PL EN


Preferences help
enabled [disable] Abstract
Number of results
2016 | 41 | 45-54
Article title

IoT and Big Data towards a Smart City

Authors
Content
Title variants
Languages of publication
EN
Abstracts
EN
The fast growth in the population density in urban areas demands more facilities and resources. To meet the needs of city development, the use of Internet of Things (IoT) devices and the smart systems is the very quick and valuable source. However, thousands of IoT devices are interconnecting and communicating with each other over the Internet results in generating a huge amount of data, termed as Big Data. To integrate IoT services and processing Big Data in an efficient way aimed at smart city is a challenging task. Therefore, in this paper, we proposed a system for smart city development based on IoT using Big Data Analytics. We use sensors deployment including smart home sensors, vehicular networking, weather and water sensors, smart parking sensor, and surveillance objects, etc. initially a four-tier architecture is proposed, which includes 1) Bottom Tier: which is responsible for IoT sources, data generations, and collections 2) Intermediate Tier-1: That is responsible for all type of communication between sensors, relays, base stations, the internet, etc. 3) Intermediate Tier 2: it is responsible for data management and processing using Hadoop framework, and 4) Top tier: it is responsible for application and usage of the data analysis and results generated. The collected data from all smart system is processed at real-time to achieve smart cities using Hadoop with Spark, VoltDB, Storm or S4. We use existing datasets by various researchers including smart homes, smart parking weather, pollution, and vehicle for analysis and testing. All the datasets are replayed to test the real-time efficiency of the system. Finally, we evaluated the system by efficiency in term of throughput and processing time. The results show that the proposed system is scalable and efficient.
Keywords
Year
Volume
41
Pages
45-54
Physical description
Contributors
author
  • The School of Computer Science and Engineering, Kyungpook National University, South Korea
References
  • [1] CISCO, The Internet of Things, Infographic, available online at: http://blogs.cisco.com/news/the-internet-of-things-infographic, May24, 2015.
  • [2] Awais Ahmad, Anand Paul, M. Mazhar Rathore, Hangbae Chang, “Smart cyber society: Integration of capillary devices with high usability based on cyber-physical system,” Elsevier: Future Generation Computer Systems, Available online 14 August 2015 (In Press). doi:10.1016/j.future.2015.08.004.
  • [3] Zeng, Deze, Song Guo, and Zixue Cheng. The web of things: A survey. Journal of Communications 6(6) (2011) 424-438
  • [4] Srivastava Lara. Japan’s ubiquitous mobile information society. info 6(4) (2004) 234-251
  • [5] Giroux, Sylvain, and Hélène Pigot. From Smart Homes to Smart Care. ICOST 2005, 3rd International Conference on Smart Homes and Health Telematics. Vol. 15. IOS Press, 2005.
  • [6] Han, Sun Sheng. Global city making in Singapore: a real estate perspective. Progress in Planning 64(2) (2005) 69-175
  • [7] O'droma Mairtin, and Ivan Ganchev. The creation of a ubiquitous consumer wireless world through strategic ITU-T standardization. IEEE Communications Magazine, 48(10) (2010) 158-165
  • [8] Xia, Feng, Laurence T. Yang, Lizhe Wang, and Alexey Vinel. Internet of things. International Journal of Communication Systems 25(9) (2012) 1101
  • [9] Dixit, Sudhir, and Ramjee Prasad, eds. Technologies for home networking. John Wiley & Sons, 2007
  • [10] Jin, Jiong, Jayavardhana Gubbi, Slaven Marusic, and Marimuthu Palaniswami. An information framework for creating a smart city through Internet of things. Internet of Things Journal, IEEE 1, no. 2 (2014) 112-121
  • [11] http://data.surrey.ca/dataset/water-meters, accessed on June 30, 2015
  • [12] Vehicular Networks on Two Madrid HighwaysMarco Gramaglia, Oscar Trullols-Cruces, Diala Naboulsi, Marco Fiore, Maria Calderon, IEEE SECON 2014, 3 July, Singapo
  • [13] S. Uppoor, M. Fiore, Large-scale Urban Vehicular Mobility for Networking Research, IEEE VNC 2011, Amsterdam, The Netherlands, November 20
  • [14] D. Naboulsi, M. Fiore, On the Instantaneous Topology of a Large-scale Urban Vehicular Network: the Cologne case, ACM MobiHoc 2013, Bangalore, India, July 2013.
  • [15] S. Uppoor, O. Trullols-Cruces, M. Fiore, J.M. Barcelo-Ordinas, Generation and Analysis of a Large-scale Urban Vehicular Mobility Dataset. IEEE Transactions on Mobile Computing, 13(5) (2014)
  • [16] Stefan Bischof, Athanasios Karapantelakis, Cosmin-Septimiu Nechifor, Amit Sheth, Alessandra Mileo and Payam Barnaghi, "Semantic Modeling of Smart City Data", Position Paper in W3C Workshop on the Web of Things: Enablers and services for an open Web of Devices, 25-26 June 2014, Berlin, Germany.
  • [17] R. Tönjes, P. Barnaghi, M. Ali, A. Mileo, M. Hauswirth, F. Ganz, S. Ganea, B. Kjærgaard, D. Kuemper, S. Nechifor, D. Puiu, A. Sheth, V. Tsiatsis, L. Vestergaard, Real Time IoT Stream Processing and Large-scale Data Analytics for Smart City Applications, poster session, European Conference on Networks and Communications 2014.
  • [18] Sefki Kolozali, Maria Bermudez-Edo, Daniel Puschmann, Frieder Ganz, Payam Barnaghi, A Knowledge-based Approach for Real-Time IoT Data Stream Annotation and Processing, in Proc. of the 2014 IEEE International Conference on Internet of Things (iThings 2014), Taipei, Taiwan, September 2014.
Document Type
article
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.psjd-c7c15ad3-5358-4d88-a3c4-b74bedf7287a
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.