuno-biosensors for fast detection of carbamic pesticide residues (carbaryl, carbendazim) in horticultural products
SARAT-IWSN : Scalable Radio Transceiver for Instrumental Wireless Sensor Networks
COMM-CENTER : Developing of a “cloud communication center" by integrating a call/contact center platform with unified communication
technology, CRM system, “text-to-speech” and “automatic speech recognition” solutions in different languages (including Romanian)
G. Suciu, et.al. (2015)G. Suciu, et.al. (2015)
@GeorgeSuciuG #beyond2050
Introduction
Wireless Sensor Networks (WSN) have found their way into a wide variety of applications
and systems with vastly varying requirements and characteristics.
Furthermore, telemetry systems provide permanent collection and assessment of
reliable measurement data. Monitoring the environment and managing measurement
networks professionally is often complex and demands time and resource investment.
Implementing Cloud Computing in sensor networks will allow the company to increase
capacity without the need for new infrastructure investment.
Telemetry networks are designed to collect data in the real world. The problem is what
to do with the data when the consumer no longer requires it.
We describe the integration of framework is proposed between a sensor network using
Adcon telemetry equipment and Cloud Computing.
G. Suciu, et.al. (2015)G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
TELEMETRY SENSORS related work (1)
Sensors are complex devices that are used to detect and respond to electrical or optical
signals. A sensor converts a physical parameter into a signal that can be measured
electrically.
Telemetry requires the use of highly accurate sensors with excellent long-term stability
and the possibility to remotely gather data using different types of sensors.
Specific Internet Protocol (SIP) isolates IPv4 on hosts from wide area network (WAN)
infrastructures while delivering IPv4 traffic through WANs between hosts.Multi-Tier
Internet Protocol (MTIP)provides a tree-like topology and is used for delivering SIP
traffic.
G. Suciu, et.al. (2015)G. Suciu, et.al. (2015)
@GeorgeSuciuG #beyond2050
TELEMETRY SENSOR related work (2)
For hydrometry, precipitation sensors that can measure the quantity and intensity of the
precipitations were used: RG1 Rain Gauge, with an orifice of 200 or 400, OTT weighing rain gauge in
200 or 400, Rain Gauge WMO 0.1 & 0.2 mm and the Irrigation Meter with a resolution of 1 mm and a
5m cable.
For soil moisture and temperature, the following sensors are recommended for field use: Adcon T8
Tensiometer, Adcon SM1 Soil Moisture Sensor, Hydra Probe II SDI, A512 Watermark Interface and
Watermark Sensor with a 5m cable.
For environmental telemetry experiments are reported using an air quality station, CO2 sensors,
Compass sensors (A515 V2), leaf wetness sensors (WET) and a few sensors for pipeline pressure
(Adcon PA-1 Manometer 0-10 bar, Adcon PA-1 Manometer 0-30 and PA36 Manometer sensor).
G. Suciu, et.al. (2015)G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
Indoor air quality (IAQ) is a term describing the air quality of a building, room. It refers
to the health and comfort of building occupants and also the nature of the conditioned
air that circulates throughout space/area.
IAQ can be affected by microbial contaminants (mold, fungus) which largely depend on
temperature and humidity condition of a room, gaseous pollutants (including carbon
monoxide, carbon dioxide, volatile organic compounds etc) and dust particles or
aerosols.
These pollutants can induce adverse health effects to building occupants. To avoid such
adverse effects, an air quality monitoring system is utmost required.
The proposed method is to measure the environmental parameters like temperature
and humidity to determine the environmental health of an indoor space.
INDOOR ENVIRONMENTAL MONITORING USING WIRELESS
SENSOR NETWORKS
G. Suciu, et.al. (2015)G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
In this section we propose a cloud wireless telemetry system that consists mainly of
one or more sensors, for temperature, pressure, sound, light, etc. and a remote
terminal unit (RTU) for collecting and transmitting the data to a cloud platform.
