| Title |
Smart city designing and planning based on big data analytics |
| ID_Doc |
40498 |
| Authors |
Khan, M; Babar, M; Ahmed, SH; Shah, SC; Han, K |
| Title |
Smart city designing and planning based on big data analytics |
| Year |
2017 |
| Published |
|
| DOI |
10.1016/j.scs.2017.07.012 |
| Abstract |
The Internet of Things (IoT) provides a global communication network between millions of devices connected to the internet. Similarly, the emergence of heterogeneous wireless networks provides a medium to the IoT communication paradigm. In order to enable an energy-friendly communication in an IoT environment, such as smart home, office, city, etc. we propose an energy-aware communication systems for IoT environments. The proposed scheme works in several phases such as identification of high energy require appliances, deployment of sensors, scheduling, etc. Moreover, the data from the IoT devices are collected through sensors. The data is tested using the Hadoop ecosystem for future planning and efficient usage of the energy in an IoT environment. The proposed architecture is tested in a different scenario against the Wireless Sensor Network (WSN) based IoT architecture in the context of energy consumption. The proposed architecture performs efficiently than WSN in a number of scenarios. Similarly, the efficiency and processing time of the Hadoop system is computed which shows better results. |
| Author Keywords |
IoT; RFID; Sensors; Heterogeneous wireless network; Smart home |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000415898200022 |
| WoS Category |
Construction & Building Technology; Green & Sustainable Science & Technology; Energy & Fuels |
| Research Area |
Construction & Building Technology; Science & Technology - Other Topics; Energy & Fuels |
| PDF |
|