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Federated sensor clouds and spatial ambient intelligence
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International Journal of Sensor Networks and Data Communications

ISSN: 2090-4886

Open Access

Federated sensor clouds and spatial ambient intelligence


International Conference and Business Expo on Wireless Communication & Network

September 21-23, 2015 Baltimore, USA

Adnan Al-Anbuky

Auckland University of Technology, New Zealand

Posters-Accepted Abstracts: Sensor Netw Data Commun

Abstract :

Modern enabling technologies like the Internet of Things IoT and Cloud Computing have opened up more doors for emphasizing the importance of the field of wireless Sensor Network. Research and development of concepts related to sensor networks are emphasizing the various modes of communication, including Cognitive networking, Opportunistic connectivity and Machine-to-Machine communication. Areas like data and reality mining, cyber-physical systems and others, with emphasis on spatio-temporal coverage, have started formulating highly complex dynamic systems. With the need for integrating the multiple subspaces and multiple phenomena, these systems are centered round federation of sensor clouds over the internet. These systems are driving towards the smart cities and what has been referred to as the planet nervous system. While elements of the concept have started taking shape, there are significant operational and optimization challenges that need to be addressed. The talk will provide key highlights to the large scale systems organization and the role of key acting elements in facilitating efficient services. The roles of sensor clouds and related big data, the Internet and related IoT architecture and the virtual Cloud and related services will be discussed. Examples taken from the experience of AUT SeNSe research laboratory will be used for demonstrating the various aspects of the system architecture. Furthermore the talk will shed the light on the future directions of these technologies as it contributes to the fabrics of smart cities.

Biography :

Email: adnan.anbuky@aut.ac.nz

Google Scholar citation report
Citations: 343

International Journal of Sensor Networks and Data Communications received 343 citations as per Google Scholar report

International Journal of Sensor Networks and Data Communications peer review process verified at publons

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