A gateway is used as a base of the telemetry network and it is programmed to exactly
know when and how to retrieve data from each RTU (Fig. 1).
CLOUD WIRELESS TELEMETRY SYSTEM (1)
G. Suciu, et.al. (2015)
Fig. 1 Cloud Wireless Telemetry System Architecture
G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
CLOUD WIRELESS TELEMETRY SYSTEM (2)
The system is built by using components that have extremely low power consumption
and can also operate totally independent with a solar panel.
The cloud wireless telemetry system communicates with the data center and with each
other by radio. These systems support several radio technologies at the same time: UHF
(Ultra High Frequency) - short and long distance, GSM (Global System for Mobile), GPRS
(General Packet Radio Service) or UMTS (Universal Mobile Telecommunications Service).
The Gateway starts a cycle to collect data from each station, and when this cycle is
finished, it automatically starts a new cycle. .
G. Suciu, et.al. (2015)
@GeorgeSuciuG #beyond2050
APPLICATION SCENARIOS AND RESULTS (1)
In this section, we describe the application scenarios and present the experimentation
results by using an Android application, highlighting the advantages of the Cloud
integration.
The purpose of the Cloud software is to generate graphs, trends, and extensions for
analyzing the data collected by sensors on the field stations.
We list some features offered by the Cloud wireless telemetry system: Icons, widgets
and menus can been added or changed; new colors and color schemes can be applied;
Map fusion of data; Display of trends using virtual instruments; Values that are not
plausible can be marked as bad or removed manually in a time interval.
G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
APPLICATION SCENARIOS AND RESULTS (2)
Furthermore, we developed an Android application using Java, with the purpose to
access the database of the Cloud system in near-real time. As presented in Fig. 2, this
application provides to users a main screen with the following views: map view, list
view and panel view (Fig. 2).
G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
Fig. 2. Main screen of Android telemetry application
APPLICATION SCENARIOS AND RESULTS (3)
In Fig. 3 we present the list view that contains the telemetry nodes (RTUs) and their
sensors. Additionally, the panel view allows the viewing of virtual instruments and data
processing (AVG, SUM, MIN, MAX) for different sensors.
G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
Fig. 3. Main screen of Android telemetry application
APPLICATION SCENARIOS AND RESULTS (4)
A. Disease management
The platform enables the selective use of inputs such as water, fertilizers or chemicals,
therefore offering a platform for improved disease risk management.
B. Accurate Environmental Data
The wireless telemetry system delivers data 24/7, at any time, any season, and any
location. Data is available almost in real time, any alarming shifts in water or air
quantity or quality can immediately trigger the required actions or workflows.
C. Environmental Monitoring
Reduced IT Costs ;
Scalability;
Almost Unlimited Storage;
Backup and Recovery.
G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
Conclusions
In this paper we presented the integration of telemetry sensors and Cloud Computing to
provide a secure environmental monitoring system.
The wireless telemetry system benefits from utilizing Cloud storage and an optimized
framework for processing, storage and retrieval of WSN data.
The proposed cloud wireless telemetry system provides an optimal approach to user
management, access control, storage and retrieval of distributed data.
Future work will include further development of the data processing, storage and retrieval
methodology.
G. Suciu, et.al. (2015)G. Suciu, et.al. (2015)
@GeorgeSuciuG #beyond2050
University “POLITEHNICA“ of Bucharest
Faculty of Electronics, Telecommunications & Information Technology
Any questions ?
george@beia.ro
The work has been funded by the Sectoral Operational Programme Human Resources Development 2007-2013 of the Ministry of
European Funds through the Financial Agreement POSDRU/159/1.5/S/134398.
G. Suciu, et.al. (2015)G. Suciu, et.al. (2015)
@GeorgeSuciuG #beyond2050
References (1)
S. Krco, V. Tsiatsis, K. Matusikova, M. Johansson, I. Cubic, R. Glitho, "Mobile Network Supported
Wireless Sensor Network Services," Mobile Adhoc and Sensor Systems, 2007. MASS 2007. IEEE
International Conference on , 2007, pp.1-3.
