TY - GEN
T1 - A Web of Things based eco-system for urban computing - towards smarter cities
AU - Kamilaris, Andreas
AU - Pitsillides, Andreas
AU - Prenafeta-Bold, Francesc X.
AU - Ali, Muhammad Intizar
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/31
Y1 - 2017/7/31
N2 - Environmental awareness and knowledge may help people to take more informed decisions in their everyday lives, ensuring their health and safety. The Web of Things enables embedded sensors to become easily deployed in urban areas for environmental monitoring such as air quality, electromagnetism, radiation, etc. In this paper, we propose an eco-system for urban computing which combines the concept of the Web of Things, together with big data analysis and event processing, towards the vision of smarter cities that offer real-time information to their habitants about the urban environment. We touch upon near real-time web-based discovery of sensory services, citizen participation, semantic technologies and mobile computing, helping people to take more informed everyday decisions when interacting with their urban landscape. We then present a case study where we demonstrate the feasibility and usefulness of this eco-system to the everyday lives of citizens.
AB - Environmental awareness and knowledge may help people to take more informed decisions in their everyday lives, ensuring their health and safety. The Web of Things enables embedded sensors to become easily deployed in urban areas for environmental monitoring such as air quality, electromagnetism, radiation, etc. In this paper, we propose an eco-system for urban computing which combines the concept of the Web of Things, together with big data analysis and event processing, towards the vision of smarter cities that offer real-time information to their habitants about the urban environment. We touch upon near real-time web-based discovery of sensory services, citizen participation, semantic technologies and mobile computing, helping people to take more informed everyday decisions when interacting with their urban landscape. We then present a case study where we demonstrate the feasibility and usefulness of this eco-system to the everyday lives of citizens.
UR - http://www.scopus.com/inward/record.url?scp=85028552720&partnerID=8YFLogxK
U2 - 10.1109/ICT.2017.7998277
DO - 10.1109/ICT.2017.7998277
M3 - Conference contribution
AN - SCOPUS:85028552720
T3 - Proceedings of the 24th International Conference on Telecommunications: Intelligence in Every Form, ICT 2017
BT - Proceedings of the 24th International Conference on Telecommunications
A2 - Aghvami, Hamid
A2 - Verikoukis, Christos
A2 - Ellinas, Georgios
A2 - Vassiliou, Vasos
A2 - Kamel, George
A2 - Bellavista, Paolo
A2 - Kolios, Panayiotis
A2 - Chatzinotas, Symeon
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Conference on Telecommunications, ICT 2017
Y2 - 3 May 2017 through 5 May 2017
ER -
