Title
IoT-Based Big Data: From Smart City towards Next Generation Super City Planning.
Abstract
Recently, a rapid growth in the population in urban regions demands the provision of services and infrastructure. These needs can be come up wit the use of Internet of Things IoT devices, such as sensors, actuators, smartphones and smart systems. This leans to building Smart City towards the next generation Super City planning. However, as thousands of IoT devices are interconnecting and communicating with each other over the Internet to establish smart systems, a huge amount of data, termed as Big Data, is being generated. It is a challenging task to integrate IoT services and to process Big Data in an efficient way when aimed at decision making for future Super City. Therefore, to meet such requirements, this paper presents an IoT-based system for next generation Super City planning using Big Data Analytics. Authors have proposed a complete system that includes various types of IoT-based smart systems like smart home, vehicular networking, weather and water system, smart parking, and surveillance objects, etc., for dada generation. An architecture is proposed that includes four tiers/layers i.e., 1 Bottom Tier-1, 2 Intermediate Tier-1, 3 Intermediate Tier 2, and 4 Top Tier that handle data generation and collections, communication, data administration and processing, and data interpretation, respectively. The system implementation model is presented from the generation and collection of data to the decision making. The proposed system is implemented using Hadoop ecosystem with MapReduce programming. The throughput and processing time results show that the proposed Super City planning system is more efficient and scalable.
Year
DOI
Venue
2017
10.4018/IJSWIS.2017010103
Int. J. Semantic Web Inf. Syst.
Keywords
Field
DocType
Big Data, Hadoop, IoT, Smart City, Super City
Population,Data administration,Smart system,Computer science,Home automation,Smart city,Big data,Test data generation,Database,The Internet
Journal
Volume
Issue
ISSN
13
1
1552-6283
Citations 
PageRank 
References 
14
0.70
6
Authors
4
Name
Order
Citations
PageRank
muhammad mazhar ullah rathore130121.15
Anand Paul252746.32
Awais Ahmad337945.85
Gwanggil Jeon4596117.99