M. Branzila, F. Mariut, D. Petrisor, "Virtual instrument developed for adcon weather station," Electrical
and Power Engineering (EPE), 2012 International Conference and Exposition on , 2012, pp. 853-856.
M. Almorsy, J. Grundy, A. Ibrahim, "Collaboration-Based Cloud Computing Security Management
Framework," Cloud Computing (CLOUD), 2011 IEEE International Conference on, 2011, pp. 364-371.
G. Suciu, V. Suciu, S. Halunga, O. Fratu, and B. Anggorojati, "Cloud systems and big data processing
for environmental telemetry," In Applied and Theoretical Electricity (ICATE), 2014 International
Conference on, 2014, pp. 1-4.
A. Vasilescu, G. Suciu, and V. Suciu, ”Monitoring the Danube with Adcon Telemetry Equipment – a Case
Study for OTT Hydromet and Rowater Company,” Conference proceedings of 2nd International
Conference on “Water resources and wetlands” - WATER2014, 2014, pp. 221-230.
G. Suciu, S. Halunga, O. Fratu, A. Vasilescu, V. Suciu, “Study for Renewable Energy Telemetry using a
Decentralized Cloud M2M System”, 15th International Symposium on Wireless Personal Multimedia
Communications (WPMC), IEEE, 2013, pp. 1-5.
G. Suciu, et.al. (2015)G. Suciu, et.al. (2015)
@GeorgeSuciuG #beyond2050
References (2)
G. Suciu, et.al. (2015)
G. Bodner, P. Scholl, and H-P. Kaul, "Field quantification of wetting–drying cycles to predict temporal changes of soil
pore size distribution," Soil and Tillage Research 133, 2013, pp. 1-9.
G. Vellidis, M. Tucker, C. Perry, C. Kvien, and C. Bednarz, "A real-time wireless smart sensor array for scheduling
irrigation." Computers and electronics in agriculture, vol. 61, no. 1, 2008, pp. 44-50.
M. Seelye, G. Sen Gupta, D. Bailey, J. Seelye, "Low cost colour sensors for monitoring plant growth in a
laboratory," Instrumentation and Measurement Technology Conference (I2MTC), 2011, pp.1-6.
Bhattacharya S., Sridevi S., Pitchiah R., Indoor air quality monitoring using wireless sensor networks.
Ochian, A.; Suciu, G.; Fratu, O.; Suciu, V., "Big data search for environmental telemetry," Communications and
Networking (BlackSeaCom), 2014 IEEE International Black Sea Conference on , vol., no., pp.182,184, 27-30 May
2014
Gibson, J.; Rondeau, R.; Eveleigh, D.; Qing Tan, "Benefits and challenges of three cloud computing service
models," Computational Aspects of Social Networks (CASoN), 2012 Fourth International Conference on , vol., no.,
pp.198,205, 21-23 Nov. 2012
G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050

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Suciu et al_ro_edunet_2015_2

  • 1. INTEGRATING TELEMETRY SENSORS WITH CLOUD COMPUTING • George Suciu, Victor Suciu, Valentina Cirstea, Alexandra Focsa and Simona Halunga Faculty of Electronics, Telecommunications and IT University POLITEHNICA of Bucharest • Omar Abdulwahabe Mohamad, Stefan Ciprian Arseni and Cristina Butca Faculty of Automatic Control and Computers BEIA Consult International University POLITEHNICA of Bucharest Bucharest, Romania R&D Department, Beia Consult International 2015 14th RoEduNet International Conference - Networking in Education and Research (NER'2015) @GeorgeSuciuG #beyond2050
  • 2. Content Short Biography Introduction Telemetry sensors related work Indoor environmental monitoring using wireless sensor networks Application scenarios and results Conclusions and Discussions G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
  • 3. Short Biography (1) Graduated from the Faculty of Electronics, Telecommunications and Information Technology at the University “Politehnica” of Bucharest (UPB), Romania (www.upb.ro) MBA in Informatics Project Management from the Faculty of Cybernetics, Statistics and Economic Informatics of the Academy of Economic Studies Bucharest (www.ase.ro) Currently, Ph.D. Eng. Post-doc Researcher focused on the field of big data, cloud communications, open source, IPR and IoT/M2M Since 2008 IT&C Solutions Manager - R&D Department, being employed starting 1998 at BEIA Consult International, a research performing SME (www.beiaro.eu) G. Suciu, et.al. (2015)G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
