Page 248 - ITU Kaleidoscope 2016

2016 ITU Kaleidoscope Academic Conference

the environment and to promote actions to avoid its [8] Wu C, et al. Concinnity: A generic Platform for Big
deterioration. Sensor Data Applications. 2014. IEEE Cloud
Computing (Volume:1 , Issue: 2 )
It is possible to install a model that is easy to replicate, low
cost and environmentally-friendly, to create a vast network [9] eTree by Sologic - Renewable Energy Systems. 2016.
of measurement instruments to test the air quality and to http://solargiving.com/the-etree/
provide internet access.

The data and sensor network that has been designed works [10] B.A.T.M.A.N. Advanced https://www.open-
perfectly with renewable energies. That way, the CleanWiFi mesh.org/projects/batman-adv/wiki/Wiki
network contributes to the development of smarter and
sustainable cities, involving their citizens in the [11] ITU. 2016. Draft Recommendation ”Requirements of
environmental protection. the network for the Internet of Things” (Y.IoT-
network-reqts) - Draft output of Q2/20 meeting,
With the development of the idea of CleanWiFi, the Geneva, 25 July-5 August 2016.
necessary knowledge bases are created to make
recommendations for massive monitoring of air quality, [12] ITU. 2014. Overview of key performance indicators in
storage and processing of data, and technical specifications smart sustainable cities.
of the KPI, as part of the study groups of ITU-T in the areas
of Environment and climate change and IoT and
applications, smart cities.

REFERENCES

[1] I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, E.
Cayirci. 2002. Wireless sensor networks: a survey.
Broadband and Wireless Networking Laboratory,
School of Electrical and Computer Engineering,
Georgia Institute of Technology, Atlanta, GA 30332,
USA

[2] Deshpande P, Madankar M. 2015. Techniques
Improving Throughput of Wireless Sensor Network: A
Survey. 2015 International Conference on Circuit,
Power and Computing Technologies [ICCPCT].

[3] Nguyen M, L Trung. 2014. Low-Power and Cost-
Effective Wifi Sensor Motes for Wireless Embedded
Internet Application. The 2014 International
Conference on Advanced Technologies for
Communications (ATC'14)

[4] Tianfang Bernie Fang & Yongmei Lu (2012) Personal
real-time air pollution exposure assessment methods
promoted by information technological advances,
Annals of GIS, 18:4, 279-288, DOI:
10.1080/19475683.2012.727866

[5] Hortelano J. Et al. 2007. A Wireless Mesh Network-
based System for Hotspots Deployment and
Management. Third International Conference on
Networking and Services(ICNS'07). IEEE

[6] NoDogSplash on OpenWRT.
https://wiki.openwrt.org/doc/howto/wireless.hotspot.n
odogsplash

[7] DataWiFi. Internet con propósito.
http://www.datawifi.co

– 230 –