Applications of Fog Computing and Internet of Things in Indian Smart Cities: An Empirical Study

Applications of Fog Computing and Internet of Things in Indian Smart Cities: An Empirical Study

Pragati Priyadarshinee
DOI: 10.4018/IJSESD.302647
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Abstract

Fog-computing and Internet of Things (IoT) together will work as a robust enabling technology for the success of a Smart city. Hence, the study focuses on the critical success factors based on Fog computing-IoT (FIoT) to bring success in Indian Smart cities by introducing a two-stage neural network that includes structural equation modeling and artificial neural network (SEM-ANN) hybrid approach. The research article introduces a new factor, Fog Computing (FC). IoT is again sub-divided into three more factors like the Internet of People (IoP), Internet of Services (IoS), and Internet of Energy (IoE) as the independent variables. 13 Smart cities and 379 respondents are involved in this study in India. The data analysis is done through two-stage SEM and ANN, which measures linear and non-linear relationships. From SEM output, it is identified that the IoE, Internet of People (IoP), and IoS have some significant positive effects on FIOT. The SEM accepted variables are considered the input for the next layer of ANN analysis that identified IoS as FIOT.
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1. Introduction

Linking the Internet of Things (IoT) with smart sensing objects is a current trend. The smart device can collect, monitor, and control the real-world data to internet and communication technology. Smart signifies hardware, software, cloud, sensing devices coming together to communicate through the data with the real world. Sensor devices are inbuilt in IoT through wired or wireless networks using some addresses links of computer networks. It will be useful in important decision making by some analytics. The IoT is a smart connected device that can communicate with objects with some IP addresses. It can be smart lighting, smart logistics, and smart healthcare management, which can be innovative with smart technologies (Nam and Pardo, 2011; Mital et al., 2017). Smart cities are city -connected through data where objects can interact with each other without any human interference. The Smart cities in India are encouraged to adopt IoT through the Technology Acceptance Model. As a policy of Smart city creation, the Government of India has declared for 100 Smart cities creations (Chatterjee et al., 2018). There are several studies on IoT, but its impact and the success ratio are demonstrated very less where the user can accept it. In this regard, Smart city creation can encourage more potential users of IoT technology. More IoT devices will increase the volume of data where the Big-data will come in the role. The data analysis can be done faster and accurately through big-data analytics. These data are transformed into meaningful information for any decision-making ability. Fog computing can be used to reduce the amount of data sent to the cloud for processing (Williams, & Weerakkody, 2015; Rana et al., 2017; Kapoor et al., 2014a; Chauhan et al., 2016; Chatterjee et al., 2017).

Hollands (2008) emphasis on the concept of smart-city to control urbanization intelligently and for sustainable socio-economic development. Kim and Han (2012) identified that population growth in cities increases the pollution and crowd in traffic, which hinders social growth; therefore, Alawadhi et al. (2012) debated on technology growth as the solution for living in a metropolitan city.

According to Wojick (2016), new technologies like IoT, Big data analytics, and Industry 4.0 will help managers fulfill the industry's needs. Although these current technologies have certain advantages, security is still a significant concern in this area. Now, the time is to know what encourages people to go for IoT and discourage them from using smart devices like smartphones (Li et al., 2016). IoT is again associated with people, services, energy, and Fog-computing for the usage, implementation, and storage of data (Lom et al., 2016). Fog computing can support Big-data in storage and networking of smart devices (Muntone, 2013). Fog computing and IoT solutions can give required information to guide the healthcare sector (Rifkin, 2011).

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