Saeed, Sabeeh Ahmad and Khan, Farrukh Zeeshan and Iqbal, Zeshan and Alroobaea, Roobaea and Ahmad, Muneer and Talha, Muhammad and Raza, Muhammad Ahsan and Ali, Ihsan (2021) An IoT-Based Network for smart urbanization. Wireless Communications and Mobile Computing, 2021. ISSN 1530-8669, DOI https://doi.org/10.1155/2021/5584667.
Full text not available from this repository.Abstract
Internet of Things (IoT) is considered one of the world's ruling technologies. Billions of IoT devices connected together through IoT forming smart cities. As the concept grows, it is very challenging to design an infrastructure that is capable of handling large number of devices and process data effectively in a smart city paradigm. This paper proposed a structure for smart cities. It is implemented using a lightweight easy to implement network design and a simpler data format for information exchange that is suitable for developing countries like Pakistan. Using MQTT as network protocol, different sensor nodes were deployed for collecting data from the environment. Environmental factors like temperature, moisture, humidity, and percentage of CO2 and methane gas were recorded and transferred to sink node for information sharing over the IoT cloud using an MQTT broker that can be accessed any time using Mosquitto client. The experiment results provide the performance analysis of the proposed network at different QoS levels for the MQTT protocol for IoT-based smart cities. JSON structure is used to formulate the communication data structure for the proposed system.
| Item Type: | Article |
|---|---|
| Funders: | Taif University, Taif, Saudi Arabia [Grant No: TURSP-2020/36], King Saud University, Faculty of Computer Science and Information Technology, University of Malaya [Grant No: PG035-2016A] |
| Uncontrolled Keywords: | Internet of Things (IoT); Smart cities; Information sharing |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 12 Jul 2022 03:46 |
| Last Modified: | 27 Nov 2024 01:25 |
| URI: | http://eprints.um.edu.my/id/eprint/33935 |
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