Developing a cloud based system for bird nests environment and behavior data monitoring and analysis, following the Internet of Things paradigm

Main Article Content

Alexis Gamboa-Soto

Abstract

This work presents the design and development of a cloud based system prototype for
monitoring birds in the wild, following the Internet of Things paradigm principles and tendencies.
The behavior and population of birds represent an important metric to measure the health of
an ecosystem, becoming a very important tool to study the climate change influence on the
environment. The system is built using NodeJs for the backend and a Cloud Computing Platform
as a Service technology is utilized for the deployment to enhance the accessibility and scalability,
while reducing operation and deployment costs. For this project, it is assumed the challenge
of deploying the prototype without any monetary investment. The research main purpose is
to set a real time bird nest monitoring web system, for environment and animal behavior data
collection and analysis, designed to define a communication standard for the integration from
custom made devices utilized to collect the data, allowing for a better integration of different
contraptions built to obtain wildlife data with minimum interference and giving enough dynamism
with stateless communication protocols to handle new data types from a wide variety of sensors.
The standardization and centralization aims to solve the current issue of remotely collecting data

Article Details

How to Cite
Gamboa-Soto, A. (2020). Developing a cloud based system for bird nests environment and behavior data monitoring and analysis, following the Internet of Things paradigm. Tecnología En Marcha Journal, 33(7), Pág. 32–44. https://doi.org/10.18845/tm.v33i7.5472
Section
Artículo científico

References

IPCC, 2014: Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth

Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, R.K. Pachauri and

L.A. Meyer (eds.)]. IPCC, Geneva, Switzerland, 151 pp.

Both, C., Bouwhuis, S., Lessells, C. M., & Visser, M. E. (2006). Climate change and population declines in a

long-distance migratory bird. Nature, 441(7089), 81.

Pejchar, L., Pringle, R. M., Ranganathan, J., Zook, J. R., Duran, G., Oviedo, F., & Daily, G. C. (2008). Birds as

agents of seed dispersal in a human-dominated landscape in southern Costa Rica. Biological Conservation,

(2), 536-544.

Mahale, R. B., & Sonavane, S. S. (2016). Smart Poultry Farm Monitoring Using IOT and Wireless Sensor

Networks. International Journal of Advanced Research in Computer Science, 7(3).

Elias, A. R., Golubovic, N., Krintz, C., & Wolski, R. (2017, April). Where’s the Bear?-Automating Wildlife Image

Processing Using IoT and Edge Cloud Systems. In Internet-of-Things Design and Implementation (IoTDI), 2017

IEEE/ACM Second International Conference on (pp. 247-258). IEEE.

Morrison, M. L. (2013). Wildlife restoration: techniques for habitat analysis and animal monitoring (Vol. 1). Island

Press.

Ashton, K. (2009). RFID Journal, 1.That ‘Internet of Things’ Thing. Recovered from http://www.rfidjournal.com/

articles/view?4986

Gubbi, J., Buyya, R., Marusic, S. & Palaniswami, M. (September 2013). Internet of Things (IoT): A vision, architectural elements, and future directions Future Generation Computer Systems, 29, 1645-1660. doi: 10.1016/j.

future.2013.01.010

Fielding, R. T. (2000). Architectural styles and the design of network-based software architectures (Doctoral

dissertation, University of California, Irvine).

Guinard, D., Ion, I., & Mayer, S. (2011, December). In search of an internet of things service architecture:

REST or WS-*? A developers’ perspective. In International Conference on Mobile and Ubiquitous Systems:

Computing, Networking, and Services (pp. 326-337). Springer Berlin Heidelberg.

Zhang, X., Wen, Z., Wu, Y., & Zou, J. (2011, May). The implementation and application of the internet of things

platform based on the rest architecture. In Business Management and Electronic Information (BMEI), 2011

International Conference on (Vol. 2, pp. 43-45). IEEE.

Rodriguez, A. (2015). Restful web services: The basics. IBM developerWorks. Recovered from https://www.

ibm.com/developerworks/library/ws-restful/index.html

Tauro, C. J., Aravindh, S., & Shreeharsha, A. B. (2012). Comparative study of the new generation, agile, scalable, high performance NOSQL databases. International Journal of Computer Applications, 48(20), 1-4.

Doglio, F. (2015). Pro REST API Development with Node. js. Apress. Recovered from https://www.apress.com/

gp/book/9781484209172#otherversion=9781484209189

Rockford, M (2017). 8 Reasons This Salesforce Developer Loves Heroku. Recovered from https://medium.

com/@GoRadialspark/8-reasons-this-salesforce-developer-loves-heroku-60159426d167

Colitti, W., Steenhaut, K., & De Caro, N. (2011). Integrating wireless sensor networks with the web. Extending

the Internet to Low power and Lossy Networks (IP+ SN 2011).