  • 4. Short Biography (2) Projects – www.beiaro.eu / www.mobcomm.pub.ro FP7 (2 on-going) REDICT : Regional Economic Development by ICT eWALL : Electronic Wall for Active Long Living NMSDMON : Network Management System Development and Monitoring FAIR : Friendly Application for Interactive Receiver Cloud Consulting : Cloud-based Automation of ERP and CRM software for Small Businesses ACCELERATE: A Platform for the Acceleration of go-to market in the ICT industry H2020 (1 on-going) SWITCH: Software Workbench for Interactive, Time Critical and Highly self-adaptive Cloud applications (ICT-9) Power2SME Speech2Platform National (more than 10 past projects, 5 on-going) MobiWay: Mobility Beyond Individualism: an IntegratedPlatform for Intelligent Transportation Systems of Tomorrow EV-BAT: Redox battery with fast charging capacity as a main source of energy for electric autovehicles CarbaDetect: Imuno-biosensors for fast detection of carbamic pesticide residues (carbaryl, carbendazim) in horticultural products SARAT-IWSN : Scalable Radio Transceiver for Instrumental Wireless Sensor Networks COMM-CENTER : Developing of a “cloud communication center" by integrating a call/contact center platform with unified communication technology, CRM system, “text-to-speech” and “automatic speech recognition” solutions in different languages (including Romanian) G. Suciu, et.al. (2015)G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
  • 5. Introduction Wireless Sensor Networks (WSN) have found their way into a wide variety of applications and systems with vastly varying requirements and characteristics. Furthermore, telemetry systems provide permanent collection and assessment of reliable measurement data. Monitoring the environment and managing measurement networks professionally is often complex and demands time and resource investment. Implementing Cloud Computing in sensor networks will allow the company to increase capacity without the need for new infrastructure investment. Telemetry networks are designed to collect data in the real world. The problem is what to do with the data when the consumer no longer requires it. We describe the integration of framework is proposed between a sensor network using Adcon telemetry equipment and Cloud Computing. G. Suciu, et.al. (2015)G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
  • 6. TELEMETRY SENSORS related work (1) Sensors are complex devices that are used to detect and respond to electrical or optical signals. A sensor converts a physical parameter into a signal that can be measured electrically. Telemetry requires the use of highly accurate sensors with excellent long-term stability and the possibility to remotely gather data using different types of sensors. Specific Internet Protocol (SIP) isolates IPv4 on hosts from wide area network (WAN) infrastructures while delivering IPv4 traffic through WANs between hosts.Multi-Tier Internet Protocol (MTIP)provides a tree-like topology and is used for delivering SIP traffic. G. Suciu, et.al. (2015)G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
  • 7. TELEMETRY SENSOR related work (2) For hydrometry, precipitation sensors that can measure the quantity and intensity of the precipitations were used: RG1 Rain Gauge, with an orifice of 200 or 400, OTT weighing rain gauge in 200 or 400, Rain Gauge WMO 0.1 & 0.2 mm and the Irrigation Meter with a resolution of 1 mm and a 5m cable. For soil moisture and temperature, the following sensors are recommended for field use: Adcon T8 Tensiometer, Adcon SM1 Soil Moisture Sensor, Hydra Probe II SDI, A512 Watermark Interface and Watermark Sensor with a 5m cable. For environmental telemetry experiments are reported using an air quality station, CO2 sensors, Compass sensors (A515 V2), leaf wetness sensors (WET) and a few sensors for pipeline pressure (Adcon PA-1 Manometer 0-10 bar, Adcon PA-1 Manometer 0-30 and PA36 Manometer sensor). G. Suciu, et.al. (2015)G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
