City Data Fusion-Reference-Cited by-同舟云学术

City Data Fusion

Published:2017 Issue: Volume: Page:398-422
ISSN:
Container-title:The Internet of Things
language:
Short-container-title:

Author:

Wang Meisong¹,Perera Charith²,Jayaraman Prem Prakash³,Zhang Miranda¹,Strazdins Peter¹,Shyamsundar R.K.⁴,Ranjan Rajiv⁵

Affiliation:

1. Australian National University, Australia

2. The Open University, UK

3. RMIT University, Australia

4. Tata Institute of Fundamental Research, India

5. CSIRO, Australia & Newcastle University, UK

Abstract

Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources. The authors introduce the concept of IoT and present in detail ten different parameters that govern our sensor data fusion evaluation framework. They then evaluate the current state-of-the art in sensor data fusion against our sensor data fusion framework. The authors' main goal is to examine and survey different sensor data fusion research efforts based on our evaluation framework. The major open research issues related to sensor data fusion are also presented.

Publisher

IGI Global

Reference80 articles.

1. Charting past, present, and future research in ubiquitous computing

2. A survey on sensor networks

3. Antonelli, F., Azzi, M., Balduini, M., DellAglio, D., Caviglia, G., Ciuccarelli, P., & Larcher, R. (March 19-20, Athens, Greece, 2014). Towards city data fusion: A big data infrastructure to sense the pulse of a city in real-time. In European data forum 2014.

4. Ashton, K. (2009, June). That 'internet of things' thing in the real world, things matter more than ideas. Retrieved from http://www.rfidjournal.com/article/print/4986

5. The Internet of Things: A survey

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