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Development of SMART CITY Using IOT and BIG Data
Authors: - IJCT E.N.Ganesh
Number of views: 274
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: 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