An efficient framework for smart city using big data technologies and internet of things

Abstract

The evolution of cloud computing, Internet of things (IoT) and big data has played vital role in the development of smart cities. IoT uses various types of embedded devices, such as sensors, actuators, Bluetooth, Wi-Fi, radio frequency identification (RFID), and ZigBee to collect data from different smart city applications. The huge amount of data, which are collected from different applications are known as big data. To perform real-time processing on data, data collected from smart city applications an efficient framework are required. This framework can combine big data technologies with IoT services toward smart city. In this paper, various IoT communication techniques are discussed with big data technologies. Then, a framework is proposed for handling big data generated from smart city applications. The proposed framework primarily focuses on problems related to smart city vision for real-time decision-making. In addition, this paper discusses the various principles and requirements of smart city for enhancing the life standard of people. The proposed framework can serve as a benchmark for authorities and policy makers in smart cities enhancement with the use of IoT concept, features, and big data technologies.