  • 8. Indoor air quality (IAQ) is a term describing the air quality of a building, room. It refers to the health and comfort of building occupants and also the nature of the conditioned air that circulates throughout space/area. IAQ can be affected by microbial contaminants (mold, fungus) which largely depend on temperature and humidity condition of a room, gaseous pollutants (including carbon monoxide, carbon dioxide, volatile organic compounds etc) and dust particles or aerosols. These pollutants can induce adverse health effects to building occupants. To avoid such adverse effects, an air quality monitoring system is utmost required. The proposed method is to measure the environmental parameters like temperature and humidity to determine the environmental health of an indoor space. INDOOR ENVIRONMENTAL MONITORING USING WIRELESS SENSOR NETWORKS G. Suciu, et.al. (2015)G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
  • 9. In this section we propose a cloud wireless telemetry system that consists mainly of one or more sensors, for temperature, pressure, sound, light, etc. and a remote terminal unit (RTU) for collecting and transmitting the data to a cloud platform. A gateway is used as a base of the telemetry network and it is programmed to exactly know when and how to retrieve data from each RTU (Fig. 1). CLOUD WIRELESS TELEMETRY SYSTEM (1) G. Suciu, et.al. (2015) Fig. 1 Cloud Wireless Telemetry System Architecture G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
  • 10. CLOUD WIRELESS TELEMETRY SYSTEM (2) The system is built by using components that have extremely low power consumption and can also operate totally independent with a solar panel. The cloud wireless telemetry system communicates with the data center and with each other by radio. These systems support several radio technologies at the same time: UHF (Ultra High Frequency) - short and long distance, GSM (Global System for Mobile), GPRS (General Packet Radio Service) or UMTS (Universal Mobile Telecommunications Service). The Gateway starts a cycle to collect data from each station, and when this cycle is finished, it automatically starts a new cycle. . G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
  • 11. APPLICATION SCENARIOS AND RESULTS (1) In this section, we describe the application scenarios and present the experimentation results by using an Android application, highlighting the advantages of the Cloud integration. The purpose of the Cloud software is to generate graphs, trends, and extensions for analyzing the data collected by sensors on the field stations. We list some features offered by the Cloud wireless telemetry system: Icons, widgets and menus can been added or changed; new colors and color schemes can be applied; Map fusion of data; Display of trends using virtual instruments; Values that are not plausible can be marked as bad or removed manually in a time interval. G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
  • 12. APPLICATION SCENARIOS AND RESULTS (2) Furthermore, we developed an Android application using Java, with the purpose to access the database of the Cloud system in near-real time. As presented in Fig. 2, this application provides to users a main screen with the following views: map view, list view and panel view (Fig. 2). G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050 Fig. 2. Main screen of Android telemetry application
  • 13. APPLICATION SCENARIOS AND RESULTS (3) In Fig. 3 we present the list view that contains the telemetry nodes (RTUs) and their sensors. Additionally, the panel view allows the viewing of virtual instruments and data processing (AVG, SUM, MIN, MAX) for different sensors. G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050 Fig. 3. Main screen of Android telemetry application
  • 14. APPLICATION SCENARIOS AND RESULTS (4) A. Disease management The platform enables the selective use of inputs such as water, fertilizers or chemicals, therefore offering a platform for improved disease risk management. B. Accurate Environmental Data The wireless telemetry system delivers data 24/7, at any time, any season, and any location. Data is available almost in real time, any alarming shifts in water or air quantity or quality can immediately trigger the required actions or workflows. C. Environmental Monitoring Reduced IT Costs ; Scalability; Almost Unlimited Storage; Backup and Recovery. G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
  • 15. Conclusions In this paper we presented the integration of telemetry sensors and Cloud Computing to provide a secure environmental monitoring system. The wireless telemetry system benefits from utilizing Cloud storage and an optimized framework for processing, storage and retrieval of WSN data. The proposed cloud wireless telemetry system provides an optimal approach to user management, access control, storage and retrieval of distributed data. Future work will include further development of the data processing, storage and retrieval methodology. G. Suciu, et.al. (2015)G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
  • 16. University “POLITEHNICA“ of Bucharest Faculty of Electronics, Telecommunications & Information Technology Any questions ? george@beia.ro The work has been funded by the Sectoral Operational Programme Human Resources Development 2007-2013 of the Ministry of European Funds through the Financial Agreement POSDRU/159/1.5/S/134398. G. Suciu, et.al. (2015)G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
  • 17. References (1) S. Krco, V. Tsiatsis, K. Matusikova, M. Johansson, I. Cubic, R. Glitho, "Mobile Network Supported Wireless Sensor Network Services," Mobile Adhoc and Sensor Systems, 2007. MASS 2007. IEEE International Conference on , 2007, pp.1-3. M. Branzila, F. Mariut, D. Petrisor, "Virtual instrument developed for adcon weather station," Electrical and Power Engineering (EPE), 2012 International Conference and Exposition on , 2012, pp. 853-856. M. Almorsy, J. Grundy, A. Ibrahim, "Collaboration-Based Cloud Computing Security Management Framework," Cloud Computing (CLOUD), 2011 IEEE International Conference on, 2011, pp. 364-371. G. Suciu, V. Suciu, S. Halunga, O. Fratu, and B. Anggorojati, "Cloud systems and big data processing for environmental telemetry," In Applied and Theoretical Electricity (ICATE), 2014 International Conference on, 2014, pp. 1-4. A. Vasilescu, G. Suciu, and V. Suciu, ”Monitoring the Danube with Adcon Telemetry Equipment – a Case Study for OTT Hydromet and Rowater Company,” Conference proceedings of 2nd International Conference on “Water resources and wetlands” - WATER2014, 2014, pp. 221-230. G. Suciu, S. Halunga, O. Fratu, A. Vasilescu, V. Suciu, “Study for Renewable Energy Telemetry using a Decentralized Cloud M2M System”, 15th International Symposium on Wireless Personal Multimedia Communications (WPMC), IEEE, 2013, pp. 1-5. G. Suciu, et.al. (2015)G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050
  • 18. References (2) G. Suciu, et.al. (2015) G. Bodner, P. Scholl, and H-P. Kaul, "Field quantification of wetting–drying cycles to predict temporal changes of soil pore size distribution," Soil and Tillage Research 133, 2013, pp. 1-9. G. Vellidis, M. Tucker, C. Perry, C. Kvien, and C. Bednarz, "A real-time wireless smart sensor array for scheduling irrigation." Computers and electronics in agriculture, vol. 61, no. 1, 2008, pp. 44-50. M. Seelye, G. Sen Gupta, D. Bailey, J. Seelye, "Low cost colour sensors for monitoring plant growth in a laboratory," Instrumentation and Measurement Technology Conference (I2MTC), 2011, pp.1-6. Bhattacharya S., Sridevi S., Pitchiah R., Indoor air quality monitoring using wireless sensor networks. Ochian, A.; Suciu, G.; Fratu, O.; Suciu, V., "Big data search for environmental telemetry," Communications and Networking (BlackSeaCom), 2014 IEEE International Black Sea Conference on , vol., no., pp.182,184, 27-30 May 2014 Gibson, J.; Rondeau, R.; Eveleigh, D.; Qing Tan, "Benefits and challenges of three cloud computing service models," Computational Aspects of Social Networks (CASoN), 2012 Fourth International Conference on , vol., no., pp.198,205, 21-23 Nov. 2012 G. Suciu, et.al. (2015) @GeorgeSuciuG #beyond2050